phd biostatistics uk

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PhD in Biostatistics

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The MRC Biostatistics Unit is an internationally recognised research department of the University of Cambridge specialising in statistical modelling with application to medical, biological or public health sciences.

Our PhD students are registered with the University of Cambridge. Students belong to one of the University's Colleges and are trained at our Unit at the University Forvie Site on the Cambridge Biomedical Campus at Addenbrooke's Hospital.

We maintain strong links with the University of Cambridge Statistical Laboratory, Alan Turing Institute and other mathematical departments (who are based in the Centre for Mathematical Sciences on the West Cambridge site).

Those who wish to progress to a PhD after completing an MPhil will be required to satisfy their potential supervisor, Head of Department and the Faculty Degree Committee that they have the skills and ability to achieve the higher degree.

The Postgraduate Virtual Open Day usually takes place at the end of October. It’s a great opportunity to ask questions to admissions staff and academics, explore the Colleges virtually, and to find out more about courses, the application process and funding opportunities. Visit the  Postgraduate Open Day  page for more details.

See further the  Postgraduate Admissions Events  pages for other events relating to Postgraduate study, including study fairs, visits and international events.

Key Information

3-4 years full-time, 4-7 years part-time, study mode : research, doctor of philosophy, mrc biostatistics unit, course - related enquiries, application - related enquiries, course on department website, dates and deadlines:, lent 2024 (closed).

Some courses can close early. See the Deadlines page for guidance on when to apply.

Easter 2024 (Closed)

Michaelmas 2024, easter 2025, funding deadlines.

These deadlines apply to applications for courses starting in Michaelmas 2024, Lent 2025 and Easter 2025.

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Biostatistics PhD / MPhil / MD

• Part time available: yes

Studying in:

• institute-of-population-health
• Faculty of Health and Life Sciences

The Department of Biostatistics has expertise in methodological research and a track record of national and international collaboration in high quality research across a broad range of applied health research interests.

Why study with us?

Staff are very supportive and really keen to see me succeed. They are available to talk about any research and any problems I might have. Nurain Ibrahim - Biostatistics PhD student

academic members of staff.

registered postgraduate research students.

The Department of Biostatistics is one of the largest departments of Biostatistics in the UK, undertaking high-impact research in statistical genetics, pharmacogenetics, joint modelling of longitudinal and time-to-event data, multivariate data analysis, stereology, multi-source evidence synthesis and clinical trials. We have a sustained track record of research funded by the MRC, Wellcome Trust, Horizon 2020 and NIHR, and is committed to excellence in methodological and applied research. This provides an ideal environment for esteemed students to develop new methodological skills and applications to important health challenges in stratified medicine, infections, regenerative medicine and public health.

Staff and students are undertaking research involving groundbreaking basic science and life-changing therapies.

We have expertise in methodological research and a track record of national and international collaboration in high quality research across a broad range of applied health research interests:

• Evidence synthesis
• Clinical trials
• Development of core outcome sets
• Recruitment and retention of participants
• Meta-analysis
• Health informatics
• Pharmacogenetics and statistical genetics
• Applied health research.

The department provides an umbrella for cross-disciplinary units and initiatives, including the Clinical Trials Research Centre and the Medical Research Council North West Hub for Trials Methodology Research.

We are currently involved in the supervision of several students whose projects cover a wide range of topics, both in biostatistics and related health research fields. The development of, and support for, researchers is a high priority in the department.

Our research interests include:

• Survival data analysis
• Multivariate and multilevel data analysis
• Methods for evaluating biomarkers
• Statistical pharmacogenetic
• Joint modelling of longitudinal and time-to-event data
• Pharmacokinetics
• Pharmacodynamics personalised dosing algorithms
• Statistical performance monitoring
• Quality of life data analysis.

Research themes

Our research themes include:

• Systematic reviews and meta-analysis
• Analysis of laboratory-based data
• Statistical shape and image analysis
• Stereological methods.

The research infrastructure of the Institute of Translational Medicine is designed to give researchers access to world class facilities in the best possible environment.

Our centres, facilities and resources give us the ability to drive biomedical research from patient samples to the laboratory bench and vice versa from newly generated drug compounds into clinical trials. They provide powerful, productive collaborations between experts within the University and organisations worldwide.

• Biomedical Imaging
• Centre for Antimicrobial Pharmacodynamics
• Centre for Drug Safety Science
• Health Data Science Network
• Centre for Preclinical Imaging
• Clinical Trials Research Centre
• Harris-Wellbeing Preterm Birth Research Centre
• Liverpool Bio-Innovation Hub (LBIH) Biobank
• Liverpool Cancer Trials Unit
• MRC North West Hub for Trials Methodology Research
• North West Cancer Research Centre – University of Liverpool
• Pancreas Biomedical Research Unit.

Research groups

• Survival analysis
• Joint modelling of longitudinal and survival data
• Clinical trials methodology
• Statistical pharmacogenetics
• Multivariate data analysis
• Quality of life data analysis
• Performance monitoring.

Study options and fees

The fees stated in the table above exclude potential research support fees also known as ‘bench fees’. You will be notified of any fee which may apply in your offer letter.

* Please note that if you are undertaking a PhD within the Faculty of Science and Engineering the fee you pay, Band A or Band B, will reflect the nature of your research project. Some research projects incur a higher fee than others e.g. if you are required to undertake laboratory work. You will be informed of the fee for your programme in your offer letter.

^ Self-funded, full-time international students studying a PhD programme classified as Band A will receive a £2,000 reduction in their fees for the first year only.

Entry requirements

To discuss the entry requirements for this programme please contact the  ITMPGR Student Team .

Applicants for postgraduate research study at Liverpool are normally expected to hold a UK first degree with a First Class or Upper Second Class degree classification, or a Second Class degree plus a Master’s degree. Equivalent international qualifications are also accepted, and their equivalence will be evaluated on the basis of the information provided by the National Academic Recognition and Information Centre (NARIC) as well as internal guidance based on our experience of a qualification’s suitability as a preparation for our programmes.

English language requirements

How to apply.

Research degree applications can be made online.  You'll also need to ensure that you have funding to cover all fees.

Applications are  open all year round .

More about applying for research degrees

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Before you apply, we recommend that you identify a supervisor and develop a research proposal

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• Phone: +44 (0)151 794 5455

Related studentships: self-funded and funded PhD projects

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We offer a range of scholarships to help you meet the costs of studying a research degree.

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PhD/MPhil Biostatistics / Overview

Year of entry: 2024

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We require applicants to hold, or be about to obtain, an Upper Second class Honours degree, or the equivalent qualification gained outside the UK, in a related subject area for entry to a PhD programme. A Lower Second class Honours degree may be considered if applicants also hold a Master's degree with a Merit classification.

Full entry requirements

See full guidance on how to choose a project and submit an application on our websi te . You should then complete the online admissions application form to apply for this programme. Ensure you include all required supporting documents at the time of submission, or this may delay the processing of your application.

Application deadlines

You must submit your application for a postgraduate research programme before the relevant deadline to be considered. You will not be able to apply after these deadlines have passed.

• January entry: 15 October (of the year prior entry)
• April entry: 15 January (year of entry)
• September entry: 15 June (year of entry)

Programme options

Programme overview.

• Learn from some of Europe's leading researchers while undertaking your own project.
• Access some of the best research facilities in the world at both the University and in hospitals around Greater Manchester.
• Undergo training in transferable skills critical to developing early-stage researchers and professionals through the Doctoral Academy's training programme.
• Conduct research at a university ranked 6th in the UK (QS World University Rankings 2023).

For entry in the academic year beginning September 2024, the tuition fees are as follows:

• PhD (full-time) UK students (per annum): Standard £4,786, Low £11,000, Medium £17,500, High £23,000 International, including EU, students (per annum): Standard £27,000, Low £28,500, Medium £34,500, High £40,500
• PhD (part-time) UK students (per annum): Standard £2393, Low £5,500, Medium £8,750, High £11,500 International, including EU, students (per annum): Standard £13,500, Low £14,250, Medium £17,250, High £20,250

Further information for EU students can be found on our dedicated EU page.

Contact details

Programmes in related subject areas.

Use the links below to view lists of programmes in related subject areas.

• Biosciences

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You can find regulations and policies relating to student life at The University of Manchester, including our Degree Regulations and Complaints Procedure, on our regulations website .

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PhD Bio-Statistics

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Entry requirements

Fees and funding.

• What's next?

Our PhD Biostatistics is an advanced research degree within the School of Mathematics, Statistics and Actuarial Science. Our biostatistics team carries out research in statistical analysis, such as survival analysis, longitudinal analysis, Bayesian statistics, analysis of biological and behavioural data and spatial statistics, with collaboration areas including: clinical trials, genetics, infectious disease and data visualisation, but you are invited to contact the School to discuss other potential research areas.

Research links and joint projects with our University's School of Life Sciences, School of Health and Social Care and the Institute for Social and Economic Research, provide you with opportunities for collaborative research.

