coursework of a phd

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How the PhD Program Works

Program Overview

Completing your doctorate at Wharton requires 5 years of full-time study. The first 2 years in the program prepare you for admission to candidacy by taking courses, qualifying exams, and starting research projects. In the last few years, you are primarily conducting research full-time including writing and defending your doctoral dissertation.

Admission to candidacy.

You begin by taking courses required for your program of study. All programs requires a preliminary exam, which may be either oral or written.

Some programs may have further requirements, such as an additional exam or research paper. If you enter with a master’s degree or other transfer credit, you may satisfy the formal course requirements more quickly.

Beginning the Wharton PhD Curriculum How the first two years of the Wharton program helped students discover their interests, learn the tools of the profession, and fuel their passion for teaching.

The Doctoral Dissertation

Upon successful completion of coursework and passing a preliminary examination, you are admitted to candidacy for the dissertation phase of your studies.

Your doctoral dissertation should contain original research that meets standards for published scholarship in your field. You are expected to be an expert in the topic you choose to research.

You are admitted to candidacy for the dissertation phase of your studies upon successful completion of coursework and passing a preliminary examination, but you can start thinking about and working on research of relevance at any time.

The dissertation process culminates with a “defense,” in which you defend the proposal orally before your dissertation committee.

While working on your dissertation, you interact extensively with Wharton faculty. Together with interested faculty, you create your own research community that includes your dissertation advisor and dissertation committee.

Policies and Procedures

Get more detailed explanation of course requirements, academic standards, the Teacher Development Program, time limits, and dissertation procedures and requirements.

Sample Program Sequence

Years 1 & 2.

Coursework Examination Research Papers Research Activities Field-Specific Requirements

Directed Reading & Research Admission to Candidacy Formulation of Research Topic

Years 4 & 5

Continued Research Oral Examination Dissertation

Hear From Our Doctoral Community

What brought this cdc researcher to wharton's phd program, wharton’s phd program prepared this doctor to perform economic evaluations in health care, conducting ground-breaking research at wharton.

Doctoral Program - Coursework

PhD students register for 10 units in each of the autumn, winter and spring quarters. Most courses offered by the department for PhD students are three units, including the core courses of the first year program. In addition to regular lecture courses on advanced topics, reading courses in the literature of probability and the literature of statistics are available each quarter. Students working on their dissertation may register for up to 10 units of directed research in each quarter. Students should also register for selected courses outside the statistics department in order to fulfill the  breadth requirement .

Prerequisites

Equivalents of Math 113, Math 115; Stats 116, Stats 200; CS 106A. (Descriptions of these courses may be viewed on Stanford's  ExploreCourses  course listings pages.

Previous experience has shown that before starting the core courses students need to have mastered the material in the prerequisite courses (or their equivalents at other universities), as demonstrated by very strong and relatively recent grades. Where this background is missing or not recent, admission to the PhD program will involve working with the Graduate Director to design an individual program to make up the necessary courses.

Core Courses

Statistics 300A, 300B and 300C systematically survey the ideas of estimation and of hypothesis testing for parametric and nonparametric models involving small and large samples.

Statistics 305A is concerned with linear regression and the analysis of variance. Statistics 305B and 305C survey a large number of modeling techniques, related to but going significantly beyond the linear models of 305A.

Statistics 310A, 310B and 310C are measure-theoretic courses in probability theory, beginning with basic concepts of the law of large numbers, and martingale theory.

Although the content of the first year core courses is specified by the department, the order in which topics are studied and details of the presentation are left to the instructor and will vary from year to year. Unusually well prepared students may place out of Statistics 305A. Students who do not have a sufficient mathematics background can, with approval from the Graduate Director, take the 310 series after the first year. All core courses must be taken for a letter grade.

Literature/Work In Progress Course

Stats 319 is a literature course in statistics and probability that is offered each quarter. The course is generally taken by students in the second and third years, and may be taken repeatedly. It serves two connected purposes:

• to expose students to a variety of topics of current research interest, for example, to help identify dissertation topics. Students are expected to read a number of articles and to write a short paper related to the reading that is presented to the class. The paper can be a synthesis of the reading material, or it may mark the beginning of research in the area. Reading assignments are made in consultation with any faculty member, especially the course instructor.
• to fulfill the Work in Progress requirement. Each post-quals and pre-orals student gives a 50 minute talk once a year. This requirement gives the student practice in giving and receiving feedback on talk technique, and keeps the department informed on the student's work. The talk can be on dissertation work in progress, on an ancillary project (consulting, RA work), or on a selection of papers that the student has recently read. The instructor of the literature course, along with the student's course peers, provide feedback on the talk, and can also provide guidance in topic choice where needed.

All students who have passed the qualifying exams but have not yet passed the Dissertation Proposal Meeting must take Stats 319 Literature of Statistics at least once per year.

Advanced Courses (Depth Requirement)

Students are required to complete a depth requirement consisting of a minimum of three courses (nine units) of advanced topics courses offered by the department. Courses for the depth and breadth (see below) requirements must equal a combined minimum of 24 units. Recommended advanced topics courses include the following:

• In troduction to Time Series Analysis (Stats 307)
• In formation Theory and Statistics (Stats 311)
• Advanced Statistical Methods (Stats 314A)
• Modern Applied Statistics: Learning (Stats 315A)
• Modern Applied Statistics: Learning II (Stats 315B)
• Stochastic Processes (Stats 317)
• Modern Markov Chains (Stats 318)
• Machine Learning Methods for Neural Data Analysis (Stats 320)
• Function Estimation in White Noise (Stats 322)
• Multivariate Analysis (Stats 325)
• Topics in Probability Theory (Stats 350)
• Topics in Mathematical Physics (Stats 359)
• Causal Inference (Stats 361)
• Monte Carlo (Stats 362)
• Design of Experiments (Stats 363)
• Statistical Models in Genetics (Stats 367)
• Bayesian Statistics (Stats 370)
• Convex Optimization I (EE 364A)
• Convex Optimization II (EE 364B)

In any given year only some of these courses will be offered.

These courses are normally taken after the first year and may help students to find dissertation topics.

Consulting Workshop

Students taking the consulting workshop, Stats 390, provide a free consulting service to the Stanford community. Researchers from all areas of the University drop in to discuss their problems. This course allows students to assimilate the material from their first year courses, especially Stats 305A/B/C.

The consulting is executed by teams of students, in which inexperienced students are matched with those more experienced. The course is offered each quarter and may be taken repeatedly. Students are encouraged to participate in the formulation of the consulting problems and in any data analysis which may be involved.

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PhD Coursework & Plan of Study

Each student will complete at least 39 graduate hours while enrolled in the iSchool doctoral program prior to entering candidacy. A full-time student will ordinarily take two to three years to complete this coursework. To count toward a PhD, all coursework must be no more than six years old when the doctoral student is admitted to candidacy. 

The table below shows the minimum required coursework. Students may take (or be required by their committees to take) additional courses.

Students should review the tentative schedule of  iSchool courses  and the UT course schedule when planning a course of study.

Doctoral Core - 9 Credit Hours

Each student, whether full- or part-time, must take “Survey of Information Studies” in the fall of the student’s first academic year in the program and “Disciplinary Foundations for Information Studies” in the spring of that first year. Students will take “The Research Enterprise” as soon as practical, usually in the fall of their first year.

Research Methods Courses - 9 Credit Hours

Each student must take a minimum of nine credit hours of graduate-level research methods courses beyond the doctoral core:

• One graduate-level course in qualitative methods – three (3) credit hours
• One graduate level course in quantitative methods – three (3) credit hours
• One further graduate-level course germane to building skills to undertake research – three (3) credit hours

This requirement can be met via independent studies with faculty (e.g., INF 391D.06 - Directed Readings , or INF 391D.07 - Directed Research ) or classroom-based courses (e.g., INF 391F - Advanced Topics in Research Methods, Methodologies, and Design ). Research methods courses may be offered and taken within or outside of the iSchool.

The third methods course (beyond the qualitative and quantitative methods courses) can include advanced qualitative or quantitative methods, or coursework in skills necessary to undertake the anticipated dissertation research, including foreign languages, computer programming languages, policy analysis, information systems design, or skills in particular areas, such as chemistry or neuroscience.

All course selections should be discussed with the student’s committee chair, consulting other committee members as appropriate. Prior to enrolling in a course, students must obtain approval from their committee chair, who will confirm the appropriateness of such courses for fulfilling the research methods requirement.

Electives - 21 Credit Hours

The remaining 21 hours of coursework may be completed within the School of Information and/or outside the School of Information. All course choices should be discussed with the student’s committee chair, consulting other committee members as appropriate.

Students are particularly encouraged to take the following courses:

• Advanced Topics in Information Studies (INF 391E) , (aka “topical seminar”) which may be repeated when the individual course topics differ.
• Directed Research (INF 391D.07) in which students work closely with a faculty member, individually or in small groups, to contribute to original research, either in an apprenticeship mode as part of the faculty member’s research agenda or as a student-driven research project.
• Directed Readings (INF 391D.06) , in which students work closely with a faculty member, individually or in small groups, to complete an in-depth examination of the primary research and theory literature of the field in preparation for their qualifying examinations.
• Supervised Teaching in Information Studies (INF 398T) , (aka “the pedagogy course”) and teaching internships in which they work closely with faculty to develop, design, and support implementation of a course plan.
• Doctoral Writing Seminar (INF 391G) which provides an opportunity for students to improve their academic writing skills through a writing studio environment with instructor and peer critique.

Plan of Study

The doctoral student must produce a formal document identified as the Plan of Study prior to their first annual review. The Plan of Study is to be updated each year, prior to the student’s annual review.

The plan of study consists of the following seven components:

• The student’s CV
• One to three paragraph summary of degree progress, including participation in research, teaching, and service
• One paragraph academic plan, including research, teaching, and service, for the next year
• One paragraph description of career goals
• Table of coursework (format is provided below)
• Bullet point list of requested input from the committee
• An appendix with 2-5 recent major outputs (e.g., publications, course papers, etc.)

Coursework Listing

Students should list all the courses they have taken, are currently taking, and those they intend to take to satisfy their requirements for coursework. The format is provided below:

Each course listing should identify: The name of the course, the instructor for the course, the semester in which the course was/will be taken and the number of credit hours and the page number of the appendix where the course details can be found.

Coursework Requirements: Three columns should be used to show whether the course is to be counted towards each section of the coursework requirements. Students should ensure that the plan meets the coursework requirements outlined above.

Doctoral Program Overview

• PhD Degree Requirements
• Committees & Annual Review
• Coursework & Plan of Study
• Qualifying Procedure
• Candidacy & Dissertation

PhD Degree Resources

Student handbook.

• PhD Program Handbook

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Typically, students take four courses per quarter until the course requirements are completed. Students typically complete all coursework in 2-3 years. 

You’ll be required to complete a minimum of courses both in your chosen field and in various other disciplines. Depending on your chosen field, you may take as much as 50% of your coursework outside Stanford GSB. For example, it’s not unusual for students to enroll in a significant number of courses in the Departments of Economics, Engineering, and Sociology .

Because Stanford GSB is close to the center of the university and follows the university calendar , taking courses in other departments is convenient. Your advisor can help you choose such courses.

If you find you’re lacking any prerequisites, you may need to undertake additional preparation before or during your first year to ensure you’re on track to complete all requirements in a timely fashion. If you’ve completed commensurate coursework elsewhere (e.g., at a comparable doctoral program), you may request a waiver for certain coursework.

Stanford University

Specific requirements by field of study.

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PhD Programs

• Accounting & Management
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Students in our PhD programs are encouraged from day one to think of this experience as their first job in business academia—a training ground for a challenging and rewarding career generating rigorous, relevant research that influences practice.

Our doctoral students work with faculty and access resources throughout HBS and Harvard University. The PhD program curriculum requires coursework at HBS and other Harvard discipline departments, and with HBS and Harvard faculty on advisory committees. Faculty throughout Harvard guide the programs through their participation on advisory committees.

How do I know which program is right for me?

There are many paths, but we are one HBS. Our PhD students draw on diverse personal and professional backgrounds to pursue an ever-expanding range of research topics. Explore more here about each program’s requirements & curriculum, read student profiles for each discipline as well as student research , and placement information.