Our staff are strongly committed to research and teaching. They have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals such as: Biostatistics, Statistics in Medicine, BMC Women's Health, Methods of Information in Medicine , and Biometrical Journal .

Our School of Mathematics, Statistics and Actuarial Science is genuinely innovative and student-focused. Our research groups are working on a broad range of collaborative areas tackling real-world issues. Here are a few examples:

We offer an MSD and MPhil in this subject, and part-time research study is available. You can also start this course in either October, January or April.

• Our School of Mathematics, Statistics and Actuarial Science has an internationally excellent reputation in areas such as algebraic geometry, group theory, semigroup theory, differential equations, optimisation, probability, applied statistics, bioinformatics and mathematical biology.
• Our School is ranked 31st for research power in the Research Excellence Framework 2021.
• You will be able to access mathematical software packages on the University's High-Performance Computing cluster.

Our expert staff

The School of Mathematics, Statistics and Actuarial Science has an international reputation in all areas of Mathematical Sciences including; statistics, operational research, applied mathematics, pure mathematics, and actuarial science.

We encourage PhD students to meet with their supervisor regularly. While undertaking your research within Mathematical Sciences, joint supervision across other Essex departments and schools is possible. Joint supervision allows you to have a supervisor based in our School and another in a relevant Department or School (such as Life Sciences, or Computer Science and Electronic Engineering).

At the end of your PhD you may be publishing your research in academic journals. Our PhD students have had papers accepted and published in journals such as: Ecology, Journal of Physics A: Mathematical and Theoretical, Mathematical Modelling of Natural Phenomena , and The North American Journal of Economics and Finance .

Specialist facilities

The School of Mathematics, Statistics and Actuarial Science is based in the University's state-of-the-art STEM Centre. Research students have a dedicated work space and PCs, with access to software such as MATLAB, Gap, SageMath, Python and R.

All University of Essex research students have access to our innovative and unique scheme, Proficio. Postgraduate research students are automatically enrolled on Proficio, which provides a variety of training courses, and a fund of up to £2500 per student for conference attendance and relevant external training courses.

Our School is part of MAGIC , a consortium of 22 UK universities which share PhD-level Mathematics courses, giving you access to a wide array of specialist training opportunities.

Your future

Many of our former PhD students have gone on to work as academics in prominent institutions across the world, such as the University of Cambridge, University of Nottingham and many other international universities. Some have also remained at the University of Essex, working as postdoctoral research fellows, research impact officers, or lecturers.

Other graduates have joined organisations like the Met Office, the Ministry of Defence, and companies based in the City of London. There is a high demand for those with a numerate background in all sectors of the economy, so our graduates are sought after in the UK and abroad.

UK entry requirements

You will need a good honours degree and a Masters degree in a relevant subject. A well-developed research proposal is also essential.

You may be required to attend an interview/Skype interview for acceptance, and acceptance is subject to research expertise in the department.

International & EU entry requirements

We accept a wide range of qualifications from applicants studying in the EU and other countries. Get in touch with any questions you may have about the qualifications we accept. Remember to tell us about the qualifications you have already completed or are currently taking.

Sorry, the entry requirements for the country that you have selected are not available here. Please select your country page where you'll find this information.

English language requirements

Course structure.

A research degree gives you the chance to investigate an area or topic in real depth, and develop transferable research skills. During your time in the School you have opportunities to attend conferences, publish papers, and give talks at departmental research seminars. You may also attend some university modules, and will meet with your supervisor typically on a weekly basis.

Within our School, our PhD students are usually encouraged to take our taught module, Research Methods, in the first year of study, so you are well equipped with the necessary skills to undertake effective research. You may also attend some other modules on an informal basis.

All our students wishing to study for a PhD enrol on a combined MPhil/PhD pathway. In your second year of study, depending on progress, a decision is made by our School on whether to proceed with either an MPhil or a PhD.

Our full-time research students have a supervisory board to review their progress every six months (or annually if studying part-time). Typically, the board involves your supervisor and one other academic. The recommendations of this are considered by our Departmental Research Students' Progress Board, which will make decisions on your registration status.

If you progress well, you should be confirmed as a PhD student in the first term of your second year of study.

We understand that deciding where and what to study is a very important decision for you. We'll make all reasonable efforts to provide you with the courses, services and facilities as described on our website and in line with your contract with us. However, if we need to make material changes, for example due to significant disruption, we'll let our applicants and students know as soon as possible.

Components are the blocks of study that make up your course. A component may have a set module which you must study, or a number of modules from which you can choose.

Each component has a status and carries a certain number of credits towards your qualification.

The modules that are available for you to choose for each component will depend on several factors, including which modules you have chosen for other components, which modules you have completed in previous years of your course, and which term the module is taught in.

Modules are the individual units of study for your course. Each module has its own set of learning outcomes and assessment criteria and also carries a certain number of credits.

In most cases you will study one module per component, but in some cases you may need to study more than one module. For example, a 30-credit component may comprise of either one 30-credit module, or two 15-credit modules, depending on the options available.

Modules may be taught at different times of the year and by a different department or school to the one your course is primarily based in. You can find this information from the module code . For example, the module code HR100-4-FY means:

COMPONENT 01: COMPULSORY

This module is for PhD students who are completing the research portions of their theses.

View Mathematics - Research on our Module Directory

A PhD (taking at least three years) typically involves wide reading round the subject area in your first year, then gradually developing original results over your second and third years, before writing them up in a coherent fashion. The resulting thesis is expected to make a significant contribution to knowledge.

Your PhD is awarded after your successful defence of your thesis in an oral examination (viva), in which you are interviewed about your research by two examiners, at least one of whom is from outside Essex.

Home/UK fee

£4,712 per year

International fee

£17,900 per year

Fees will increase for each academic year of study.

Masters fees and funding information

Research (e.g. PhD) fees and funding information

What's next

We hold Open Days for all our applicants throughout the year. Our Colchester Campus events are a great way to find out more about studying at Essex, and give you the chance to:

• tour our campus and accommodation
• find out answers to your questions about our courses, graduate employability, student support and more
• talk to our Fees and Funding team about scholarship opportunities
• meet our students and staff

If the dates of our organised events aren’t suitable for you, feel free to get in touch by emailing [email protected] and we’ll arrange an individual campus tour for you.

2024 Open Days (Colchester Campus)

• Saturday 15 June 2024 - June Open Day
• Saturday 21 September 2024 - September Open Day
• Saturday 26 October 2024 - October Open Day

You can apply for this postgraduate course online . Before you apply, please check our information about necessary documents that we'll ask you to provide as part of your application.

We encourage you to make a preliminary enquiry directly to a potential supervisor or the Graduate Administrator within your chosen Department or School. We encourage the consideration of a brief research proposal prior to the submission of a full application.

We aim to respond to applications within four weeks. If we are able to offer you a place, you will be contacted via email.

For information on our deadline to apply for this course, please see our ‘ how to apply ' information.

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At Essex we pride ourselves on being a welcoming and inclusive student community. We offer a wide range of support to individuals and groups of student members who may have specific requirements, interests or responsibilities.

The University makes every effort to ensure that this information on its programme specification is accurate and up-to-date. Exceptionally it can be necessary to make changes, for example to courses, facilities or fees. Examples of such reasons might include, but are not limited to: strikes, other industrial action, staff illness, severe weather, fire, civil commotion, riot, invasion, terrorist attack or threat of terrorist attack (whether declared or not), natural disaster, restrictions imposed by government or public authorities, epidemic or pandemic disease, failure of public utilities or transport systems or the withdrawal/reduction of funding. Changes to courses may for example consist of variations to the content and method of delivery of programmes, courses and other services, to discontinue programmes, courses and other services and to merge or combine programmes or courses. The University will endeavour to keep such changes to a minimum, and will also keep students informed appropriately by updating our programme specifications . The University would inform and engage with you if your course was to be discontinued, and would provide you with options, where appropriate, in line with our Compensation and Refund Policy.

The full Procedures, Rules and Regulations of the University governing how it operates are set out in the Charter, Statutes and Ordinances and in the University Regulations, Policy and Procedures.

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DPhil in Clinical Epidemiology and Medical Statistics

• Entry Requirements
• Funding and Costs

College preference

• How to Apply

About the course

As a DPhil student in Clinical Epidemiology and Medical Statistics, you will spend up to four years in one of the Botnar Research Centre’s many research groups, working on a research project supervised by one of the principal investigators and your supervisory team. You will take part in the extensive training programme specifically organised for graduate students within the department.

This DPhil programme focuses on epidemiology, medical statistics, clinical trials, real world health data, research methodology, artificial intelligence and machine learning, and health economics - aiming to advance healthcare practice and policy to ultimately generate reliable evidence for improving patient care.

You will develop your research skills during your first year, including compulsory attendance at the department's fundamentals in biomedical research lectures. During the first term you will develop, in consultation with your supervisor, a training needs plan. Your training will be tailored to your specific project and personal requirements drawing from the vast range of courses available at Oxford and covering specialist scientific methods and transferable skills. Please note that there is no formal taught component of the DPhil in Clinical Epidemiology and Medical Statistics; however, you will develop your research skills through a range of research training in your first year and by attending departmental/institute journal clubs and seminar series.

During the first term there is compulsory attendance at core lectures on a variety of research techniques and research areas covered in the department including:

• inflammation
• tissue engineering
• clinical trial design
• epidemiology
• rheumatology
• orthopaedics
• musculoskeletal diseases.

During your first year, you will be expected to attend a minimum of three topic-related modules.

As a member of Medical Sciences Graduate School, you will be entitled to attend various workshops run by the Medical Sciences Skills Training  programme which are run during term time.

Attendance on a two-day Data Analysis: Statistics Designing Clinical Research and Biostatistics course is compulsory (if you have had no previous statistical training) to assist you with appropriate research design. As a component of your training, you will be expected to work with your supervisory team to write a research-specific literature review within the first year of your studies.

Supervision

The allocation of graduate supervision for this course is the responsibility of Medical Sciences and the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may come from other departments in the University.

The allocation of graduate supervision for this course is the responsibility of Medical Sciences and the Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside Medical Sciences and NDORMS.

All students must have a core supervisory team of at least two supervisors. At the beginning of your programme, you will meet with your supervisors regularly to finalise your project and agree on an initial programme of research. Within the first three months, you will complete an analysis of your training needs (TNA) for the duration of your research, with your primary supervisor, and submit it as part of your compulsory termly reporting through the Graduate Supervision Reporting system (GSR).

Regularity of student/supervisor meetings will be agreed between the student and supervisors directly. Every student should meet their supervisors at least once per month. The Thesis Committee is an important second strand of supervisory support and is compulsory at the Botnar Research Centre; further information can be provided by the Graduate Studies Team.

Within the first six to twelve months you are expected to complete a literature review on your DPhil research which will assist you in have a broad knowledge on the background of the subject.

In the case of students who require specific help to adjust to an academic programme or to a new range of skills, the supervisor will work with them to ensure that they have the necessary additional support.

Your attainment will be monitored regularly via:

• Completion of termly reports by you and your supervisor(s) through Graduate Supervision Reporting (GSR)
• Successful completion of the first milestone, Transfer of Status- before the end of the fourth term. The process includes preparation and submission of a 5000-word transfer report and assessment by two independent academics, in a viva voce.
• Successful completion of the second milestone, Confirmation of Status- before the end of the eighth term. This process includes assessment by two independent academics, in a viva voce. The assessment includes the student providing a detailed presentation of their findings, an outline of the student's thesis and a viva.
• Successful completion of the final milestone, submission and defence of the DPhil thesis, no later than twelfth term. The student's thesis will be formally examined by independent internal (to Oxford University) and external examiners, who will scrutinise the student's findings and the depth/breadth of their knowledge on their DPhil research.

Stages 2, 3 and 4 will be assessed by two independent senior academics to ensure you are on track with your research and that you are receiving adequate guidance.

Graduate destinations

According to the department's records, NDORMS alumni are employed, across a wide range of clinical professions (eg rheumatology, orthopaedics or physiotherapy) and non-clinical related professions (eg in postdoctoral academic and industrial research, teaching, pharmaceuticals, marketing and scientific writing). A number of alumni have set up their own businesses or changed paths completely, into banking or medical writing.

The Director of Graduate Studies and Graduate Studies Assistant follow the department's alumni to establish the long-term career paths of past students.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made in circumstances of a pandemic, epidemic or local health emergency. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

Entry requirements for entry in 2024-25

Proven and potential academic excellence.

The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you  evaluate whether your application is likely to be competitive .

Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying. 

Degree-level qualifications

As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

• a first-class or strong upper second-class undergraduate degree with honours as a minimum, in statistics, epidemiology, health economics and/or related topics.

The department also considers applicants from medically qualified individuals. In special circumstances, applications from other medically related subjects (eg nurses, and/or allied health professionals) will be considered for the DPhil. If you fall into this category, please contact the Graduate Studies Officer .

You do not need to have a previous master's degree to be considered for this DPhil.

For applicants from the USA or China, the minimum GPA sought is 3.5 out of 4.0.

If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.

GRE General Test scores

No Graduate Record Examination (GRE) or GMAT scores are sought.

Other qualifications, evidence of excellence and relevant experience

• Research or working experience in any field may be an advantage. For clinical applicants, evidence of your employer's support will be required.
• In exceptional circumstances, an applicant could be considered if they have substantial professional experience in a statistical/epidemiological-related field.
• It would be expected that graduate applicants would be familiar with the recent published work of their proposed supervisor.
• Although it is not essential, preference will be given to applicants who have recent publications and/or awards from various funding bodies.

English language proficiency

This course requires proficiency in English at the University's  standard level . If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's standard level are detailed in the table below.

*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE) † Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)

Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides further information about the English language test requirement .

Declaring extenuating circumstances

If your ability to meet the entry requirements has been affected by the COVID-19 pandemic (eg you were awarded an unclassified/ungraded degree) or any other exceptional personal circumstance (eg other illness or bereavement), please refer to the guidance on extenuating circumstances in the Application Guide for information about how to declare this so that your application can be considered appropriately.

You will need to register three referees who can give an informed view of your academic ability and suitability for the course. The  How to apply  section of this page provides details of the types of reference that are required in support of your application for this course and how these will be assessed.

Supporting documents

You will be required to supply supporting documents with your application. The  How to apply  section of this page provides details of the supporting documents that are required as part of your application for this course and how these will be assessed.

Performance at interview

Interviews are normally held as part of the admissions process.

All shortlisted candidates will be interviewed in person or by video-conference. The interview will be conducted by up to six senior academics and it will last a maximum of 45 minutes. Those shortlisted for interviews will be notified 7 to 14 days prior to the interview date. 

The shortlisted applicants will be required to give a 10 minute presentation on their previous research or that proposed to be undertaken for the DPhil.

How your application is assessed

Your application will be assessed purely on your proven and potential academic excellence and other entry requirements described under that heading.

References  and  supporting documents  submitted as part of your application, and your performance at interview (if interviews are held) will be considered as part of the assessment process. Whether or not you have secured funding will not be taken into consideration when your application is assessed.

An overview of the shortlisting and selection process is provided below. Our ' After you apply ' pages provide  more information about how applications are assessed . 

Shortlisting and selection

Students are considered for shortlisting and selected for admission without regard to age, disability, gender reassignment, marital or civil partnership status, pregnancy and maternity, race (including colour, nationality and ethnic or national origins), religion or belief (including lack of belief), sex, sexual orientation, as well as other relevant circumstances including parental or caring responsibilities or social background. However, please note the following:

• socio-economic information may be taken into account in the selection of applicants and award of scholarships for courses that are part of  the University’s pilot selection procedure  and for  scholarships aimed at under-represented groups ;
• country of ordinary residence may be taken into account in the awarding of certain scholarships; and
• protected characteristics may be taken into account during shortlisting for interview or the award of scholarships where the University has approved a positive action case under the Equality Act 2010.

Initiatives to improve access to graduate study

This course is taking part in a continuing pilot programme to improve the selection procedure for graduate applications, in order to ensure that all candidates are evaluated fairly.

For this course, socio-economic data (where it has been provided in the application form) will be used to contextualise applications at the different stages of the selection process.  Further information about how we use your socio-economic data  can be found in our page about initiatives to improve access to graduate study.

Processing your data for shortlisting and selection

Information about  processing special category data for the purposes of positive action  and  using your data to assess your eligibility for funding , can be found in our Postgraduate Applicant Privacy Policy.

Admissions panels and assessors

All recommendations to admit a student involve the judgement of at least two members of the academic staff with relevant experience and expertise, and must also be approved by the Director of Graduate Studies or Admissions Committee (or equivalent within the department).

Admissions panels or committees will always include at least one member of academic staff who has undertaken appropriate training.

Other factors governing whether places can be offered

The following factors will also govern whether candidates can be offered places:

• the ability of the University to provide the appropriate supervision for your studies, as outlined under the 'Supervision' heading in the  About  section of this page;
• the ability of the University to provide appropriate support for your studies (eg through the provision of facilities, resources, teaching and/or research opportunities); and
• minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes.

Offer conditions for successful applications

If you receive an offer of a place at Oxford, your offer will outline any conditions that you need to satisfy and any actions you need to take, together with any associated deadlines. These may include academic conditions, such as achieving a specific final grade in your current degree course. These conditions will usually depend on your individual academic circumstances and may vary between applicants. Our ' After you apply ' pages provide more information about offers and conditions . 

In addition to any academic conditions which are set, you will also be required to meet the following requirements:

Financial Declaration

If you are offered a place, you will be required to complete a  Financial Declaration  in order to meet your financial condition of admission.