The PhD in Business Administration grounds students in the disciplinary theories and research methods that form the foundation of an academic career. Jointly administered by HBS and GSAS, the program has five areas of study: Accounting and Management , Management , Marketing , Strategy , and Technology and Operations Management . All areas of study involve roughly two years of coursework culminating in a field exam. The remaining years of the program are spent conducting independent research, working on co-authored publications, and writing the dissertation. Students join these programs from a wide range of backgrounds, from consulting to engineering. Many applicants possess liberal arts degrees, as there is not a requirement to possess a business degree before joining the program

The PhD in Business Economics provides students the opportunity to study in both Harvard’s world-class Economics Department and Harvard Business School. Throughout the program, coursework includes exploration of microeconomic theory, macroeconomic theory, probability and statistics, and econometrics. While some students join the Business Economics program directly from undergraduate or masters programs, others have worked in economic consulting firms or as research assistants at universities or intergovernmental organizations.

The PhD program in Health Policy (Management) is rooted in data-driven research on the managerial, operational, and strategic issues facing a wide range of organizations. Coursework includes the study of microeconomic theory, management, research methods, and statistics. The backgrounds of students in this program are quite varied, with some coming from public health or the healthcare industry, while others arrive at the program with a background in disciplinary research

The PhD program in Organizational Behavior offers two tracks: either a micro or macro approach. In the micro track, students focus on the study of interpersonal relationships within organizations and the effects that groups have on individuals. Students in the macro track use sociological methods to examine organizations, groups, and markets as a whole, including topics such as the influence of individuals on organizational change, or the relationship between social missions and financial objectives. Jointly administered by HBS and GSAS, the program includes core disciplinary training in sociology or psychology, as well as additional coursework in organizational behavior.

Accounting & Management  

Business economics  , health policy (management)  , management  , marketing  , organizational behavior  , strategy  , technology & operations management  .

Doctor of Philosophy in Education

Additional Information

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The Harvard Ph.D. in Education trains cutting-edge researchers who work across disciplines to generate knowledge and translate discoveries into transformative policy and practice.

Offered jointly by the Harvard Graduate School of Education and the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences, the Ph.D. in Education provides you with full access to the extraordinary resources of Harvard University and prepares you to assume meaningful roles as university faculty, researchers, senior-level education leaders, and policymakers.

As a Ph.D. candidate, you will collaborate with scholars across all Harvard graduate schools on original interdisciplinary research. In the process, you will help forge new fields of inquiry that will impact the way we teach and learn. The program’s required coursework will develop your knowledge of education and your expertise in a range of quantitative and qualitative methods needed to conduct high-quality research. Guided by the goal of making a transformative impact on education research, policy, and practice, you will focus on independent research in various domains, including human development, learning and teaching, policy analysis and evaluation, institutions and society, and instructional practice.   

Curriculum Information

The Ph.D. in Education requires five years of full-time study to complete. You will choose your individual coursework and design your original research in close consultation with your HGSE faculty adviser and dissertation committee. The requirements listed below include the three Ph.D. concentrations: Culture, Institutions, and Society; Education Policy and Program Evaluation; and Human Development, Learning and Teaching . 

We invite you to review an example course list, which is provided in two formats — one as the full list by course number and one by broad course category . These lists are subject to modification. 

Ph.D. Concentrations and Examples

Summary of Ph.D. Program

Doctoral Colloquia  In year one and two you are required to attend. The colloquia convenes weekly and features presentations of work-in-progress and completed work by Harvard faculty, faculty and researchers from outside Harvard, and Harvard doctoral students. Ph.D. students present once in the colloquia over the course of their career.

Research Apprenticeship The Research Apprenticeship is designed to provide ongoing training and mentoring to develop your research skills throughout the entire program.

Teaching Fellowships The Teaching Fellowship is an opportunity to enhance students' teaching skills, promote learning consolidation, and provide opportunities to collaborate with faculty on pedagogical development.

Comprehensive Exams  The Written Exam (year 2, spring) tests you on both general and concentration-specific knowledge. The Oral Exam (year 3, fall/winter) tests your command of your chosen field of study and your ability to design, develop, and implement an original research project.

Dissertation  Based on your original research, the dissertation process consists of three parts: the Dissertation Proposal, the writing, and an oral defense before the members of your dissertation committee.

Culture, Institutions, and Society (CIS) Concentration

In CIS, you will examine the broader cultural, institutional, organizational, and social contexts relevant to education across the lifespan. What is the value and purpose of education? How do cultural, institutional, and social factors shape educational processes and outcomes? How effective are social movements and community action in education reform? How do we measure stratification and institutional inequality? In CIS, your work will be informed by theories and methods from sociology, history, political science, organizational behavior and management, philosophy, and anthropology. You can examine contexts as diverse as classrooms, families, neighborhoods, schools, colleges and universities, religious institutions, nonprofits, government agencies, and more.

Education Policy and Program Evaluation (EPPE) Concentration

In EPPE, you will research the design, implementation, and evaluation of education policy affecting early childhood, K–12, and postsecondary education in the U.S. and internationally. You will evaluate and assess individual programs and policies related to critical issues like access to education, teacher effectiveness, school finance, testing and accountability systems, school choice, financial aid, college enrollment and persistence, and more. Your work will be informed by theories and methods from economics, political science, public policy, and sociology, history, philosophy, and statistics. This concentration shares some themes with CIS, but your work with EPPE will focus on public policy and large-scale reforms.

Human Development, Learning and Teaching (HDLT) Concentration

In HDLT, you will work to advance the role of scientific research in education policy, reform, and practice. New discoveries in the science of learning and development — the integration of biological, cognitive, and social processes; the relationships between technology and learning; or the factors that influence individual variations in learning — are transforming the practice of teaching and learning in both formal and informal settings. Whether studying behavioral, cognitive, or social-emotional development in children or the design of learning technologies to maximize understanding, you will gain a strong background in human development, the science of learning, and sociocultural factors that explain variation in learning and developmental pathways. Your research will be informed by theories and methods from psychology, cognitive science, sociology and linguistics, philosophy, the biological sciences and mathematics, and organizational behavior.

Program Faculty

The most remarkable thing about the Ph.D. in Education is open access to faculty from all Harvard graduate and professional schools, including the Harvard Graduate School of Education, the Faculty of Arts and Sciences, the Harvard Kennedy School, the Harvard Law School, Harvard Medical School, and the Harvard School of Public Health. Learn about the full Ph.D. Faculty.

Jarvis R. Givens

Jarvis Givens studies the history of American education, African American history, and the relationship between race and power in schools.

Paul L. Harris

Paul Harris is interested in the early development of cognition, emotion, and imagination in children.

Meira Levinson

Meira Levinson is a normative political philosopher who works at the intersection of civic education, youth empowerment, racial justice, and educational ethics. 

Luke W. Miratrix

Luke Miratrix is a statistician who explores how to best use modern statistical methods in applied social science contexts.

Eric Taylor

Eric Taylor studies the economics of education, with a particular interest in employer-employee interactions between schools and teachers — hiring and firing decisions, job design, training, and performance evaluation.

Paola Uccelli

Paola Ucelli studies socio-cultural and individual differences in the language development of multilingual and monolingual students.

View Ph.D. Faculty

Dissertations.

The following is a complete listing of successful Ph.D. in Education dissertations to-date. Dissertations from November 2014 onward are publicly available in the Digital Access to Scholarship at Harvard (DASH) , the online repository for Harvard scholarship.

• 2022 Graduate Dissertations (265 KB pdf)
• 2021 Graduate Dissertations (177 KB pdf)
• 2020 Graduate Dissertations (121 KB pdf)
• 2019 Graduate Dissertations (68.3 KB pdf)

Student Directory

An opt-in listing of current Ph.D. students with information about their interests, research, personal web pages, and contact information:

Doctor of Philosophy in Education Student Directory

Introduce Yourself

Tell us about yourself so that we can tailor our communication to best fit your interests and provide you with relevant information about our programs, events, and other opportunities to connect with us.

Program Highlights

Explore examples of the Doctor of Philosophy in Education experience and the impact its community is making on the field:

Reshaping Teacher Licensure: Lessons from the Pandemic

Olivia Chi, Ed.M.'17, Ph.D.'20, discusses the ongoing efforts to ensure the quality and stability of the teaching workforce

Lost in Translation

New comparative study from Ph.D. candidate Maya Alkateb-Chami finds strong correlation between low literacy outcomes for children and schools teaching in different language from home

CS Phd Manual

Coursework will help you educate yourself in your research area and in CS more broadly. You may enroll in courses as long as you are here, including courses in other departments. Select courses are offered during the summer.

Students should aim to take 8 graduate courses within their first two years.  Students who began the program in the Fall 2022 or later must follow the current Coursework Advising Worksheet , which stipulates that more than half of all courses (at least 5 out of 8) must be taught in the Department of Computer Science.  Of those courses, 4 out of the 5 core distribution areas must be satisfied.  Distribution areas include  Theory, Applications, Systems, Software and Reasoning .  The remaining courses may be faculty advisor-approved electives inside or outside of the Computer Science Department.  When coursework requirements are complete, students must submit the appropriate coursework advising worksheet (signed by their advisor) to the Department’s Academic Program Administrator.

Students who were admitted to the program prior to the fall of 2019 may choose to use the current coursework requirements, or fulfill coursework requirements using the guidelines set forth in the pre-2019 Coursework Advising Worksheet . This included at least 6 core CS courses — 2 each from the Analysis, Applications, and Systems areas, and 2 electives. 

Some students prefer to get this requirement out of the way in the first year. However, 4 graduate courses per semester leaves little time for research and teaching. Your decision will depend on your funding situation, your personal preference, and your advisor’s recommendation.

Every semester your advisor must approve your course registration, and every semester you must register for approximately 15-20 credits of “PhD Research” (601.809-810). This is in addition to any other courses you are taking, and applies to you even if you’ve completed all of your coursework requirements.  The Registrar caps the credit limit at 25 credits each semester. PhD students should register for at least 20-credits every semester, so you’ll want to adjust the variable credit amount for your PhD Research section depending on your full course load.

Every semester, all students must attend a fair number of Computer Science Seminars.  SIS enrollment in the “Computer Science Seminar” (601.801-802) course is required for first and second year students only.

  How do I know if a CS course can be used as one of the 8 graduate courses?

The eligible CS courses are generally those courses numbered xxx.600 and above. The rarely used “Independent Study” (601.805-806) may be taken for graduate credit and a letter grade, under a faculty member’s supervision. Courses do not count unless they are taken for a grade; thus you cannot count pass/fail seminars or the required department seminar series (601.801-802). Also, courses are ordinarily 3 credits; a 1-credit course counts as only 1/3 of a course and three such courses can serve to count for one full course.  *Effective Fall 2017, only courses that are 600-level and above are eligible to be put toward the CS coursework requirements, except for documented and approved exceptions. This is a WSE-wide initiative and will not impact courses taken prior to the Fall 2017 semester.*

How do I know if a non-CS course can be used as one of the 8 graduate courses?

Any graduate course offered by a full-time JHU program is eligible with advisor approval. Your advisor must agree that the course is relevant to your degree — either to computer science generally, or to your specific program of study and research. Graduate level courses in most departments are those numbered 600 and above.

How do I know if a course can be used as one of the 5 core CS distribution areas?

The official designator list is on the CS website. For CS courses, the designations are also given in the course catalog.

Do I have to do well in the courses?

You need at least a C- for a course to count, and your average grade for the 8 courses must be at least B+. What you learn will also help you in your GBO Exam, your research, and your future career. But ultimately, the world will judge you on your research, not your grades.

Can I fulfill any of these requirements using graduate courses taken elsewhere?

Yes, if the courses have not been counted toward an undergraduate degree or taken as an undergraduate in another institution. They must be of comparable rigor and appropriate for the requirements in question, as attested by a syllabus, problem sets, or other course materials. You may apply up to 2 appropriate non-JHU courses toward the course requirements, with advisor approval. If you are willing to forego JHU’s MSE degree (typically because you already earned a master’s elsewhere), then you may apply more than 2 appropriate non-JHU courses toward the Ph.D. requirements, with the approval of the Director of Graduate Studies; this may include up to 4 appropriate courses from JHU’s EP programs.