Disclosure of criminal convictions

In accordance with the University’s obligations towards students and staff, we will ask you to declare any  relevant, unspent criminal convictions  before you can take up a place at Oxford.

Academic Technology Approval Scheme (ATAS)

Some postgraduate research students in science, engineering and technology subjects will need an Academic Technology Approval Scheme (ATAS) certificate prior to applying for a  Student visa (under the Student Route) . For some courses, the requirement to apply for an ATAS certificate may depend on your research area.

The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is a large multi-disciplinary department with a broad range of sciences related to medicine. Research spans the translational research spectrum, from basic biological research through to clinical and epidemiological research. 

The NDORMS is committed to training the next generation of scientists in biological and clinical sciences and has a large number of staff (over 400 people), approximately 100 postgraduate research students and a grant portfolio in excess of £150 million.

NDORMS has state-of-the-art research facilities across the spectrum of our research expertise.

There is student representation within the various departmental committees, providing student-led support as well as representing students’ interests in departmental decision-making.

You will have access to a wide range of resources within the department and University, including the following facilities.

You will have access to University IT services and Medical Sciences Division IT support. You will be allocated unique single-sign-on (SSO) credentials which will allow you to access numerous resources such as information on local seminars (Oxford Talk), other departmental and University information, the divisional skills training portal, Researchers' Toolkit, significant information on the University's student gateway, career courses and libraries online.

You will have access to local libraries: the Bodleian Library, the Cairns Library based in the John Radcliffe Hospital and musculoskeletal-related topics at the Girdlestone Library located at the Nuffield Orthopaedic Centre's Knowledge Centre on the Old Road Campus. Furthermore, through the central University library services, you will have access to a wide range of articles and publications.

Study and experimental space

You will be allocated an office space/working station that may be shared undertaking data analyses and computer-based research.

Lectures and seminars

You will be notified by regular emails about seminar schedules within the department and you are encouraged to visit the Oxford Talk website to access other departments' and divisions' seminars and lectures.

NDORMS Student Committee

Currently there are approximately 100 DPhil and MSc research students. There is an active student committee which organises regular social events, a Christmas gathering with a band, and a picnic in the park during the summer. At least two students are represented at the department’s Graduate Studies Committee, the Athena SWAN Committee and the University's Graduate Joint Consultative Committee to express students' opinions, concerns and views.

Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences

The Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS) is a vibrant multi-disciplinary department focusing on musculoskeletal and immunological diseases, from bench to bedside.

NDORMS is the largest European academic department in its field and runs a globally competitive programme of research and teaching, supported by a grants portfolio worth £169 million.

The department, headed by Professor Jonathan Rees, comprises over 400 staff including 45 professors/associate professors, approximately 100 graduate students and, several university lecturers and senior researchers supported by prestigious awards.

NDORMS has two institutes, the Botnar Research Centre (led by Professor Jonathan Rees) on the Nuffield Orthopaedic Centre (NOC) site, and the Kennedy Institute of Rheumatology (led by Professor Fiona Powrie) on the Old Road Campus. It also has a number of world-renowned units, including the Centre for Statistics in Medicine (led by Professor Gary Collins), the Oxford Clinical Trials Research Unit and the Kadoorie Centre for Critical Care Research (led by Professor Matt Costa) and Education (based in the John Radcliffe Hospital).

The Botnar Research Institute provides a unique setting for basic science researchers, statisticians and clinical trials experts to interact with clinician scientists, and to translate new experimental medicines and surgical designs into successful treatments. The Botnar Research Centre is strongly connected to the internationally renowned NOC, providing crucial access to patients' samples and an overall capacity for clinical and surgical trials.

The Kennedy Institute carries out basic and clinical research in chronic inflammatory and degenerative diseases including arthritis and inflammatory bowel disease. The Kennedy Institute is famous for its development of anti-TNF therapy to treat rheumatoid arthritis, a chronic debilitating disease. This treatment has improved the lives of millions of patients around the world.

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The University expects to be able to offer over 1,000 full or partial graduate scholarships across the collegiate University in 2024-25. You will be automatically considered for the majority of Oxford scholarships , if you fulfil the eligibility criteria and submit your graduate application by the relevant December or January deadline. Most scholarships are awarded on the basis of academic merit and/or potential. 

For further details about searching for funding as a graduate student visit our dedicated Funding pages, which contain information about how to apply for Oxford scholarships requiring an additional application, details of external funding, loan schemes and other funding sources.

Please ensure that you visit individual college websites for details of any college-specific funding opportunities using the links provided on our college pages or below:

Please note that not all the colleges listed above may accept students on this course. For details of those which do, please refer to the College preference section of this page.

Further information about funding opportunities for this course can be found on the department's website.

Annual fees for entry in 2024-25

Further details about fee status eligibility can be found on the fee status webpage.

Information about course fees

Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on changes to fees and charges .

Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.

Continuation charges

Following the period of fee liability , you may also be required to pay a University continuation charge and a college continuation charge. The University and college continuation charges are shown on the Continuation charges page.

Where can I find further information about fees?

The Fees and Funding  section of this website provides further information about course fees , including information about fee status and eligibility  and your length of fee liability .

Additional information

There are no compulsory elements of this course that entail additional costs beyond fees (or, after fee liability ends, continuation charges) and living costs. However, please note that, depending on your choice of research topic and the research required to complete it, you may incur additional expenses, such as travel expenses, research expenses, and field trips. You will need to meet these additional costs, although you may be able to apply for small grants from your department and/or college to help you cover some of these expenses.

Living costs

In addition to your course fees, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.

For the 2024-25 academic year, the range of likely living costs for full-time study is between c. £1,345 and £1,955 for each month spent in Oxford. Full information, including a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs, is available on our living costs page. The current economic climate and high national rate of inflation make it very hard to estimate potential changes to the cost of living over the next few years. When planning your finances for any future years of study in Oxford beyond 2024-25, it is suggested that you allow for potential increases in living expenses of around 5% each year – although this rate may vary depending on the national economic situation. UK inflationary increases will be kept under review and this page updated.

Students enrolled on this course will belong to both a department/faculty and a college. Please note that ‘college’ and ‘colleges’ refers to all 43 of the University’s colleges, including those designated as societies and permanent private halls (PPHs). 

If you apply for a place on this course you will have the option to express a preference for one of the colleges listed below, or you can ask us to find a college for you. Before deciding, we suggest that you read our brief  introduction to the college system at Oxford  and our  advice about expressing a college preference . For some courses, the department may have provided some additional advice below to help you decide.

The following colleges accept students for the DPhil in Clinical Epidemiology and Medical Statistics:

• Green Templeton College
• Lady Margaret Hall
• Linacre College
• St Anne's College
• St Catherine's College
• St Hilda's College
• Wolfson College

Before you apply

We strongly recommend you consult the Medical Sciences Graduate School's research themes to identify the most suitable course and supervisor .

Our  guide to getting started  provides general advice on how to prepare for and start your application.  You can use our interactive tool to help you evaluate whether your application is likely to be competitive .

If it's important for you to have your application considered under a particular deadline – eg under a December or January deadline in order to be considered for Oxford scholarships – we recommend that you aim to complete and submit your application at least two weeks in advance . Check the deadlines on this page and the  information about deadlines  in our Application Guide.

Application fee waivers

An application fee of £75 is payable per course application. Application fee waivers are available for the following applicants who meet the eligibility criteria:

• applicants from low-income countries;
• refugees and displaced persons; 
• UK applicants from low-income backgrounds; and 
• applicants who applied for our Graduate Access Programmes in the past two years and met the eligibility criteria.

You are encouraged to  check whether you're eligible for an application fee waiver  before you apply.

Readmission for current Oxford graduate taught students

If you're currently studying for an Oxford graduate taught course and apply to this course with no break in your studies, you may be eligible to apply to this course as a readmission applicant. The application fee will be waived for an eligible application of this type. Check whether you're eligible to apply for readmission .

Application fee waivers for eligible associated courses

If you apply to this course and up to two eligible associated courses from our predefined list during the same cycle, you can request an application fee waiver so that you only need to pay one application fee.

The list of eligible associated courses may be updated as new courses are opened. Please check the list regularly, especially if you are applying to a course that has recently opened to accept applications.

Do I need to contact anyone before I apply?

Before you apply (if you are not applying for an advertised project), you should approach a supervisor to ensure they have the capacity to take you on and are willing to support your application. You will also need to agree on a research project, a proposal for which should be submitted as part of your application. Details of potential supervisors  can be found on the department's website.

Completing your application

You should refer to the information below when completing the application form, paying attention to the specific requirements for the supporting documents .

For this course, the application form will include questions that collect information that would usually be included in a CV/résumé. You should not upload a separate document. If a separate CV/résumé is uploaded, it will be removed from your application .

If any document does not meet the specification, including the stipulated word count, your application may be considered incomplete and not assessed by the academic department. Expand each section to show further details.