Responsible Conduct of Research Course

Before you begin your second year , you must take the in-person mini-course AS.360.625 Responsible Conduct of Research. This is under 10 hours and is offered during the summer, fall, intersession, and spring sessions.  Failure to comply with this requirement by the end of the first year of enrollment may result in the inability to conduct research and receive the associated stipend/salary.

Academic Ethics

This mandatory module and quiz is embedded in the WSE online orientation and part of every graduate student’s degree requirements.  You will see the course EN.500.603 added to your SIS enrollment.  Do not drop this course!

Department of Computer Science

• Ph.D. Coursework

The Faculty of the College of Engineering recommends a minimum number of courses for students in the Ph.D. program.  The EECS Department requires that a student, with the approval of their advisor, must choose courses to establish a major subject area, 1 minor subject area, and either two courses for an outside minor or two elective courses (one free and one outside EECS). The minimum number of units to complete the requirement must be at least 24 semester units.  In addition, students will also need to complete  prelim breadth courses .  The courses used in the prelim breadth requirement may be eligible to double count in the major, minor, or electives.

At the discretion of the Vice Chair or Head Graduate Advisor for EECS Graduate Matters, students may receive credit for some units (a maximum of 12 semester units) taken at a comparable institution. Students would need to fill out the Transfer Credit Petition , find a faculty at UC Berkeley to assess the comparison of the courses, then return the form to the staff Graduate Adviser for final review and approval with the Vice Chair. Please note that the approved transfer credits will be used for department purposes and will not appear in the official Berkeley transcript.

Graduate courses used for the Berkeley M.S. degree may be included as part of the Ph.D. coursework. Students may also transfer in coursework taken during their undergraduate career as long as the course was not used towards their undergraduate degree.  These courses must be at least upper division undergraduate or graduate courses.

More details of the Ph.D. coursework can be found in the Graduate Handbook . Students can also view Examples of Previously Approved Courses for EECS students.

There are two issues which students should consider when choosing specific courses for the minor:

• adequate technical content in the minor, and
• adequate breadth provided by the minor, as distinct from the major area.

Students that entered the Ph.D. program in fall 2020 and before, may choose to complete either Plan 1 or Plan 2 for the coursework requirements.

Ph.D. candidates entering in fall 2021 and beyond will be required to follow Plan 2.

Major (all grad (200 level) courses): 12+ units, 3.5+ GPA

Inside Minor (at least 1 grad (200 level) course): 6+ units, 3.0+ GPA

Outside Minor (at least 1 grad (200 level) course): 6+ units, 3.0+ GPA

Minor (at least 1 grad (200 level) course): 6+ units, 3.0+ GPA

Elective courses (at least 100 level): one free elective (any department, any area except for the major) and one outside EECS elective (not in the major and not listed as EECS), 3+ units for each course, 3.0+ GPA

Some things to consider:

• The Minor program must have an orientation different from the major program, and the courses involved should contain concepts not present in the major program.
• The Inside Minor may include one or more classes from outside the EECS department.
• The Inside Minor program must have depth (meaning at least 3 units of graduate course work of the 6 units required).
• The Outside Minor program must consist mainly of courses from outside the EECS Department (at most one course may be cross-listed within EECS).
• The Minors and each of the Elective Courses must have at least a 3.0+ grade point average.
• All courses must be taken for a letter grade (with the exception of courses that may have been taken in spring 2020 due to the Covid-19 accommodations).
• A minimum of 24 semester units must be completed.
• Courses in 298, 299, 301, 375 and 602 units do not count towards the requirement.

These course criteria attempt to constitute a body of knowledge and include courses from several different departments. For example, a student in computer hardware who wishes to have a minor in statistics and stochastic processes could include courses from the Statistics Department, as well as EE 226A.

There are cases where the technical overlap between EECS courses and courses in other departments is so great that a course in another department should be listed as part of the major, rather than as a minor, since they add so little breadth to your program. Examples of this sort of overlap would be Electromagnetics students in EECS taking certain EM courses in Physics or CS Theory students taking some of the theory courses in IEOR. These complications make it essential for students to fill out their Blue Card in the Graduate Office as soon as they have passed the preliminary exam requirement.

• Sample Blue and White Cards

Includes 299 CNs and forms.

• Designated Emphasis

Teaching and Statistics

Ph.D. Student Guide

• Ph.D. Oral Exam
• Ph.D. Breadth Requirement
• Ph.D. Blue Card
• Ph.D. Applications for the Qualifying Exam
• Ph.D. White Card
• Ph.D. Advancement to Candidacy
• Ph.D. Thesis Proposal Defense and Application
• Ph.D. Qual Eligibility
• Qual Deadlines
• Ph.D. Qual Committee
• Ph.D. Qual Format
• Ph.D. Teaching Requirement
• Ph.D. Dissertation Filing Fee
• Giving the Ph.D. Dissertation Talk
• Ph.D. Dissertation Filing Procedure
• Ph.D. Technical Report Submission
• Ph.D. Graduate Division Surveys
• Ph.D. Commencement
• Ph.D. Diploma and Transcript
• Ph.D. Student Review Instructions
• Ph.D. Student Review Forms
• Ph.D. Student Review Frequently Asked Questions

• Youth Program
• Wharton Online

Wharton Stories

What to expect from a phd schedule.

Take a look at a current student’s schedule and get the insider perspective from doctoral students and coordinators on what to expect from a PhD schedule.

The life of a PhD candidate can be stressful as you adjust to a rigorous academic and research schedule. Penn and Wharton offer a variety of resources to help support you in the transition to PhD life.

Wharton’s sense of community offers a level of comfort when reaching out to faculty as well as fellow students to help solve problems. Doctoral students and coordinators give the insider view on what to expect from a PhD schedule.

Class and Research First

The first two years of a PhD program are mainly made up of classes and the beginning stages of research. Deborah Small , the doctoral coordinator for the Marketing program , said, “It starts with heavy duty coursework and a lot of specific requirements. At the end of your first year, there are qualifying exams on all the core marketing courses. Second year they still have a lot of coursework to do, but more of that is elective with a focus more on their interests. During those years they’re expected to get started on research.”

In addition to taking classes and getting started with research, the Marketing program requires students to write two papers. The first research paper is due at the end of the second year, the other is due at the end of the third year.

The Real Estate and Business Economics and Public Policy programs run like the Marketing program. Fernando Ferreira , coordinator for the programs, said, “During the first year they complete six core courses. In the second year, the focus shifts to field courses and to independent research. They have two professors advising them in that year.”

After completing the main courses, students shift to conducting independent research. For REAL and BEPP students this means writing three dissertation chapters during the third and fourth years.

Time for Conferences and Seminars

Because coursework is usually completed by the second half of the program, there’s time for students to attend lectures and seminars. Andrea Contigiani , a fifth year student in the Management program, said, “In my fourth year, I usually attended a seminar around lunchtime. Wharton has an incredible seminar series throughout the year, with a good seminar happening almost everyday. Occasionally, I attended other events, like MBA events or speaker series. I then go back to research for most of the afternoon.”

Prof. Small said, “Students are expected to actively participate in seminars and activities. They’re also encouraged to go to academic conferences and try to present their work at those conferences. It is similar to the expectations of being a faculty member, minus teaching.”

Classes take up the majority of the first two years of the programs. When the focus then switches to research, you’re expected to work independently. Sometimes that can be intimidating. You become your own boss, which is an adjustment from being told what to do and when to do it.

So how do you manage it? Get advice from students and coordinators.

Posted: August 4, 2017

• Work/Life Balance

Doctoral Programs

Matthew caulfield.

Hometown Ocean City, New Jersey

Concentration Management and Legal Studies & Business Ethics

Doctoral Stage Second Year

Typical Day at a Glance

8:30 am Wake up and get ready for the day

9:15 am Get to PhD Offices, respond to emails, check philosophy blogs and read news

10:30 am Journal article readings

11:30 am Meet with advisor

12:00 pm Attend departmental seminar speaker and lunch

1:30 pm Attend Wharton Social Impact Doctoral Community meeting

3:00 pm Attend business ethics seminar

5:00 pm Read for class

7:00 pm Meet with nonparametric statistics study group

8:00 pm Complete homework

12:00 am Go home

1:00 am Bedtime

What is your favorite part about Wharton?

First, the faculty are excellent. They are often leading experts in their fields, and they can offer advice that would be hard to find elsewhere.

Second, the other PhD students are just as passionate about research as you would hope. A huge part of my scholarly development has been due to the discussions I have had with other graduate students.

Third, the Wharton name can offer you serious advantages. In the course of research, I think industry practitioners as well as other academics have been more willing to talk or correspond with me because I am a graduate student at Wharton.

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Ph.D. in Computer Science

Ph.d. program requirements.

The PhD degree requires 72 graduate-level credits, including:

• no 5000-level CS courses
• these credits traditionally cannot be transferred in, you must actually take at least 6 credits of coursework at UVA to get a UVA PhD
• CS 8897 and CS 9897 (Graduate Teaching Instruction) cannot be used to satisfy this 24-credit requirement (but see below)
• at least 12 credits in any combination of CS 8897 and CS 9897 (Graduate Teaching Instruction), corresponding to two semesters as a full-time, 20 hour per week TA (see Chapter 3.2)
• Completion of the Qualifying Examination (see Chapter 5)
• Completion of the PhD Proposal (see Chapter 6.3)
• Completion of the Oral Defense of the written Dissertation (see Chapter 6.4)
• Finally, complete the “ Graduate Student Leave Request ” form (see Section 2.5) to leave the program.

These requirements have significant overlap with the MCS and MS degree requirements; many students choose to earn one of those Master’s degrees as part of their PhD studies.

Application Requirements

Computer science background requirements.

The Department of Computer Science does not require that applicants hold a bachelor's degree in Computer Science. However, applicants are expected to have a strong background in Computer Science. A suitable background would include courses in the following core areas:

• Data Structures
• Discrete Mathematics
• Assembly Language and Computer Organization
• Programming in a procedural language such as C, C#, C++, or Java.

Applicants are also expected to have taken several (but not necessarily all) courses in specialized areas:

• Operating Systems
• Programming Languages
• Artificial Intelligence
• Computer Networks
• Automata and Formal Languages
• Software Engineering

A year of college-level Calculus is also required. In general, experience gained working is not considered equivalent to successful completion of the courses listed above.

Grade Point Average

There is no minimum GPA required for admission. However, most applicants who are offered admission to our program have a GPA of at least 3.3 (out of 4.0). The grades in Computer Science, mathematics and related courses are more important than the overall GPA.

GRE scores are optional. 

Letters of Reference

If possible, letters of references should be written by faculty at a university previously attended. Letters of reference from Computer Science faculty are preferred, but references from employers are welcome. References should pay particular attention to academic achievements and evidence of independent, creative problem solving.

TOEFL/IELTS Scores

• If you are a permanent resident of the U.S., TOEFL is not required
• If you received a 4-year degree at an English-speaking institution (whether or not the institution is in the U.S.), TOEFL/IELTS is not required.
• If you received a 4-year degree at a non -English-speaking institution and a Master's degree from an English-speaking institution, TOEFL/IELTS is required. 
• Note that if you have a solid command of written and spoken English, TOEFL/IELTS waivers are possible! Contact via email,  [email protected] , explaining why you believe TOEFL/IELTS can be waived (include evidence such as verification of duties as a Teaching Assistant that required significant interactions in English, copies of expired TOEFL/IELTS scores, presentations at conferences in English, etc.). 

It is unusual that we offer admission to an applicant with an overall TOEFL score below 90 / IELTS below 6.5. Scores can be sent electronically to UVa at institution code B875. Some students with lower scores may be required to complete the UVA Summer English for Academic Purposes Program prior to admission.

Application Evaluation

Applications are evaluated based on the following factors:

• Background in Computer Science (including project work)
• Grade Point Average (GPA)
• Graduate Record Examination (GRE)
• Letters of reference
• Personal statement
• TOEFL/IELTS scores

Applications are evaluated in their entirety. A weakness in one factor might be mitigated by strength in another.

Financial Aid / Tuition 

Occasionally, the school of Engineering offers Master Fellowships. More information can be found on the Engineering Cost Aid webpage: https://engineering.virginia.edu/future-grads/graduate-admissions/cost-aid , and you can learn more about UVA Fellowships here: https://citizenscholars.virginia.edu/fellowships  

PhD students are usually admitted with a financial aid package in the form of a First-Year Research Assistantship that allows students to explore research with various faculty members and find their best match. It is expected that students will join a research group by the end of their first year and then be supported as a Research Assistant (RA). This financial aid package includes a competitive stipend, tuition, fees, and health insurance coverage. Details of this award are given at the time of your notification of acceptance into the Computer Science PhD program.  

You are encouraged to apply to outside sources for fellowships or you can apply for federal assistance by filling out a Free Application for Federal Student Aid .

The UVA Tuition and Fees page includes the costs per academic year by school. 

CS Admissions Frequently Asked Questions (FAQs)

How do i apply.

Please visit this Web page to apply.

When is the application deadline?

See details in the section above (Admissions).

How much does it cost to apply? Can this fee be waived?

Visit this UVA Engineering FAQ page for details on the cost to apply, and learn if your fee can be waived.

Is the TOEFL/IELTS required?

International students must have an outstanding command of the English language in order to enroll at the University of Virginia. The TOEFL/IELTS exam is required of all applicants if the language first learned and spoken in the home is not English, and they are not permanent residents. However, TOEFL/IELTS is not required if the applicant has received a 4-year degree at an English-speaking institution (whether or not the institution is in the U.S.). (If the applicant has a 4-year degree from a non-English-speaking institution and a Master's degree from an English-speaking institution, TOEFL/IELTS is still required.) It is unusual that we offer admission to an applicant with an overall TOEFL score below 90 / IELTS below 6.5. 

I scored less than 22 on the Speaking section of TOEFL. Can I still apply?

We review all applications thoroughly, along a number of dimensions. It is unusual that we offer admission to an applicant with an overall TOEFL score below 90/ IELTS score of 6.5.

Where do I send my GRE and/or TOEFL/IELTS scores?

The Institution code for School of Engineering and Applied Science of the University of Virginia for the GRE is 5820. The code for TOEFL is  B875. There is not a specific code for the Department of Computer Science.

I'm taking TOEFL/IELTS or GRE after your deadline (Dec 15). If I apply will these scores make it into my application and be seen by the admissions committee?

We will start evaluating applications soon after the Dec 15 deadline. Applicants should submit the most complete application they can, based on the information they have at the time (e.g., current test scores, even if new test scores are anticipated).Those applications that are complete will be considered first. We will continue to evaluate applications into early next year, until we have completed our offers. As we are reviewing applications, we will certainly consider updated scores as the arrive at the University of Virginia. There is no need to email us to tell us that new scores are being sent.

Should I mail or should I upload my materials with my application?

We strongly discourage applicants from mailing in any items that can be uploaded to avoid delays in your application review, and we ask that you not send duplicate copies of previously uploaded documents. If you still need to mail documents to our office, please send them to: For US Postal: Graduate School of Engineering and Applied Science Admissions P.O. Box 401103 Charlottesville, VA 22904 For UPS/FEDEX:      Graduate School of Engineering and Applied Science Admissions      1001 Emmet Street North      Room 209B Carruthers Hall      Charlottesville, VA 22903

I’ve submitted my application and all supporting materials. Why does my application status still show as incomplete?

We will fully review your application with unofficial test scores and unofficial transcripts. Your application will only show as "complete" when your application has been submitted, your official scores and transcripts have been received and all three letters of recommendations have been received. An application is complete for review with unofficial transcripts and self-reported scores, though the checklist will still show incomplete. Please note that all official transcripts are received in our main admissions office and scanned or entered into our system manually. If you feel that your materials should have been received by now, but are NOT showing up when you login to your account, please note that the Graduate Admissions Office processes a very large number of applications and it may take longer than expected for your documents/information to appear online (in your account). It is very likely that your materials have been received, but have not been loaded into our application system yet.

If I email you my information (e.g., GPA, GRE scores, etc.) before I apply, can you tell me the chance of being accepted?

The graduate admissions committee considers many factors in an application, including more than just GPA and test scores. In particular, letters of reference and your personal statement are extremely important. Therefore, we are unfortunately unable to provide any information before the committee considers your full application.

I still have other questions. Is there anyone available to help me?

Yes! For program/degree specific questions, please send an email to [email protected]. For application support and specific questions regarding the application process, please contact: Central Graduate Admissions [email protected] 434-243-0209

The information contained on this website is for informational purposes only.  The Undergraduate Record and Graduate Record represent the official repository for academic program requirements. These publications may be found here .

Doctoral Degrees

A doctoral degree requires the satisfactory completion of an approved program of advanced study and original research of high quality..

Please note that the Doctor of Philosophy (PhD) and Doctor of Science (ScD) degrees are awarded interchangeably by all departments in the School of Engineering and the School of Science, except in the fields of biology, cognitive science, neuroscience, medical engineering, and medical physics. This means that, excepting the departments outlined above, the coursework and expectations to earn a Doctor of Philosophy and for a Doctor of Science degree from these schools are generally the same. Doctoral students may choose which degree they wish to complete.

Applicants interested in graduate education should apply to the department or graduate program conducting research in the area of interest. Some departments require a doctoral candidate to take a “minor” program outside of the student’s principal field of study; if you wish to apply to one of these departments, please consider additional fields you may like to pursue.

Below is a list of programs and departments that offer doctoral-level degrees.

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Doctor of Philosophy

A Doctor of Philosophy (PhD) is an internationally recognised graduate research program that will enable you to become an independent researcher. 

With the guidance of an advisory team, you'll undertake a research project, produce an 80,000-word thesis and complete an oral examination.

A PhD takes 3 to 4 years full-time. Under guidance, you'll develop advanced research skills and knowledge in your chosen field.

The thesis is a substantial document that makes an original contribution to your field of research. Your thesis may involve an alternate format .

You'll need a strong academic background and you may need to submit a research proposal and other documents to support your application. About 1,000 PhD candidates join UQ each year researching a wide range of topics.

Research at UQ

UQ is one of Australia’s top research-intensive universities. Our research makes an impact on the world's cultural, environmental, economic and social challenges.

Learn more about UQ's research

Program highlights

• Be inspired and challenged to explore new ideas and develop greater understanding of complex questions with leading researchers.
• Access premier resources including one of Australia’s largest libraries, with more than 2 million physical resources and 116,800+ journal subscriptions.
• Foster and improve your skills through the Career Development Framework, created with industry.
• Learn from researchers whose work addresses national and global cultural, environmental, economic and social challenges.

35 in the world

CWTS Leiden Ranking 2023

51 in the world

Academic Ranking of World Universities 2023

Supervision

You have to find and contact a thesis supervisor before you apply

This supervisor will support, guide and mentor you through your research, and can introduce you to professional networks that will start your career.

Find a supervisor

3-Minute Thesis

The showcase event for research candidates is the 3-Minute Thesis (3MT). 

3MT is held each spring.

Learn more about the 3MT

Career development

UQ offers a range of development opportunities via the Career Development Framework (CDF) to help you develop portable skills for any career or industry.

Learn more about the CDF

Studying at UQ gave me the flexibility to expand my knowledge across different areas of science outside of my chosen specialty. Keeping my scientific and translational skills broad has allowed me to adapt to different environments and opportunities throughout my career.

30 April - 1 May

Medicine Information Evening

1 May - 22 May

UQ's Sustainable Energy programs, Q&A webinars

MBA Information Event

Meet the expert: preparing for the future of pharmacy with Dr Nazanin Ghahreman-Falconer

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Dual degrees with a Bachelor of Arts

Meet the expert: exploring nutrition education with Dr Olivia Wright

Entry requirements, gpa equivalent.

Select where you studied and your qualification to see the GPA you need to be considered for this program.

Meeting the GPA requirement doesn’t guarantee admission.

Academic entry requirements

You have to prove you are prepared for PhD study. You do this by showing you:

• have completed some research experience
• have completed an approved university degree  and
• can meet the English language requirements.

Approved degrees

An approved degree needs to be:

• in an area relevant to your proposed PhD project and
• completed no more than 10 years ago.

You need one of the following approved degrees to apply for a PhD:

• Master of Philosophy (or another research master’s degree); or
• Bachelor’s degree from an approved university with at least honours class IIA or equivalent; or
• Coursework master’s degree with an overall grade point average of 5.65 on the 7-point UQ scale which includes relevant research experience, approved by the dean; or
• Postgraduate degree (at least one year full-time or equivalent) with an overall grade point average of 5 on the 7-point UQ scale, together with demonstrated research experience equivalent to honours class IIA will be considered on a case-by-case basis; or
• Bachelor’s degree plus at least 2 years of relevant research experience , including research publications.

Research experience

You'll meet the requirements for admission into a PhD in terms of 'research preparedness' if you can provide evidence that you've planned and executed project work and/or a body of research with some independence.

To demonstrate this, we'll ask you to provide one of the following:

• with completed courses that aim to develop research skills (minimum value of #1 unit e.g. 50 per cent of a #2 unit course), and/or
• the completion of a supervised research project that includes an individually graded written report with a combined minimum course volume equal to #4 units at UQ.
• Scholarly papers involving a substantial contribution as an author, appearing in recognised academic journals or in volumes published by recognised academic publishers.
• Research or technical reports prepared for industry, government or business, which adhere to the broad conventions of academic publishing (i.e. contain an up-to-date review of relevant literature, a description of relevant research methods and an evaluation of results, etc.) and which identify you as a significant contributor.
• A portfolio of published creative work together with published critical discussion of some or all of that work, or of a comparable body of work by others, and which demonstrates your development of a scholarly approach to creative work as research investigation.
• Demonstrable industry or work experience where you can demonstrate that you have planned and executed a project, working with a high level of independence.

Student visas

International students who are accepted into full-time study in the Doctor of Philosophy are eligible to apply for an Australian Student visa (subclass 500).

This program has two CRICOS codes:

• 0100213 – Architecture, creative arts, education, health, information technology, management and commerce, mathematical sciences, social and cultural studies
• 0100214 – Agriculture and environmental studies, dentistry, engineering, human movement, medical studies, natural and physical sciences, pharmacy, psychology, veterinary science

Discuss your proposed project with us to determine which CRICOS code is most relevant for your visa application.

There are a number of requirements you must satisfy before a visa is granted, including the genuine temporary entrant (GTE) requirement.

Learn more about student visas

Additional entry requirements

Many departments will have additional entry requirements and may request documents to support your application, such as a research proposal. You should discuss these additional requirements with your potential thesis supervisor.

Additional application information

Minimum English language proficiency requirements apply, please refer to the English proficiency policy .

English language requirements

There are a few ways you can meet our English language requirements. If you sit a test, the following scores are needed for PhD admission:

Read our English language requirements

Scholarships

There are several types of PhD scholarship:

• tuition fee scholarship : this covers the fees charged by UQ for PhD study
• living stipend scholarship: this is a   fortnightly payment (or stipend) to support your daily expenses
• top-up scholarship: may be provided by external organisations, supervisors, or philanthropic donations. When awarded, they provide an additional payment on top of a living stipend scholarship. They cannot be held without a living stipend scholarship.

Each year, we award more than 600 scholarships to attract and support the highest quality higher degree by research applicants.

View all postgraduate research scholarships

University scholarships

UQ scholarships include:

• Graduate School Scholarships
• Graduate School Tuition Fees Scholarship
• Aboriginal and Torres Strait Islander Scholarships
• Earmarked Scholarships
• The Graduate School Scholarship

Other scholarships

Throughout the year we advertise a range of other research scholarships, including top-up scholarships, travel grants and external scholarships, including:

• Westpac Future Leaders Scholarship

How to apply for a scholarship

You can apply for many scholarships using the same form as your PhD application. External scholarships might have different ways to apply. 

Our Scholarships website explains how to apply for each scholarship. If you are applying for a non-UQ scholarship, outcome dates may vary.

Fees and costs

Tuition fees.

Your fees will vary according to your academic field, study load and whether you study internally or remotely.