Proposed field and title of research project

You must enter the project you are applying to under 'Field and title of research project' on the 'Course' tab of the application form.

You should not use this field to type out a full research proposal. You will be able to upload your research supporting materials separately if they are required (as described below).

Proposed supervisor

Under 'Proposed supervisor name' enter the name of the academic(s) who you would like to supervise your research. 

Referees Three overall, of which at least two must be academic

Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.

One professional reference is acceptable, though your other references should be academic and should comment specifically on your academic ability.

Your references should support your intellectual ability, academic achievement, motivation and ability to work independently.

Official transcript(s)

Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.

More information about the transcript requirement is available in the Application Guide.

Statement of purpose/personal statement and research proposal: Up to 500 words for the personal statement and up to 2,000 words for the research proposal

All applicants should submit a personal statement. If you are not applying for specified studentships, you will also need to submit a research proposal.

Your statement of purpose/personal statement and research proposal should be submitted as a single, combined document with clear subheadings. Please ensure that the word counts for each section are clearly visible in the document.

Statement of purpose/personal statement

You should provide a statement of your research interests, in English, describing how your background and research interests relate to the programme. If possible, please ensure that the word count is clearly displayed on the document.

The statement should focus on academic or research-related achievements and interests rather than personal achievements and interests.

This will be assessed for:

• your reasons for applying;
• evidence of motivation for and understanding of the proposed area of study;
• the ability to present a reasoned case in English;
• capacity for sustained and focused work; and
• understanding of problems in the area and ability to construct and defend an argument.

It will be normal for students’ ideas and goals to change in some ways as they undertake their studies, but your personal statement will enable you to demonstrate your current interests and aspirations.

Research proposal

A research proposal should only be submitted if you are not applying for a specified studentship.

Your research proposal, should comprise a detailed outline of your proposed research, written in English. The research proposal should include details of the background/rationale of the research, hypotheses and methodology. It should explain the originality/novelty of the work and outline how completion within twelve academic terms (ie four years) can be achieved. The overall word count, of no more than 2,000 words, should include any bibliography.

If possible, please ensure that the word count is clearly displayed on the document.

Start or continue your application

You can start or return to an application using the relevant link below. As you complete the form, please  refer to the requirements above  and  consult our Application Guide for advice . You'll find the answers to most common queries in our FAQs.

Application Guide   Apply

ADMISSION STATUS

Closed to applications for entry in 2024-25

Register to be notified via email when the next application cycle opens (for entry in 2025-26)

12:00 midday UK time on:

Friday 1 December 2023 Latest deadline for most Oxford scholarships

A later deadline shown under 'Admission status' If places are still available,  applications may be accepted after 1 December . The 'Admissions status' (above) will provide notice of any later deadline.

*One year average (applications for entry in 2023-24)

Further information and enquiries

This course is offered by the  Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences

• Course page on the department's website
• Funding information from the department
• Academic and research staff
• Departmental research
• Medical Sciences Graduate School
• Residence requirements for full-time courses
• Postgraduate applicant privacy policy

Course-related enquiries

Advice about contacting the department can be found in the How to apply section of this page

✉ [email protected] ☎ +44 (0)1865 737641

Application-process enquiries

See the application guide

Other courses to consider

You may also wish to consider applying to other courses that are similar or related to this course:

View related courses

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• Prospective Students
• Current Students
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PhD in Statistics

Study with leading statisticians at a world-class university

  Applications for entry 2024/25 are open  

Funding deadlines: 15 January 2024 (Applications received by this date will be considered for available studentships; we may also be able to consider applications received by the end of March for funding, but this is not guaranteed.) Final application deadline: 23 May 2024  

How to Apply

A PhD offers the chance to undertake a substantial piece of supervised work that is worthy of publication and which makes an original contribution to knowledge in a particular field. Our PhD programme is designed to produce professional social scientists, well versed in a range of advanced statistical techniques and methods, in addition to having an in-depth knowledge of your topic of interest. 

The Department of Statistics is one of the world's leading centres of quantitative methods in the social sciences and has long been home to some of the world's most famous and innovative statisticians. Today, the department has an international reputation for the development of statistical methodology that has grown from our long history of active contributions to research and teaching in statistics. 

Our core research areas are:

• Data science
• Probability in finance and insurance
• Social statistics
• Time series and statistical learning

If you have any questions about our MPhil/PhD Statistics programme, please  email the Research Manager .  

Research environment

The Department of Statistics at LSE is one of the oldest and most distinguished in the UK. It has a rich research portfolio covering core areas of statistical inference and real applications, particularly in the economic, financial and actuarial, social and industrial arenas. The close collaboration with other LSE departments, our London location and strong international partnerships are reflected in the research life of the Department of Statistics through the members of staff, PhD students, postdoctoral research fellows and the thriving visitor and seminar programmes.

Research in the department is concentrated in the following areas and PhD proposals should normally be linked to one of these areas:

Data Science

Research in the data science area is concerned with the development of new machine learning and statistical methods, and their applications. The areas of applications include the design of novel methods for understanding user behaviour, analysis of social data, modelling and inference for information cascades and epidemic processes that arise in social networks and biomedical applications, as well as algorithms for development of next-generation artificial intelligence systems.

Possible areas of research include:

• Bayesian inference and predictions
• Functional data analysis
• High-dimensional statistics
• Machine and statistical learning for relational data
• Network data models, inference and predictions
• Optimisation and machine learning
• Reinforcement learning
• Statistical learning methods in precision medicine
• Statistical models and inference for ranking data
• Stochastic models of epidemic processes
• Stochastic optimisation methods
• Stochastic processes in econometrics and finance

For more information about potential supervisors and their areas of interest, visit the Data Science research group .

Probability in Finance and Insurance

PhD research in probability in finance and insurance encompasses many aspects of the discipline. Methodological and theoretical research is mainly guided by applications with the aid of both academic and industrial experts, covering topics of modern stochastic finance with an emphasis on insurance and financial mathematics.  Applications include pricing and hedging exotic products, counterparty risk, portfolio optimisation, risk management and insurance, risk transfer and securitisation, etc. 

Research topics may be identified in advance by the applicant or may be arrived at through communication with a potential supervisor. The relative emphasis on methodology/theory vs. application may vary. 

Suggested research areas of PhD research projects include:

• Energy markets
• Excursions of Lévy processes and applications in finance and insurance
• Financial market with frictions
• Information asymmetry
• Interface between insurance and finance
• Lévy processes
• Optimal stopping
• Point processes in insurance and credit risk
• Quantile options and options based on occupation times
• Stochastic analysis and its applications in financial mathematics
• Stochastic control and analysis of partial differential equations in mathematical finance

This list is indicative only and by no means exhaustive. For more details about supervisors and their areas of research interests, please see the  Probability in Finance and Insurance research group . You will find links to the web pages of individual members of staff here. If you are interested in applying to undertake PhD research in probability in finance and insurance, you are welcome to contact one of these members of staff regarding a suitable topic for your research proposal. 

Social Statistics

PhD programmes of study in social statistics typically include both methodological development and the application of statistical methods to a social science field or to address new developments in social data, such as in sample surveys or social networks. Research topics may be identified in advance by the applicant or may be arrived at through communication with a potential supervisor. The relative emphasis on methodology/theory vs. application may vary. 

• Analysis of complex survey data
• Disclosure risk assessment and statistical disclosure control
• Estimation from survey data (and related data), taking account of nonresponse and using auxiliary information
• Latent transition and latent class models for modelling diagnostic tests
• Latent variable models and structural equation models for categorical data
• Longitudinal data analysis, especially event history (survival) analysis and dynamic panel models
• Modelling response strategies and detection of outliers in educational and behavioural sciences
• Multilevel simultaneous equations modelling of correlated social processes

For more details about potential supervisors and their areas of interest, visit the  Social Statistics research group . If you are interested in applying to undertake PhD research in social statistics, you are welcome to contact one of these members of staff regarding a suitable topic for your research proposal.

Time Series and Statistical Learning

PhD research in time series and statistical learning encompasses many aspects of these disciplines. We are keenly involved in both theoretical developments and practical applications. Current areas of interest include time series (including high-dimensional and non-stationary time series), data science and machine learning, networks (including dynamical networks), high-dimensional inference and dimension reduction, statistical methods for ranking data, spatio-temporal processes, functional data analysis, shape-constrained estimation, multiscale modelling and estimation and change-point detection.

Research topics may be identified in advance by the applicant or may be arrived at through communication with a potential supervisor. The relative emphasis on methodology/theory vs. application may vary.

Suggested PhD research areas include:

• Automating statistical advice
• Change detection for complex data
• Dimension reduction and factor modelling
• Estimation of stochastic volatility models
• Financial econometrics
• Functional data analysis including functional time series
• High-dimensional time series analysis
• High-dimensional variable selection
• Infectious disease modelling
• Inference for sequential data including change detection in multiple data streams
• Network time series analysis
• Nonparametric and semiparametric regression
• Non-stationary time series analysis
• Reinforcement learning for time-dependent data
• Robust statistical analysis for high-dimensional data
• Shape-constrained methods
• Spatial econometrics modelling
• Spatio-temporal modelling
• Statistical analysis of high-dimensional multi-type recurrent events

For more information, please see the  Time Series and Statistical Learning research group . 