Learn more about postgraduate research fees

Research costs

The department you enrol with will meet all necessary costs for your project, including:

• resource and facility costs: at UQ, which may include other organisations in Australia or overseas
• travel costs: to complete fieldwork, collect data, or to visit libraries or other repositories
• coursework costs: for courses studied outside the department
• relevant training: in particular methodologies or techniques.

How to apply

Before you apply, 1. check your eligibility.

Check your eligibility by reviewing the entry requirements for UQ's Higher Degrees by Research. If applying for a scholarship, check the scholarship's eligibility and important dates.

2. Approach a potential supervisor or find a project

You'll either need to find:

• a supervisor in your field who will support your proposed project.  Identify a researcher .
• a project you can join that suits your interests.  See available projects .

If you're choosing a researcher, you'll need to find one with relevant expertise and get agreement to support your PhD and project.

Many departments will require additional information to make a decision around your motivation, understanding, commitment, and financial support required.

They may request documents to support your application, such as a research proposal. You should discuss these additional requirements with your potential thesis supervisor.

3. Gather your documents

You will need to compile the necessary documents. We will accept scanned copies of original documents, but you will have to keep all original documents for the duration of your studies.

Upload all documents as PDFs and name your files like this: LASTNAME_firstname_document-name.pdf

If any of your documents is in a language other than English, you will need to send both the original document and an official translation.

Send the following documents with your application:

An academic CV assists us to determine your readiness to commence a higher degree by research. For the purposes of this application, your academic CV should be current (i.e. no more than 6 months old) and include information under the following headings:

Personal details

• your full name
• your contact details (phone number, email address, city and country of residence)
• nationality
• languages spoken and proficiency level for each
• your ORCID ID or other research output identifier (such as Google Scholar) if you have one (see the ORCID ID and research identifiers information provided by UQ Library).

As the purpose of this academic CV is to determine your academic suitability for a higher degree by research program at UQ and your competitiveness against other applicants, we only require information that is of direct relevance to our decision-making processes. With this in mind, please do not include the following in your academic CV:

• photographs/head shot
• marital status
• driver’s license
• date of birth/age
• hobbies and interests.

Educational qualifications and academic awards

List each of your formal educational qualifications in reverse chronological order (i.e. with the most recent formal educational qualification listed first). For each qualification, include:

• the commencing and end dates (month and year) for the qualification
• the full title of the qualification (e.g. Bachelor of Arts instead of B.A.)
• the institution attended and the enrolling school/administrative unit
• the city and country where the institution is located
• your Grade Point Average (GPA) for the overall qualification
• any academic achievement awards (e.g. Dean’s awards, subject prizes, University medals, thesis prizes etc.) received for the qualification
• if a research thesis was part of the qualification, include the title and word length of your dissertation.

As part of your application, please submit academic transcripts and degree certificates for each educational qualification you list.

Please do not include:

• high school qualifications
• the individual subjects/courses undertaken throughout your qualifications or the grades awarded for these
• training courses/professional development activities not resulting in a formal qualification.

Professional affiliations and memberships

List any professional/disciplinary associations or committees that you a member of and include:

• the commencing and end date (in years) for the affiliation/membership
• the name of the professional association or committee
• your membership type (e.g. student member, affiliate member, full member etc.) or role (e.g. committee member, secretary, president etc.).

Employment history

List each of your previous employment roles in reverse chronological order (i.e. with the most recent/current employment listed first) and include:

• the commencing and end dates (month and year) for the employment
• the title of each position
• the name of the employing organisation, the city, and country where you were based
• your main duties or accountabilities in that role, providing detailed information on any research-related activities
• any achievements during that role that are relevant to your proposed field of research .

Other research experience

List any voluntary, unpaid, or extra-curricular research-related projects or experiences you have undertaken (e.g. summer research projects, internships etc.) and include:

• the commencing and end dates (month and year) of the experience
• the name of the organisation, the city, and country where you were based

Research outputs

In reverse chronological order (i.e. the most recent output first) list your research outputs,  including for example research published or accepted for publication, research reports, and research by creative practice.

If needed, use sub-headings to separate refereed journal articles, published conference proceedings, edited book chapters, books, creative works, industry reports, invited papers, patents, media commentary, conference presentations and posters, invited talks etc. If applicable, use additional sub-headings to indicate if outputs are published , accepted for publication (but not yet in print), or (submitted but) under review .

Do not include any outputs/publications that are ‘in preparation’ .

For all research outputs, include:

• the output/publication reference using an official bibliographical style (such as Turabian/Chicago, APA, Harvard), including listing all authors in the order that they appear in the work with your name in bold
• the Digital Object Identifier (DOI), PubMed Identifier (PMID), International Standard Book Number (ISBN) or URL where applicable
• the standing of the journal or conference and the impact of the work (e.g. impact factors, citations and other metrics indicators)
• relevant indicators of national or international significance
• rejection rates for the outlet etc.
• how much of the original research you were responsible for (i.e. what was your role in the conception and design of the project and how involved were you in the analysis and interpretation of the research data on which the publication is based?)
• the extent to which you authored the paper.

Research grants and relevant awards

Include only those research grants and relevant awards that you have received at the time of making your application (i.e. do not list grants or awards that you applied for and did not receive or are awaiting a decision on). For each research grant/award, include:

• the name of the granting/awarding body and the country in which they are based
• the name of the grant/award
• the year(s) in which the grant was active or the year in which the award was made
• the amount of the research grant/award
• if relevant (e.g. for research grants), the title of your application.

Applicants from creative and professional-based disciplines may also include non-research grants and awards related to their creative or professional practice.

Research achievements relative to opportunity (optional)

In recognition of the diverse personal and professional pathways that applicants have experienced, you are invited to provide information ( maximum 200 words ) to contextualise your research outputs and achievements, relative to the opportunities that you have had to participate in research-related activities.

This section of the CV is optional and should only be included if you believe there are factors relevant to your research achievements that you would like the selection panels to know. Examples of factors include (but are not limited to):

• study/career disruptions due to illness, caregiving, natural disasters etc.
• non-linear academic or career progression, or a change in career direction
• reduced ability to take up research-related opportunities (e.g. attend conferences) due to caregiving responsibilities.

Academic referees

Please provide us with two referees who can comment on your academic work. For each referee, include their:

• honorific and name
• employing organisation and the city and country where they are located
• contact details, including office address, telephone, fax and email (preferably an institutional, rather than private, email address)
• an indication of the capacity in which you know this person (e.g. were they a lecturer or thesis supervisor, an employer, how long you’ve known them etc.). 

If possible, please include at least one:

• senior person (preferably your supervisor or the head of your organisational unit) closely associated with your current work, and
• person who is not a member of your proposed advisory panel/supervisory team.

Formatting and document specifications

We recommend that you use the below formatting settings to improve the readability of your CV:

• margins of at least 1.5 centimetres
• single line spacing
• no smaller than 12 point Times New Roman font (or equivalent)
• left justify text (not full justify)
• include your name and page number on each page
• be consistent in your formatting and spelling throughout
• limit the use of bold, underline, italics, and multiple font types.

Please proofread your CV carefully before uploading it to your application.

Save as a PDF and name your file: LASTNAME_firstname_CV.pdf

There is no page limit to your academic CV – it can be as long as required to include the information requested here.

Please include in your CV all the headings listed above – if you do not have any content to add for a particular heading please list ‘None to date’ under that heading .

An academic CV for employment purposes within Australia would not include the information requested here outlining your three most significant publications or your research achievements relative to opportunity. It would, however, include information about professional and service activities undertaken and may include a summary of your relevant research/teaching interest areas and skill sets – this information is not required in the CV you submit here for application to an HDR program.

This should show all study you have undertaken since secondary school, whether complete or incomplete, including the institution grading scale. The grading scale is often found on the final page or the reverse page; be sure to include all pages.

An academic transcript can also be called an:

• academic record
• diploma supplement
• statement of learning
• record of achievement.

A degree certificate is a legal document, imprinted with a university seal. It should state the name of your qualification and areas of study.

Include all degree certificates (testamurs) for post-secondary study with your application. If you studied in China, you must provide a:

• award certificate and
• graduate statement/certificate.

All applicants have to prove they can meet English language requirements . Any test scores have to be valid at your proposed commencement date.

Include a copy of the information page (with your photo) in your passport. This will verify your identity and ensure we can make offers correctly.

Include the contact details of two referees who will support your application. These referees will need to provide insight into your research experience.

We will contact your referees for a report, but you will need to enter their details into the application form.

Other documentation, originals or certified copies, may be required depending on your individual circumstances, for example:

• evidence of change of name
• proof of citizenship, if you are not a citizen of Australia or New Zealand by birth
• evidence of your Aboriginal and/or Torres Strait Islander status
• previous research program information .

If you don't provide us with all documents it will take us longer to process your application. Your start date might then be delayed, or you might miss an admission or scholarship deadline. 

4. Apply online

Once you have prepared your application and contacted a potential supervisor, use the online application form to apply. Your application can only be assessed once your referees have responded to us, and all outstanding documents and school/institute endorsements have been received.

Important dates

The academic year for research students is divided into four research quarters (RQ).

Candidates applying for a Student Visa or UQ scholarship may need to apply earlier. Make sure you check  scholarship round application deadlines  and outcome dates before applying.

The agreed start date will be included on your Confirmation of Enrolment.

Find out more about research quarter dates

The academic year for research students is divided into four research quarters (RQ). You can start a PhD in any quarter, as long as the Census Date hasn't passed.

Candidates applying for a UQ scholarship may need to apply earlier. Make sure you check scholarship round application deadlines and outcome dates before applying.

The agreed start date will be included on your offer of admission.

Aboriginal and Torres Strait Islander applicants

For support with applying – or if you have any questions about university life – get in touch with our Aboriginal and Torres Strait Islander Studies Unit.

Contact the ATSIS Unit

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15 Best Online Doctoral Programs/PhD Programs – 2024

April 24, 2024

If you’re looking to attain a terminal degree but want to skip the commute to campus, an online doctoral program might be a great option for you. As our world becomes increasingly digital, many top universities have branched out into online learning, offering online PhD and doctoral programs that are just as rigorous as their in-person counterparts. Online graduate education can offer aspiring doctoral students flexibility, a high-quality education, and the option to continue working while pursuing a degree.

Many of the universities below in our round-up of the best online doctoral programs offer degrees in education—a common track for teachers looking to advance their careers. But universities across the country offer a wide range of degrees in everything from engineering management to library science. Read on for everything you need to know as you consider applying.

The Best Online Doctoral Programs – How Long Does It Take to Get a Doctoral Degree Online?

Online doctoral programs are often designed with full-time professionals in mind, prioritizing flexibility so that you can complete your degree at your own pace. Program lengths will vary, but most will take four to seven years. For students who need to take things slower, many programs offer options to spread degree requirements out over time. When applying, here are a few good questions to ask your admissions officer:

• How long do most graduate students take to complete their degrees?
• Are there flexible options for how many courses you’ll take per term?
• Will you pay tuition per semester or per credit hour? If paying by credit hour, will you able to choose how many classes you take each semester?
• Will you be required to write a dissertation? If so, how long do students usually take to write them?

The Best Online Doctoral Programs – Is an Online PhD Program a Good Fit for Me?

There’s no denying it: online doctoral programs are different than traditional ones. Many traditional PhD programs are designed for future academics, aka for graduate students who intend to apply for jobs as university professors after graduation. Traditional PhD programs are full-time, research-focused, in-person, and often offer graduate students funding in exchange for teaching or research assistant responsibilities. Online doctoral programs do also involve research, but most online graduate students are not full-time students. Rather, many students enrolled in online doctoral programs are working professionals who attend classes in the evenings or asynchronously. With that in mind, an online program can be a fantastic opportunity to further your current career.

An online doctorate program could be a great fit for you if:

• You want to advance your career. A doctorate can lead to further opportunities for promotion and certain fields offer automatic pay increases for people with advanced degrees.
• You love research and want to develop expertise in a topic that fascinates you.
• You learn well in online settings, including asynchronous classes.
• You plan to continue working while you study.

Online doctoral programs typically do not offer their students funding, though there may be scholarships and grants available to you.

The Best Online Doctoral Programs – What to Consider When Choosing an Online Doctorate Program

Since a doctorate can take 4-7 years or more to complete, choosing the right school for you is a huge decision. Our list below dives into many details you’ll need to know like acceptance rate, retention rate, and cost of tuition. It’s important to consider big-picture factors such as:

• Time to complete degree
• Professors and mentors—you’ll want to make sure you can study with faculty who have expertise in your academic interests
• Flexibility—does the program fit with your schedule? Do they require any in-person meetings?
• Graduation rate—ask your admissions officer for the most recent figures

You’ll also want to consider whether you want to pursue a PhD or a doctorate degree. If you’re pursuing a PhD, you can expect to focus more significantly on academic research and you’ll need to complete a dissertation. A doctorate is an equivalent degree that is less focused on academic research and may not require a dissertation. Doctorates can often involve more career development or hands-on practicum experience.

The Best Online Doctoral Programs – Are Online PhDs Respected?

Yes, online doctoral programs are just as rigorous and respected as their in-person counterparts. If you hope to earn a tenure-track faculty position at a university, it’s likely a traditional PhD program will be a better route. However, if you’re seeking a doctorate for career advancement and further learning, an online doctoral program can be a great fit. Many of the most prestigious universities offer online programs, and your diploma will likely not specify whether you completed an online or traditional degree.

The Best Online Doctoral Programs – What Do I Need to Apply?

Application requirements will vary depending on the program you’re applying to. All programs will require your academic transcripts, many require letters of recommendation, and some require GRE scores. On top of that, some programs will require a personal statement or writing portfolio. Contrary to what you might think, Master’s degrees are not always required for admission to online doctoral programs.

The Best Online Doctoral Programs/PhD Programs

1) university of florida.

Located in Gainesville, the University of Florida offers 10 different online doctoral programs . Well known for its graduate programs in education, educators can pursue PhDs in educational leadership, special education, computer science education, among other options. UF also offers online programs in nursing, Latin and Roman studies, microbiology, and a few other fields. Established in 1853, UF is a flagship state university with a strong reputation.

• Graduation Rate: 89%
• Acceptance Rate: 31%
• In State Tuition: $6,380
• Out of State Tuition: $28,658
• Application Requirements: Application portfolio (sample essays or projects), GRE scores, minimum undergraduate GPA of 3.4 or graduate GPA of 3.5, letters of recommendation

2) George Washington University

George Washington University ’s Department of Engineering Management and Systems Engineering leads the way with the university’s most comprehensive online PhD offerings . Through them, students can pursue doctoral degrees in cybersecurity analytics, engineering in artificial intelligence, systems engineering, or engineering management. Educators can also pursue well-respected degrees in education leadership and human and organizational learning.

• Graduation Rate: 85%
• Acceptance Rate: 43%
• Tuition: $31,770
• Application Requirements: GRE scores, personal statement, letters of recommendation, academic records

3) Johns Hopkins University

• A ten-year-old program , Johns Hopkins ’ online PhD in education allows students to specialize in digital age learning, entrepreneurial leadership, urban leadership, and other topics. Note their high graduation rate: Johns Hopkins is a competitive program , but admitted students are well-supported on their path to graduation.
• Graduation Rate: 94%
• Acceptance Rate: 11%
• Tuition: $57,010
• Application Requirements: Master’s degree, minimum GPA of 3.0

Best Online Doctoral Programs/PhD Programs (Continued)

4) texas tech university.

Texas Tech University offers a wide range of online and hybrid PhD programs that provide their students flexibility as they work toward completing their terminal degree. An affordable university in Lubbock, Texas Tech is a great place for future doctors of education, consumer science, technical communication, engineering management, and financial planning.

• Graduation Rate: 63%
• Acceptance Rate: 70%
• In State Tuition: $6,788
• Out of State Tuition: $14,968
• Application Requirements: Academic transcripts, portfolio and personal statement varies by program

5) Iowa State University

Although Iowa State University ’s online doctorate programs require some in-person meetings, ISU may still be a good fit for online students. With more uncommon online doctoral programs in hospitality management and apparel, merchandising, and design, ISU offers flexible routes to completing your dissertation.

• Graduation Rate: 75%
• Acceptance Rate: 88%
• In State Tuition: $9,758
• Out of State Tuition: $24,720
• Application Requirements: Academic records, minimum 3.0 GPA

6) University of Alabama

Online University of Alabama students may miss out on a lively campus culture and football games, but they can still take advantage of UA’s top-notch academics. Well-known for its online education graduate programs, UA also offers programs in social work, communication and information sciences, and engineering.

• Graduation Rate: 72%
• Acceptance Rate: 80%
• In State Tuition: $11,940
• Out of State Tuition: $32,300
• Application Requirements: GRE scores, academic records

7) University of Missouri

One of the most robust in terms of online offerings, the University of Missouri ’s online PhD classes are taught by the same professors who teach Mizzou’s in-person classes. Mizzou offers programs in education and nursing. They also allow students to pursue doctorates in harder-to-find subjects like health sciences, agriculture, architecture, and library science.

• Graduation Rate: 73%
• Acceptance Rate: 82%
• In State Tuition: $9,478
• Out of State Tuition: $25,946
• Application Requirements: Academic record, minimum GPA of 3.0, portfolio and personal statement varies by program

8) University of North Carolina Chapel Hill

One of the oldest public universities in the U.S., University of North Carolina – Chapel Hill is known as a leader in education. UNC Chapel Hill offers just three online PhDs: public health, nursing, and education. Although some online classes require in-person or proctored final exams, doctoral requirements can mostly be completed online.

• Graduation Rate: 91%
• Acceptance Rate: 25%
• In State Tuition: $9,208
• Out of State Tuition:  $36,891
• Application Requirements: GRE scores, academic records, letters of recommendation, personal statement

9) Georgia Southern University

Located in Savannah, Georgia Southern University works hard to create an environment of support and collaboration, even online. One of the more robust programs out there, GSU offers respected online programs in public health, nursing, education, and engineering.

• Graduation Rate: 54%
• Acceptance Rate: 91%
• In State Tuition: $4,986
• Out of State Tuition: $19,890
• Application Requirements: Minimum GPA of 3.0

10) Indiana University

Indiana University allows students to study at their own pace through flexible online doctoral programs. One of the only schools to offer online programs in music therapy and philanthropy leadership, IU also allows students to pursue tracks in health sciences, education, and computing and technology. Most classes are asynchronous and students can take courses through any IU campus.

• Graduation Rate: 41%
• Acceptance Rate: 92%
• In State Tuition: $9732
• Out of State Tuition: $21,160
• Application Requirements: GRE scores, academic record

11) Mississippi State University

A solid option for future doctors of philosophy, Mississippi State University is a research-focused and inclusive university. An especially strong option for those looking to study engineering or computer science, MSU offers 9 different majors within those fields.  MSU also offers tracks in plant science and education leadership.

• Graduation Rate: 64%
• In State Tuition: $9,398
• Out of State Tuition: $25,444
• Application Requirements: Academic record, letters of recommendation, personal statement

12) Appalachian State University

Although Appalachian State University is known for its beautiful setting in Boone, North Carolina, App State still has much to offer online students. This school offers only one part-time PhD program in education leadership , but its affordability compared to other programs makes this school stand out.

• In State Tuition: $4,839
• Out of State Tuition: $18,271
• Application Requirements: Academic record, GRE scores or 3.0 minimum GPA, Master’s degree

13) Purdue University

An online doctoral program that maintains a high standard of excellence, Purdue is a great place for future doctors of technology, educational leadership and policy, and higher education. Purdue graduate students can expect to co-author papers with faculty and gain hands-on experience in research.

• Graduation Rate: 38%
• Acceptance Rate: 30%
• Tuition: $420 per credit

14) Concordia University Chicago

Concordia University ’s online doctoral programs allow students to complete their degree in three to five years. Through their shortened term system, students take 8-week classes and then write their dissertation in their final three semesters. A leader in online doctoral programs, Concordia offers paths in strategic innovation, healthcare management, education leadership, and organizational leadership.

• Tuition: $9,090
• Application Requirements: Academic record, Master’s degree with minimum 3.0 GPA, letters of recommendation, portfolio and personal statement varies by program

15) Clemson University

A public school in South Carolina, Clemson aims to prepare online doctoral students for diverse career paths. Proudly offering programs that are difficult to find elsewhere, Clemson graduate students can study healthcare genetics and parks, recreation, and tourism management. Education professionals can complete degrees in education systems, learning science, and teaching, literacy, language, and culture.

• Graduation Rate: 84%
• Acceptance Rate: 49%
• In State Tuition: $10,600
• Out of State Tuition: $22,050
• Application Requirements: Academic record, letters of recommendation, portfolio and personal statement vary by program

The Best Online Doctoral Programs – Additional Resources

Looking to learn more about graduate school admissions? We’ve got you covered.

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Christina Wood

Christina Wood holds a BA in Literature & Writing from UC San Diego, an MFA in Creative Writing from Washington University in St. Louis, and is currently a Doctoral Candidate in English at the University of Georgia, where she teaches creative writing and first-year composition courses. Christina has published fiction and nonfiction in numerous publications, including The Paris Review , McSweeney’s , Granta , Virginia Quarterly Review , The Sewanee Review , Mississippi Review , and Puerto del Sol , among others. Her story “The Astronaut” won the 2018 Shirley Jackson Award for short fiction and received a “Distinguished Stories” mention in the 2019 Best American Short Stories anthology.

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Postgraduate research degrees

Our research is driven by the big picture. The University of Sydney is home to leading researchers who are finding solutions to the world's most pressing issues by changing the way they look at them. 

We are home to 90 world‑renowned multidisciplinary research and teaching centres that tackle some of the world’s biggest challenges, such as health, climate change and food security. These centres include the Charles Perkins Centre, the Brain and Mind Centre ,  The University of Sydney Nano Institute , the Sydney Policy Lab , the Sydney Environment Institute , and the Sydney Southeast Asia Centre .

Our interdisciplinary approach means that students are part of a community of scholars that unites experts in fields as diverse as medicine, arts, social sciences, engineering, information technologies and science. 

As a researcher at Sydney, you'll work alongside some of the world's brightest and most accomplished academics. You can access high-calibre facilities and unique international partnerships with top-ranked institutions, including Stanford, UCLA, the University of Edinburgh, Utrecht University, Shanghai Jiao Tong University, and the University of Hong Kong.

Types of research degrees

Master's degree by research.

A master's degree by research at Sydney:

• is the second-highest qualification on the Australian Qualifications Framework
• can be a gateway to study at a PhD level
• is usually one to two years full-time or two to four years part-time*
• is awarded based on a supervised thesis, which makes a substantial contribution to the knowledge of the subject concerned.

*Part-time is not available to international student visa holders.

Doctor of Philosophy (PhD)

A PhD at Sydney:

• is our premier research award and the highest qualification on the Australian Qualifications Framework
• comprises of independent research and writing on an approved topic toward a thesis for examination
• may be undertaken in all faculties and divisions, or across disciplines
• is usually 3.5 years of full-time or seven years of part-time* study.

If you’re interested in a Joint PhD program, you need to follow the Doctor of Philosophy (PhD) application steps 1-3. In addition, your proposed supervisor will need to complete a proposal to negotiate a student agreement form. If accepted, you will also be required to sign an individual student agreement. After your student agreement is finalised, you will then be sent an application form for the Joint PhD program.

Please refer to the University's Dual and Joint Degree Policy for full policy details.

Download our  Joint PhD programs factsheet (pdf, 116KB)  to learn more.

Professional doctorate

A professional doctorate at Sydney:

• allows candidates to pursue rigorous scholarship alongside advancing their practice in many fields
• is usually three to four years of full-time or six to eight years of part-time* study.

Internship opportunities

Grow professionally and academically through a paid 3-6 month internship with an industry partner as you complete your degree.

The University of Sydney has partnered with  Australian Postgraduate Research Intern (APR.Intern)  to provide domestic and international HDR students with internship opportunities  in a range of sectors and disciplines.