PhD Programme Structure

PhD Your application

PhD Funding Opportunities

FAQs Frequently Asked Questions

PhD Handbook Our guide for current students

Past PhD students A listing of our PhD graduates

Visiting Research Students How to apply

PhD Academy A dedicated space for PhD students

Graduate Career Destinations What our PhD graduates have done next

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Statistics MPhil, PhD

We have a strong international reputation for making original contributions to Bayesian methodology, bioinformatics and biostatistics. We invite postgraduate research proposals in any of these three areas.

You are currently viewing course information for entry year:

Start date(s):

• September 2024
• January 2025

Join us for your MPhil or PhD in Statistics. You'll be supported by experts in your field, who'll act as your supervision team. Research training and development is also available to our postgraduates in this field.

To help you identify a topic and potential supervisor, take a look at our staff specialisms . You can also read about the PhD projects our postgraduate students have worked on. And a list of suggested statistical projects for postgraduate researchers is also available.

Our work can be broken down into the following research themes:

• Bayesian methodology for complex models
• Big data scalability and computation
• Biostatistics and stochastic systems biology
• Spatial and environmental statistics

We take on projects funded by:

• the Research Councils
• major trusts
• government departments

Important information

We've highlighted important information about your course. Please take note of any deadlines.

Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.

View our  Academic experience page , which gives information about your Newcastle University study experience for the academic year 2023-24.

See our  terms and conditions and student complaints information , which gives details of circumstances that may lead to changes to programmes, modules or University services.

Related courses

Qualifications explained.

Find out about the different qualification options for this course.

An MPhil is available in all subject areas. You receive research training and undertake original research leading to the completion of a 40,000 - 50,000 word thesis.

Find out about different types of postgraduate qualifications

A PhD is a doctorate or doctoral award. It involves original research that should make a significant contribution to the knowledge of a specific subject. To complete the PhD you will produce a substantial piece of work (80,000 – 100,000 words) in the form of a supervised thesis. A PhD usually takes three years full time.

How you'll learn

As a statistics PhD student you'll be supported by team supervision. You'll also go through a research training analysis to identify any skills that you need to develop.

Your attendance is flexible and will be agreed between you and your supervisors. This will depend on your research project requirements.

Depending on your modules, you'll be assessed through a combination of:

We offer a wide range of projects for the thesis. These will be provided by our academics. You can also propose your own topic.

Our mission is to help you:

• stay healthy, positive and feeling well
• overcome any challenges you may face during your degree – academic or personal
• get the most out of your postgraduate research experience
• carry out admin and activities essential to progressing through your degree
• understand postgraduate research processes, standards and rules

We can offer you tailored wellbeing support, courses and activities.

You can also access a broad range of workshops covering:

• research and professional skills
• careers support
• health and safety
• public engagement
• academic development

Find out more about our postgraduate research student support

Your development

Faculty of science, agriculture and engineering (sage) researcher development programme .

Each faculty offers a researcher development programme for its postgraduate research students. We have designed your programme to help you:

• perform better as a researcher
• boost your career prospects
• broaden your impact

Through workshops and activities, it will build your transferable skills and increase your confidence.

You’ll cover:

• techniques for effective research
• methods for better collaborative working
• essential professional standards and requirements

Your programme is flexible. You can adapt it to meet your changing needs as you progress through your doctorate.

Find out more about the SAgE researcher development programme

Doctoral training and partnerships

There are opportunities to undertake your PhD at Newcastle within a:

• Centre for Doctoral Training (CDT)
• Doctoral Training Partnership (DTP)

Being part of a CDT or DTP has many benefits:

• they combine research expertise and training of a number of leading universities, academic schools and academics.
• you’ll study alongside a cohort of other PhD students
• they’re often interdisciplinary
• your PhD may be funded

Find out more about doctoral training and partnerships

If there are currently opportunities available in your subject area you’ll find them when you search for funding in the fees and funding section on this course.

The following centres/partnerships below may have PhD opportunities available in your subject area in the future:

• Centre for Doctoral Training in Cloud Computing for Big Data
• Discovery Medicine North - MRC DiMeN Doctoral Training Partnership

Your future

Our careers service.

Our award-winning Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

Visit our Careers Service website

Quality and ranking

All professional accreditations are reviewed regularly by their professional body

From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK

Check the government’s website for more information .

Fees and funding

Tuition fees for 2024 entry (per year), home fees for research degree students.

For 2024-25 entry, we will be aligning our standard Home research fees with those set by UK Research and Innovation (UKRI) . The standard fee will be confirmed in Spring 2024 by UKRI. The Home tuition fees for this course will be updated after this confirmation. 

If your studies last longer than one year, your tuition fee may increase in line with inflation.

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support.

If you are unsure of your fee status, check out the latest guidance here .

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See  our   searchable postgraduate funding page  for more information.  

What you're paying for

Tuition fees include the costs of:

• matriculation
• registration
• tuition (or supervision)
• library access
• examination
• re-examination

Find out more about:

• living costs
• tuition fees

If you are an international student or a student from the EU, EEA or Switzerland and you need a visa to study in the UK, you may have to pay a deposit.

You can check this in the How to apply section .

If you're applying for funding, always check the funding application deadline. This deadline may be earlier than the application deadline for your course.

For some funding schemes, you need to have received an offer of a place on a course before you can apply for the funding.

Search for funding

Find funding available for your course

Entry requirements

The entrance requirements below apply to 2024 entry.

Qualifications from outside the UK

English language requirements, admissions policy.

This policy applies to all undergraduate and postgraduate admissions at Newcastle University. It is intended to provide information about our admissions policies and procedures to applicants and potential applicants, to their advisors and family members, and to staff of the University.

Download our admissions policy (PDF: 201KB) Other policies related to admissions

Credit transfer and Recognition of Prior Learning

Recognition of Prior Learning (RPL) can allow you to convert existing relevant university-level knowledge, skills and experience into credits towards a qualification. Find out more about the RPL policy which may apply to this course

• How to apply

Using the application portal

The application portal has instructions to guide you through your application. It will tell you what documents you need and how to upload them.

You can choose to start your application, save your details and come back to complete it later.

If you’re ready, you can select Apply Online and you’ll be taken directly to the application portal.

Alternatively you can find out more about applying on our applications and offers pages .

Open days and events

You'll have a number of opportunities to meet us throughout the year including:

• campus tours
• on-campus open days
• virtual open days

Find out about how you can visit Newcastle in person and virtually

Overseas events

We regularly travel overseas to meet with students interested in studying at Newcastle University.

Visit our events calendar for the latest events

• Get in touch

Questions about this course?

If you have specific questions about this course you can contact:

Postgraduate Secretary School of Mathematics, Statistics and Physics Telephone: +44 (0) 191 208 6960 Email: [email protected]

For more general enquiries you could also complete our online enquiry form.

Fill in our enquiry form

Our Ncl chatbot might be able to give you an answer straight away. If not, it’ll direct you to someone who can help.

You'll find our Ncl chatbot in the bottom right of this page.

Keep updated

We regularly send email updates and extra information about the University.

Receive regular updates by email

Chat to a student

Chat online with current students with our Unibuddy platform.

Social media

Get involved with the School of Mathematics, Statistics and Physics social media. 

• How You'll Learn
• Your Development
• Your Future
• Quality and Ranking
• Fees and Funding
• Entry Requirements
• Open days & events

Statistical Science

MPhil/PhD Statistical Science

The Statistical Science research programme at UCL aims to develop research students who can eventually make original contributions to the subject. Students are initially registered for the MPhil degree. No sooner than one year, they are transferred to the PhD degree with retrospective effect if they show a capacity for original work. The typical length of the PhD programme is three years for full-time students and five years for part-time students; an MPhil might be achievable in less.

• MPhil/PhD Statistical Science prospectus entry
• Research student profiles

The admissions process for the MPhil/PhD in Statistical Science operates on a rolling basis, with no fixed deadline for applications. Candidates should apply at least two months in advance of their intended start date.

The MPhil/PhD is accessible to students with, or expecting to achieve, a minimum of an upper second-class UK Bachelor’s degree, or a UK Master’s degree in statistics, mathematics, computer science or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable.

• Academic equivalencies

In addition to the academic requirements above, all students whose first language is not English must be able to provide recent evidence that their spoken and written command of the English language is adequate. For the MPhil/PhD in Statistical Science, applicants much reach at least the UCL standard level. Further information on this requirement is available at the link below.

• English Language qualifications accepted by UCL for graduate study

In applying for admission to the MPhil/PhD programme, candidates are expected to prepare an outline proposal of their work. This is crucial in identifying potential supervisors. Thus, candidates should peruse the research interests of staff before applying. A list of staff members currently accepting applications for PhD supervision is given below, including an indication of their current research interests and a link to their personal webpage.

It may be helpful to contact a potential supervisor before submitting a formal application. For more information on how to contact potential supervisors and write a research proposal please see UCL's guidance document . Applications on which no potential supervisor has been specified will still receive consideration, however, in such cases it would be especially important to demonstrate in your reasons for applying that your academic interests align with the Department's active research areas .

Unlike the taught Statistics MSc programme, the MPhil/PhD has no required curriculum. However, students are expected to agree on a customised programme of study with their supervisor, which may involve specialisation courses (either at UCL or at the London Taught Course Centre) or independent reading. Attendance at research seminars is encouraged, and students who have been upgraded to PhD status are required to present their research in a separate seminar stream once per year. Finally, the UCL Graduate School has its own requirements for training courses.

• London Taught Course Centre
• UCL Graduate School Training Requirements

Some departmental funding is usually available. UCL also offers a number of scholarships and other funding for UK, EU and overseas students undertaking research studies at the University. Further information, including eligibility criteria and application deadlines, can be found at the links below.

• Research studentships
• Funding for students on postgraduate research courses

For more information on the programme please contact:

Ms Marina Lewis stats.pgr-admissions AT ucl.ac.uk +44 (0)20 7679 1868

Please note that all professional services staff are currently working away from the office and are therefore unable to take phone calls on the number above.

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Statistics and Epidemiology

• Entry year 2024
• Duration Full time 36 Months, Part time 48 Months

CHICAS conducts research on the development of novel statistical and epidemiological methods and their applications. The methodological strengths of staff are in spatial statistics and longitudinal data analysis. The applied research spans a wide range of clinical settings both in the UK and internationally with collaborations in Europe, Africa, North America and South America.

Research topics can focus on either methodological development, substantive application, or a blend of the two. You will be allocated a space in a shared office and will be encouraged to attend and make presentations at scientific meetings both within the UK and overseas.

Your department

• Lancaster Medical School Faculty of Health and Medicine
• Telephone +44 (0)1524 592032

Entry requirements

Academic requirements.

2:1 Hons degree (UK or equivalent) with a substantial statistical and/or epidemiological component.

We may also consider non-standard applicants, please contact us for information.

If you have studied outside of the UK, we would advise you to check our list of international qualifications before submitting your application.

Additional Requirements

As part of your application you will also need to provide a viable research proposal. Guidance for writing a research proposal can be found on our writing a research proposal webpage.

English Language Requirements

We may ask you to provide a recognised English language qualification, dependent upon your nationality and where you have studied previously.

We normally require an IELTS (Academic) Test with an overall score of at least 6.5, and a minimum of 5.5 in each element of the test. We also consider other English language qualifications .

If your score is below our requirements, you may be eligible for one of our pre-sessional English language programmes .

Contact: Admissions Team +44 (0) 1524 592032 or email [email protected]

Fees and funding

The tuition fee for students with home fee status is set in line with the standard fee stipend provided by the UK Research Councils. The fee stipend for 2024/25 has not been set. For reference, the fee stipend for 2023/24 was full-time £4,712, part-time £2,356.

The international fee for new entrants in 2024/25 is full-time £26,490, part-time £13,245.

Depending on the nature of the research project, an additional programme cost may be charged. This additional fee will contribute towards the costs incurred on specific research projects. These costs could include purchasing specialist consumables, equipment access charges, fieldwork expenses and payments for transcription/translation services.  Normally any additional charge will not exceed a maximum of £9,720 but this could be increased in exceptional circumstances.

Applicants will be notified of any specific additional programme cost when the offer of a place is made.

General fees and funding information

There may be extra costs related to your course for items such as books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation, you may need to pay a subscription to a professional body for some chosen careers.

Specific additional costs for studying at Lancaster are listed below.

College fees

Lancaster is proud to be one of only a handful of UK universities to have a collegiate system. Every student belongs to a college, and all students pay a small College Membership Fee  which supports the running of college events and activities. Students on some distance-learning courses are not liable to pay a college fee.

For students starting in 2023 and 2024, the fee is £40 for undergraduates and research students and £15 for students on one-year courses. Fees for students starting in 2025 have not yet been set.

Computer equipment and internet access

To support your studies, you will also require access to a computer, along with reliable internet access. You will be able to access a range of software and services from a Windows, Mac, Chromebook or Linux device. For certain degree programmes, you may need a specific device, or we may provide you with a laptop and appropriate software - details of which will be available on relevant programme pages. A dedicated  IT support helpdesk  is available in the event of any problems.

The University provides limited financial support to assist students who do not have the required IT equipment or broadband support in place.

For most taught postgraduate applications there is a non-refundable application fee of £40. We cannot consider applications until this fee has been paid, as advised on our online secure payment system. There is no application fee for postgraduate research applications.

For some of our courses you will need to pay a deposit to accept your offer and secure your place. We will let you know in your offer letter if a deposit is required and you will be given a deadline date when this is due to be paid.

The fee that you pay will depend on whether you are considered to be a home or international student. Read more about how we assign your  fee status .

If you are studying on a programme of more than one year’s duration, the tuition fees for subsequent years of your programme are likely to increase each year. Read more about  fees in subsequent years .

Scholarships and bursaries

You may be eligible for the following funding opportunities, depending on your fee status and course. You will be automatically considered for our main scholarships and bursaries when you apply, so there's nothing extra that you need to do.

Unfortunately no scholarships and bursaries match your selection, but there are more listed on scholarships and bursaries page.

If you're considering postgraduate research you should look at our funded PhD opportunities .

We also have other, more specialised scholarships and bursaries - such as those for students from specific countries.

Browse Lancaster University's scholarships and bursaries .

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Important Information

The information on this site relates primarily to 2024/2025 entry to the University and every effort has been taken to ensure the information is correct at the time of publication.

The University will use all reasonable effort to deliver the courses as described, but the University reserves the right to make changes to advertised courses. In exceptional circumstances that are beyond the University’s reasonable control (Force Majeure Events), we may need to amend the programmes and provision advertised. In this event, the University will take reasonable steps to minimise the disruption to your studies. If a course is withdrawn or if there are any fundamental changes to your course, we will give you reasonable notice and you will be entitled to request that you are considered for an alternative course or withdraw your application. You are advised to revisit our website for up-to-date course information before you submit your application.

More information on limits to the University’s liability can be found in our legal information .

Our Students’ Charter

We believe in the importance of a strong and productive partnership between our students and staff. In order to ensure your time at Lancaster is a positive experience we have worked with the Students’ Union to articulate this relationship and the standards to which the University and its students aspire. View our Charter and other policies .

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Lancaster is easy to get to and surrounded by natural beauty.

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Our campus and the surrounding area is a great place to call home.

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Build your global community on campus and around the world.

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Imperial College London Imperial College London

Latest news.

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• Postgraduate taught

Statistics (Biostatistics)

Develop your appreciation of statistical theory and methods and its relevance to biology and medicine.

Develop your appreciation of statistical theory and methods and its relevance to biology and medicine

Get industry recognition with an accredited degree

Complete an extensive research project exploring a state-of-the-art research problem related to biostatistics

Course key facts

Qualification, september 2024, £20,500 home, £34,350 overseas, delivered by, department of mathematics, south kensington, minimum entry standard, 2:1 in statistics, mathematics, engineering, physics or computer science, course overview.

Develop and apply statistical theory and methods related to the field of biostatistics on this Master's course.

You'll examine real problems arising in biology and medicine and current trends and developments in this area of study.

You'll also carry out an independent investigation using research techniques acquired on the programme.

This will consider a state-of-the-art research problem, and is carried out alongside a member of academic staff.

Biostatistics is one of six Statistics streams available at Imperial.

You may wish to consider our General stream, or specialist streams in Applied Statistics, Data Science, Statistical Finance and Theory and Methods.

Testimonials

This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.

Find out more about potential course changes .

Please note:  it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.

Core modules

Optional modules.

• Statistics Research

You'll take all of these core modules.

Probability for Statistics

Assess the key concepts of probability theory and learn how random variables and vectors and their distribution functions are defined.

Fundamentals of Statistical Inference

Appreciate different Bayesian and frequentist approaches to statistical inference and select and justify appropriate methods for hypothesis testing.

Applied Statistics

Examine statistical modelling and regression and apply it to realistic problems and real data.

Computational Statistics

Engage with a number of computational methods that are key in modern statistics and learn to implement and apply these methods confidently.

Biomedical Statistics

Learn how to analyse biomedical data and design and analyse clinical trials.

Statistical Genetics and Bioinformatics

Appreciate the importance of handling high dimensional datasets, through the analysis of genetics (genomics) and bioinformatics data.

You’ll choose three or four optional modules for a total of 20-22.5 ECTS.

You can choose a maximum of two modules each worth 7.5 ECTS. Each module is worth 5 ECTS unless otherwise stated.