A paid internship will allow you to:

• Develop competencies that will contribute to your research
• Gain industry experience, develop skills and build networks
• Enhance your employability
• Earn additional income

HDR coursework 

HDR coursework is mandatory for some of our research degrees. HDR coursework adds to your researcher toolkit so you can graduate with a robust set of skills, for a career in academia or industry.

Your faculty may elect to define certain units of study as mandatory for a given degree, or define any other studies as required by the progress evaluation panel of the research project. Refer to the relevant course in the  handbook .  

Frequently asked questions

Getting started, do i need prior research experience.

Yes, all HDR courses require prior research experience. This is because HDR courses are largely self-driven, requiring pre-requisite research, time and project management skills.

If I have no prior research experience how can I get started?

If you do not have any previous research experience, there are ways to gain what you need. Both the one-year honours and masters by coursework degrees containing substantial research components are great pathways into research. These courses will allow you to gain the research skills necessary to apply for the PhD.

What is the difference between a Master of Philosophy/Research and a PhD?

The PhD is our premier research award and the highest qualification on the Australian Qualifications Framework. The PhD is usually three years full-time or six years part-time.

The Master of Philosophy/Research is usually one to two years full-time or four years part-time (part-time is available to domestic students only). A PhD thesis is generally around 80,000 words while a master’s thesis is 50,000 words.

How do I find a supervisor?

To browse through the profiles of our researchers and learn about their current and past research, please refer to Find a Researcher . Here, you will also be able to access the publications lists and contact details of our researchers. 

My research idea crosses two disciplines – is this a problem?

No. Interdisciplinary research is highly regarded in the world of academia and working across disciplines can be very beneficial in developing and demonstrating different analytical skills. Working on research from two perspectives can also offer insight that you would not be able to achieve from one discipline perspective.

What are the English language requirements for a PhD?

Please check your  course page  for the requirements of each course. Generally, the English requirements are between 6.0 to 7.0 IELTS overall or equivalent in other accepted English proficiency tests.

How much do HDR courses cost?

There are no course fees for domestic students – fees are covered by the government Research Training Program (RTP) fee offset. However, fees apply to international students. Please refer to the  course page  for fee details.

What scholarships are available?

We have one of the largest research schemes in Australia. Opportunities include the Australian government-funded Research Training Program (RTP) stipend scholarships, and the University of Sydney and faculty-specific awards. Explore your options .

Degree progression

Do i have to undertake hdr coursework.

It depends on your degree. Your faculty may define certain units of study as mandatory for a given degree. Where this is not the case, you may still have the opportunity to complete units of study that you find useful to support your learning and research. 

Can I transfer from the Master of Philosophy into a PhD?

It is possible for students to move to the PhD after the first year of study, if you have made satisfactory progress and if the transfer is approved by your Faculty. It is important to inform your supervisor of your plans early so that you can work on a timeline together to achieve this goal.

Support during your studies

Am i able to work while studying my hdr course full-time.

Yes, you can work during your PhD. How many hours you take on is at your own discretion, and you must ensure that you still allow time for the completion of your research. International HDR students can generally work more hours than coursework students. Please check your individual visa for specific restrictions.

Will the university employ me during my PhD?

There are sometimes opportunities for PhD candidates to engage in paid employment at the University, but this is not guaranteed and is dependent on the Faculty/Department. If opportunities do arise, they may be in the form of teaching, marking, acting as a research assistant, or other roles.

What support services are available to research students?

There is extensive support for research students at Sydney, including 100+ multidisciplinary research and teaching centres.

Other services:

• Library workshops for research skills
• Academic Liasion Librarians
• Research Support Officers
• Careers Centre
• Sydney University Postgraduate Representative Association (SUPRA)
• Learning Hub

How to apply

Find a supervisor.

Search by keyword, location, topic or supervisor name

• 1800 SYD UNI ( 1800 793 864 )
• or +61 2 8627 1444

Student Centre, Level 3 Jane Foss Russell Building, Darlington Campus

Opening hours: 9am to 5pm, Monday to Friday

Prospective students

Facts & figures

Research at Sydney

• Top 20 Ranked one of the world's top universities*
• 100% of our research is ranked at world standard and above by the Australian Research Council
• 100+ multidisciplinary research and teaching centres
• * QS World University Rankings 2024

Research scholarships

Find the right scholarship for you

How to write a research proposal

A guide to preparing a strong research proposal

6 ways to finance your postgraduate study

Find out how to reduce the cost of your tuition fees

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The registrations for spring term have been closed. Registrations for Academic session 2018-19 will start in the month of March 2018. Click here to enquire

LPUNEST Applications for Ph.D. (Spring Term) are closed. Applications for the next term will be updated shortly. For any kind of query please call 01824-404404 or Click here

LPUNEST Applications for Ph.D. (Spring term) will be updated shortly. For any kind of query please call 01824-404404 or Click here

COURSE WORK

• a) Course work is mandatory for all the students admitted in Ph.D. Programme.
• b) The course work will have a minimum of 14 credits.
• c) All candidates admitted to the Ph.D. programme will be required to complete the course work prescribed by the university during the initial one or two semesters.
• Course I: Research and Publication Ethics
• Course II: Research Methodology
• Course III: Academic Writing and Presentation Skills
• Course IV: Research Seminar
• e) Minimum 75% Aggregate attendance is mandatory in the course work.
• f) The evaluation parameters will be similar to that of regular programmes of the university.
• g) The minimum passing marks required in course work of Ph.D. programme is 55% aggregate in the individual courses with at-least 40% in final end term examination (Applicable in Course I, Course II and Course IV)
• h) Exemption in course work will be applicable only if scholar has done M.Phil. with 55% or equivalent grade ‘B’ in the UGC 7-point scale through regular mode from LPU or any other recognized university.
• i) Selected scholars will have option to pursue course work in one of the following modes:
• h) The coursework tentative schedule for non-agriculture programmes is available below:

For Full-Time Ph.D. Scholars

Course Work options for Ph.D. Scholars

• 1. The coursework options listed under preference exercised by the scholar will only be offered subject to fulfilment of minimum number of scholars opting for that given option. If an option lacks sufficient interest, it may not be offered, and scholars must choose from the available alternatives.
• 2. For option II classes are to be conducted Thursday to Sunday of every third week of all 4 months.
• 3. Induction programme will be conducted before the start of every coursework option.

Exemption in course work will be applicable only if scholar has done M.Phil. (regular mode) with 55% or equivalent grade ‘B’ in the UGC 7-point scale through regular mode from LPU or any other recognized university.

• a) Course work is mandatory for all the scholars admitted in Ph.D. Programme.
• b) The course work will be of 3 semesters containing 30 credits.
• c) All the scholars need to clear non-credited compulsory courses as prescribed by ICAR norms in case they have not studied these courses in their Bachelor and Master degree. For which School of Agriculture and CRDP needs to coordinate after admissions.
• d) Minimum 75% Aggregate attendance is mandatory in the course work.
• e) The evaluation parameters will be similar to that of regular programmes of the university.
• f) The minimum OGPA required in course work of Ph.D. programme is 6.5 with a minimum grade of 6.0 in the individual courses.
• g) Following coursework options with tentative schedule are available for agriculture programmes:
• 1. The contact hours in all these two options will remain same. If number of Research Scholars in any option is less, then that option may not be offered.
• 2. Induction programme will be conducted before the start of every coursework option.

Selected Research Scholar will have option to pursue course work in one of the following modes and tentative schedule is mentioned below:

• 1. The contact hours in all these three options will remain same. If number of Research Scholars in any option is less, then that option may not be offered.

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• UGC ( Prevention, Prohibition and Redressal of sexual harassment of Women employees and students in Higher Educational Institutions ) Regulations, 2015
• Handbook on Sexual Harassment of Women at Workplace issued by the Ministry of Women and Child Development, Government of India
• Internal Complaints Committee against Sexual harassment
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Admissions for 2017-2018 are closed, except for the following programmes.

Integrated b.ed. - m.ed., important information - lpu admissions 2020 update., for b.tech. admissions:.

• Last date to apply has been extended from 31st March, 2020 to 20th April, 2020. Click here to apply
• LPUNEST Test Dates will be informed as and when Government announces JEE Mains schedule in order to provide candidates with clash free schedule. University is also evaluating the options to offer Online proctored LPUNEST remotely.
• Two Schedules of Counselling will be conducted (both online):
• Regular Schedule of Counselling – After the conduct of LPUNEST exam which is dependent upon Government decision on lockdown due to Covid-19.
• Special Schedule of Counseling – Before the conduct of LPUNEST exam, for all those candidates who already have JEE Mains or LPUNEST score (exams conducted in January 2020).
• Special Schedule of Counselling will be conducted online only as per the dates mentioned below:
• This Special Schedule of counselling will help the students with existing score of JEE (Mains) or LPUNEST to confirm their admission and they need not to appear for LPUNEST exam again.
• Regular Schedule of counselling may be conducted only on the basis of LPUNEST exam and not on the basis of JEE (Mains) score so all candidates having JEE Mains (Jan Schedule) score are advised not to wait for Regular Schedule of counselling and try to confirm the admission through Special Schedule of counselling .
• Applicants who do not have LPUNEST score or JEE (Mains) score because they did not appear for exams in January / February shall apply on or before 20th April, 2020. The schedule of LPUNEST exam and counselling / admission process will be informed later.
• Candidates participating in Special Counselling schedule (as per Table mentioned above), if interested, may appear for LPUNEST to improve their score for Scholarship and/or participate in Regular Schedule of counselling again for changing / improving the allotted branch.
• The ranks declared in Special Counselling schedule will not be used for LPUNEST Study Grant.

For MBA Admissions:

• Last date to apply has been extended till 20th April, 2020. Click here to apply
• University has decided to conduct remote video Interviews for admission in MBA during the national lockdown period due to Covid-19. LPUNEST will now be conducted for scholarship only.
• Considering the current COVID-19 Pandemic situation, University has also decided to extend the Last date of MBA Admissions for January applicants till 30th April, 2020.

For All other Programmes:

For ph.d. programme:.

• LPUNEST and subsequent interview will be conducted as per schedule communicated earlier.
• Slot booking for exam will be open from 15 April 2020 onwards. Click here to apply

Toll Free: 1800-102-4057

• Students should download and install the “LPU Live” App for online/remote academic connect (the details in this regard have been updated on UMS). The students shall continue their studies through the “LPU Live” App and LPU-UMS.
• The University shall remain functional and faculty/staff shall be available during the working hours for all kinds of academic support required by the students.
• Incase students opt to undertake any personal domestic travel; it is advised that all necessary precautionary measures and hygiene advisories should be followed.
• International travel by the students is strongly discouraged.
• Students should avoid participation in large gatherings or venturing out to crowded places.
• All University events scheduled till March 31st, 2020 stand postponed till further notice.
• There shall be no changes in the Academic Calendar of the current term.

Notifications/ Events

LPUNEST Studygrant 4th Edition result declared Result for LPUNEST Studygrant 4th Edition has been declared. Details of the award ceremony will be communicated shortly. Candidates who are eligible to get studygrant can check their result at https://lpu.in/studygrant.

LPUNEST Application Invited for Study Grant Lovely Professional University launched LPUNEST Study Grant 5th Edition to augment the same spirit of expanding the purview of previous Editions of LPUNEST Study Grant i.e. ‘LPUNEST Study Grant 1st Edition, 2019’, ‘LPUNEST Study Grant 2nd Edition, 2020’ and ‘LPUNEST Study Grant 3rd Edition, 2021’ LPUNEST Study Grant 4th Edition, 2022’.

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• Email ID for Comments & Feedback : [email protected]
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Applications for academic session 2020-21 are closed. For 2021-22, details will be updated shortly. You may call 01824-404404 or Click here to submit your query.

LPUNEST Applications for 2020-21 will be updated in 2nd week of September. For any kind of query please call 01824-404404 or Click here

LPUNEST Applications for 2020-21 will be updated Shortly. For any kind of query please call 01824-404404 or Click here

Applications are closed in Post Graduate Agriculture Programmes. If seats remain vacant after the first counselling, we will inform you and will guide you for further process. However to apply for any other Post Graduate Sciences Programme Click Here. For any kind of query please call 01824-404404 or Click Here.

PhD Coursework : Latest UGC Guidelines , Syllabus

• by Tanu Bhatnagar
• Published: May 12, 2023, 09:50 IST
• Updated: May 11, 2023, 23:37 IST
• Tanu Bhatnagar
• May 12, 2023

PhD Coursework gives students a thorough grasp of their subject topic and the ability to perform independent research. The University Grants Commission (UGC) of India has published new PhD coursework guidelines and syllabus to improve quality and relevance.

The latest UGC guidelines compel institutions to emphasise interdisciplinary and skill-based courses over subject-specific ones. Besides subject-specific courses, the new syllabus emphasises research techniques, ethics, and critical thinking. The guidelines require colleges to allow students to conduct research and speak at national and international conferences.

These new guidelines and syllabus are designed to enhance PhD coursework in India and develop better researchers with the ability to succeed. This article will examine the latest UGC guidelines and syllabus for PhD coursework and how they are projected to affect Indian research.

Also, read  Top 10 PhD admission exams in India Latest List 2023

Is it mandatory for PhD Scholars to complete coursework?

Absolutely, in accordance latest UGC Guidelines After being admitted into the PhD programmes each student must take a minimum of one semester (six months) of pre-PhD courses. Coursework is a crucial component of any doctorate programme since it lays the groundwork for both the Literature Review and the subject selection processes.

The coursework requirements guarantee that students understand their subject area in depth and breadth. The coursework helps students create a research and dissertation topic. Doctoral candidates might narrow their dissertation interests by completing courses that deepen their knowledge of a field.. The level of specialisation they take in their approach will determine the coursework that they enrol in.

A course on research technique, which may include experimental procedures, quantitative and statistical methods, and computer applications, is required to be taken as part of the course work that will be counted as pre-PhD preparation and will be required to be taken.

Ph. D CourseWork: Latest UGC Guidelines

• According to UGC Regulations 2016: Minimum Standards and Procedure for Award of PhD. Degree, a research scholar admitted to the PhD programme is required to complete coursework for a minimum of one semester.
• During the first one or two semesters, all candidates accepted to the PhD programme must complete the coursework specified by the Department. In the event of maternity, female applicants may be granted a relaxation of two terms or semesters.
• However, if the student is unable to complete the coursework within the prescribed time limit due to valid reasons, the student may file an appeal and the Vice-Chancellor (VC) may grant an extension of up to one semester based on the recommendation of the Appeals Committee (RAC).
• Failure to complete coursework within the extended time frame may result in revocation of admission.
• The Department may exempt candidates from the PhD coursework who already possess an M. Phil degree and have been admitted to the PhD programme, or who have already completed the M.Phil coursework and have been permitted to proceed to the PhD in an integrated course. All other candidates admitted to the PhD programme must complete the PhD coursework stipulated by the Department.
• Seventy-five per cent (75%) attendance is required in coursework classes.
• The coursework should be evaluated using both continuous assessment and a culminating exam.
• The minimum passing grade for each exam is 55 per cent.
• The objective of the UGC guidelines for PhD coursework is to ensure that doctoral candidates have a solid foundation in research methodology and are endowed with the skills necessary to conduct research in their chosen area of specialisation.

Also, read  Predicted Hot Topics for UGC NET Management Subject 2023

Ph. D CourseWork: Syllabus of General Subjects

PAPER – I RESEARCH METHODOLOGY

Unit I : Scientific Research and Approaches to Study Social Phenomena

This unit focuses on the meaning and nature of science, the characteristics of scientific research, and the types of research methods. It also covers the nature of social phenomena, approaches to study social phenomena and ethics of social research.

Unit II : Problem Formation, Research Topic, and Hypothesis

This unit covers problem formation and selection of research topics, sources for selecting research topics, types of variables and their selection, research objectives and purpose, types of research questions and their characteristics, types of hypothesis, and formulation and testing of hypothesis.

Unit III : Research Design and Planning

This unit covers the meaning and types of research design, the advantages of designing research, stages for outlining a research proposal and planning for a good research project.

Unit IV: Sampling Techniques

This unit covers the purposes and principles of sampling, types of sampling and sample size, qualitative and quantitative approaches, and principles of PRA and FRA techniques.

PAPER – II: COMPUTER APPLICATION

Unit I: Data Collection Techniques

This unit covers methods and techniques of data collection, sources of data collection (primary and secondary), schedule and questionnaire, observation, interview, group discussion and key-informant interview, case study, survey, content analysis and projective techniques.

Unit II: Data Processing and Analysis

This unit covers data processing and distribution, tabulation of data, diagrammatic representation, and statistical manipulation of data including frequency of distribution, measures of central tendency, measures of dispersion, comparison, correlation analysis, regression analysis, and chi-square test.

Unit III : Basic Computer Studies

This unit provides an overview of computer applications.

Unit IV: Computer Application: SPSS

This unit covers an introduction to SPSS software, data entry and manipulation using SPSS, and data analysis using SPSS.

Finally, the recent UGC guidelines and syllabus for PhD coursework will improve doctoral education in India. The guidelines emphasise multidisciplinary and skill-based courses to provide PhD students with a wide variety of abilities and knowledge for their professions. By requiring research involvement and conference presentations, the guidelines encourage students to do research and share their results, helping India’s research ecosystem thrive.

The current UGC guidelines and syllabus for PhD coursework are a great step towards strengthening doctoral education in India, and their proper implementation may help develop better researchers who are skilled in their domains.

Also, read  Difference between NTA UGC NET and JRF

Meet Tanu Bhatnagar, an educational expert with extensive experience in teaching, research and mentoring.With a decade in... (Full bio)

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• Department of Industrial and Systems Engineering >
• PhD Program >
• PhD in Industrial Engineering >

Production Systems

Degree concentration for phd, industrial engineering.

In production systems (PS), challenges in manufacturing service and healthcare systems are tackled through the application of the engineering sciences: e.g., analytic  models, information and knowledge-based methods, operations research expertise, and advanced computer technology. 

Faculty and students conduct research in a variety of PS areas including production planning and scheduling, sustainable manufacturing, additive manufacturing, cyber manufacturing, nanomanufacturing, and biomanufacturing. Other research areas include healthcare equity and healthcare service optimization.

We have an active student body, with chapters of the Society of Manufacturing Engineers (SME), American Society for Quality (ASQ), the Institute for Operations Research and the Management Sciences (INFORMS), and the Institute for Industrial and Systems Engineers (IISE). 

PS research is funded by such agencies as the National Science Foundation (NSF) and the Agency for Healthcare Research (AHRQ) as well as national and local corporations such as Catholic Health Systems, Boeing, GE Technologies and the Erie County Medical Center. We often work in teams with faculty and students from other programs, such as Human Factors and Operations Research, to solve problems beyond the expertise of any single discipline. 

Graduated students take positions in academic institutions, federal laboratories, national corporations, and service industries. 

Students pursuing a PhD concentration in PS may also be interested in the following opportunities:

• 4/26/24 Advanced Certificate in Advanced Manufacturing
• 4/26/24 Six Sigma Certification

Required Core Courses

ISE PhD students who concentrate in PS complete at a minimum:

• IE 504 Facilities Design
• IE 505 Production Planning and Control
• IE 506 Computer-Integrated Manufacturing
• IE 507 Design and Analytical Experiments 1
• IE 551 Simulation and Stochastic Models
• IE 508 (Quality Assurance) and IE 509 (Six Sigma) are strongly recommended as elective courses 

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While there are an increasing number of full-fledged AI degree programs , including within business schools , some students may be looking for a simpler or self-paced route. If you’re interested in learning more about this in-demand field, several top tech firms and universities offer free online courses that serve as an introduction to AI technologies.

AWS Skill Builder

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The machine learning plan has nearly seven hours of free content in which individuals can learn the foundations of the technology, including relevant terminology, and decision-making processes. It also teaches users how to utilize Amazon SageMaker , the company’s machine learning platform used by companies like AT&T and LG .

Google: Google AI for Everyone

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Google also covers what AI programming looks like and the process of teaching a computer how to learn. The course is taught by Laurence Moroney , who leads AI Advocacy at Google as part of the Google Research into Machine Intelligence (RMI) team. Nearly 12,000 people have enrolled in this free online course, according to edX.

Harvard University: Introduction to Artificial Intelligence with Python

If you’re one of the 5.7 million people who has taken Harvard University’s CS50 Introduction to Computer Science course through edX , then the university’s introductory AI class might be the best option for you. CS50, which is one of the most popular free online courses of all time, is a prerequisite for Harvard’s Introduction to Artificial Intelligence with Python course.

This seven-week course covers AI algorithms, game-playing engines, handwriting recognition, and machine translation. Students have to commit between 10 and 30 hours per week to complete the course, which includes hands-on projects and lectures. The course is taught by David J. Malan , a renowned computer scientist and Harvard professor.

IBM: AI Foundations for Everyone

IBM, which is recognized as a revolutionary leader in emerging technologies, offers an AI Foundations for Everyone specialization through Coursera. The specialization includes three courses:

• Introduction to Artificial Intelligence (AI)
• Getting Started with AI using IBM Watson
• Building AI Powered Chatbots Without Programming   

The entire specialization takes about three months to complete, assuming you dedicate two hours per week to coursework. Students will learn the basics of what AI is, as well as its applications and ethical concerns. They’ll also hear from experts about starting a career in AI. The program is taught by Rav Ahuja and Antonio Cangiano, who work for IBM’s Skills Network . Participants earn a certificate upon completion.

Intel has a goal to provide more than 30 million people with AI skills by 2030 . As part of this commitment, the company provides dozens of free self-paced courses online on subjects such as deep learning for robotics, deep learning, and natural language processing. 

Intel also has several “AI Concepts” educational pages that will walk you through definitions, real-world examples, tools, and resources for topics such as generative AI, AI inference, and transfer learning. Additionally, the company provides free on-demand webinars on more advanced AI use cases such as optimizing transformer models, optimizing AI workloads, and AI performance tuning.

University of California—Davis: Big Data, Artificial Intelligence, and Ethics

As part of its Computational Social Science specialization through Coursera, the University of California—Davis offers a course focused on AI: Big Data, Artificial Intelligence, and Ethics . During this four-week course, participants learn about big data and its limitations, the history of artificial intelligence, and research ethics. The entire self-paced course takes about 12 total hours to complete.

The course is taught by Martin Hilbert, who is a professor at UC Davis and serves as a chair for computational social science. The course uses case studies to help participants learn AI concepts. More than 31,000 participants have completed this course, and those who do earn a certificate that can be shared on LinkedIn.

University of Pennsylvania: AI for Business

For someone who may be looking to break into AI or who wants to learn more about the applications of this new technology to different industries, the University of Pennsylvania offers a string of courses focused on artificial intelligence. The AI for Business specialization includes four courses:

• AI Fundamentals for Non-Data Scientists
• AI Applications in Marketing and Finance
• AI Applications in People Management
• AI Strategy and Governance  

These beginner courses take a total of about four months to complete and culminate in an applied learning project. Program participants complete peer-reviewed exercises to illustrate what they’ve learned about data analytics, machine learning tools, and people management. The specialization is taught by eight UPenn professors from the Wharton School , a top-ranked business school by Fortune Education, and other professors from the university. The courses are offered through online education platform Coursera, and students can earn a certificate that can be displayed on their LinkedIn profile.

Frequently asked questions

Which course is best in ai.

There is no one best course or program since AI is still so new. What ultimately matters is your curiosity to learn about AI, which you can do by working directly with prompt engineering or machine learning to gain hands-on skills.

Can I learn AI in three months?

You can certainly learn the foundations of AI in three months—especially if you already have a background in computer science. It is important to keep in mind that because AI is always changing and developing, you will need to keep up to date with the latest trends if you are looking to pursue a career focused on working with the technology.

How to learn AI for beginners?

Taking  free AI courses on platforms such as Udemy or Codecademy is a great place to learn AI if you’re a beginner. You can also learn AI by watching YouTube videos or reading through AI subreddits. The number of ways to learn AI are only growing, so there is ultimately no perfect path. Above all, just be curious, ask important questions, and don’t be afraid to dive down rabbit holes

Check out all of  Fortune’ s  rankings of degree programs , and learn more about specific career paths .

Sydney Lake contributed to this piece.

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