Contemporary Statistical Theory

Discuss key developments in contemporary statistical theory and examine analytic methods used in the development of statistical theory and methodology.

Bayesian Methods

Understand the relative advantages of the frequentist and Bayesian approaches to statistical analysis and apply appropriate Bayesian data analyses.

Multivariate Analysis

Build familiarity with multivariate analysis by exploring concepts including standard multivariate notations, the covariance matrix, and multivariate normal distribution.

Machine Learning

Build your understanding of statistical pattern recognition and machine learning and analyse state-of-art approaches.

Introduction to Statistical Finance

Explore fundamental concepts of quantitative finance and statistical methods that are widely used to analyse financial data.

Advanced Statistical Finance

Further your understanding of statistical finance by engaging with modern statistical methods for analysis of financial data.

Design and develop data analysis procedures using Big Data technology and use it to perform a rigorous statistical analysis.

Advanced Simulation Methods

Gain a basic understanding of simulation, along with its uses and limitations, and the models for which basic or sophisticated simulation methods can be applied.

Data Science

Become familiar with the most common data scientific methods and their uses and misuses.

Deep Learning with TensorFlow

Explore the building blocks of deep learning models, and how to design network architectures for specific applications.

Nonparametric Statistics

Evaluate the strengths and weaknesses of nonparametric methods as flexible data-adaptive alternatives to parametric modelling.

Stochastic Processes

Study stochastic processes and the basic tools from stochastic analysis that provide the mathematical foundations for option pricing theory.

Time Series Analysis (7.5 ECTS)

Examine discrete time stochastic processes and associated computational algorithms and approaches.

Survival Models (7.5 ECTS)

Discover why survival models are fundamental to actuarial work and explore key actuarial applications

Mathematical Foundations of Machine Learning

Learn the mathematical foundations and put into practice how and why machine learning and deep learning algorithms often work so impressively well.

You'll also complete an extensive research project full-time between May and September, exploring an area of biostatistics. 

This will include an opportunity to work with a member of academic staff on a state-of-the-art research problem that suits your interests.

Professional accreditation

Our MSc in Statistics is accredited by the  Royal Statistical Society .

Graduates from accredited degrees can apply to the Royal Statistical Society for the professional award of Graduate Statistician. Graduates from non-accredited courses may also apply for this status and will be considered on an individual basis.

Teaching and assessment

Balance of teaching and learning.

• Lectures, tutorials and practicals
• Research project
• 67% Lectures, tutorials and practicals
• 33% Research project

Teaching and learning methods

Balance of assessment.

• 67% Modules

Assessment methods

Entry requirements.

We consider all applicants on an individual basis, welcoming students from all over the world.

• Minimum academic requirement
• English language requirement
• International qualifications

2:1  in statistics, mathematics, engineering, physics or computer science.

Please note that we receive many more applications than we can accommodate. Nearly all successful applicants hold a First Class degree in any of the eligible undergraduate degrees, and all successful applicants holding an undergraduate degree outside the mathematical sciences have substantive knowledge and experience in theoretical mathematical topics. We do not consider applications that place the MSc in Statistics course as second choice.

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the  higher College requirement  in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the  English language requirements .

We also accept a wide variety of international qualifications.

The academic requirement above is for applicants who hold or who are working towards a UK qualification.

For guidance see our accepted qualifications  though please note that the standards listed are the  minimum for entry to the College , and  not specifically this Department .

If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team .

How to apply

Apply online.

You can submit one application form per year of entry. You can choose up to two courses.

Application fee

There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas, or courses such as PhDs and EngDs.

If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.

The fee applies per application and not per course.

• £80 for all taught Master's applications, excluding those to the Imperial College Business School.
• £100 for all MSc applications to the Imperial College Business School.
• £150 for all MBA applications to the Imperial College Business School.

If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver.

Read full details about the application fee and waiver

Application process

Find out more about  how to apply for a Master's course , including references and personal statements.

We do not interview for applicants for entry to this programme. 

Course choices

When you apply, you will be able to choose your stream of choice.

If you are applying for the general stream of this course, we are only able to consider your application if you choose this as your first course choice.

If you are applying for one of the specialisation streams, please select the stream as your first course choice and we will automatically consider you for the general stream if your chosen specialisation is full.

ATAS certificate

An ATAS certificate  is not  required for students applying for this course.

Tuition fees

Overseas fee, inflationary increases.

You should expect and budget for your fees to increase each year.

Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.

Find out more about our  tuition fees payment terms , including how inflationary increases are applied to your tuition fees in subsequent years of study.

Which fee you pay

Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out  how we assess your fee status .

Postgraduate Master's Loan

If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a  Postgraduate Master’s Loan  from the UK government, if you meet certain criteria.

The government has not yet published the loan amount for students starting courses in Autumn 2024. As a guide, the maximum value of the loan was £12,167 for courses starting on or after 1 August 2023. 

The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.

Martingale Scholarships

The Martingale Foundation are offering fully funded scholarships for eligible students on selected Mathematics courses.

Martingale Scholarships: Full details and how to apply

Closing date: 25 October 2023

How will studying at Imperial help my career?

Develop highly transferable skills that will prepare you for further study or a career using biostatistics.

These include skills in programming, problem-solving, critical thinking, scientific writing, project work and presentation.

Mathematics graduates at Imperial are highly sought after in a wide array of employment and research sectors.

These include banking and finance, accountancy, education, and IT and technology.

Further links

Contact the department.

• Email:  [email protected]

Course Director:  Dr Oliver Ratmann

Visit the Department of Mathematics website.

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There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

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About the PhD in Biostatistics Program

The PhD in Biostatistics provides training in the theory of probability and statistics in biostatistical methodology. The program is unique in its emphasis on the foundations of statistical reasoning and data science. Students complete rigorous training in real analysis-based probability and statistics, equivalent to what is provided in most departments of mathematical statistics and in advanced data science.

PhD candidates are required to pass a comprehensive written examination covering coursework completed at the end of their first year. Research leading to a thesis may involve development of new theory and methodology, or it may be concerned with applications of statistics and probability to problems in public health, medicine or biology.

Application Fee Waivers: We are able to offer a limited number of application fee waivers. Learn about the eligibility criteria and how to apply for a waiver .

PhD in Biostatistics Program Highlights

Conduct and publish original research.

on the theory and methodology of biostatistics

Apply innovative theory and methods

to the solution of public health problems

Serve as an expert biostatistician

on collaborative teams of investigators addressing key public health questions

Teach biostatistics effectively

to health professionals and scientists as well as to graduate students in biostatistics

What Can You Do With a PhD In Biostatistics?

Sample careers.

• Assistant Professor
• Postdoctoral Fellow
• Data Scientist
• Statistician
• Biostatistician

Curriculum for the PhD in Biostatistics

Browse an overview of the requirements for this PhD program in the JHU  Academic Catalogue  and explore all course offerings in the Bloomberg School  Course Directory .

Admissions Requirements

For general admissions requirements, please visit the How to Apply page. This specific program also requires:

Prior Coursework

Calculus and linear algebra; accepted applicants are also strongly encouraged to take real analysis before matriculating

Standardized Test Scores

Standardized test scores are  not required and not reviewed  for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to submit your scores, please note that they will not be used as a metric during the application review.  Applications will be reviewed holistically based on all required application components.

Vivien Thomas Scholars Initiative

The  Vivien Thomas Scholars Initiative (VTSI)  is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically Black college and university (HBCU) or other minority serving institution (MSI) for undergraduate study are eligible to apply. To be considered for the VTSI, you will need to submit a SOPHAS application ,VTSI supplementary materials, and all supporting documents (letters, transcripts, and test scores) by December 1, 2023. VTSI applicants are eligible for an  application fee waiver , but the fee waiver must be requested by November 15, 2023 and prior to submission of the SOPHAS application.

Admitted PhD students are automatically considered for full funding, including five years of full tuition coverage, a paid research assistantship and individual health insurance.

Need-Based Relocation Grants Students who  are admitted to PhD programs at JHU starting in Fall 2023 or beyond can apply to receive a $1500 need-based grant to offset the costs of relocating to be able to attend JHU.   These grants provide funding to a portion of incoming students who, without this money, may otherwise not be able to afford to relocate to JHU for their PhD program. This is not a merit-based grant. Applications will be evaluated solely based on financial need.  View more information about the need-based relocation grants for PhD students .

Questions about the program? We're happy to help. 

Academic Administrator Mary Joy Argo 410-614-4454 [email protected]

SPHHS Announces 2024 Research Day Award Winners

Research day is a showcase for the research and practice conducted by students in all of its departments..

The School of Public Health and Health Sciences held its annual Research Day on April 17, 2024, in the Campus Center Auditorium. Now in its 27th year, SPHHS Research Day is a showcase for the research and practice conducted by students in all of its departments. Undergraduate and graduate students, as well as postdoctoral researchers, are invited to present their work to faculty, staff, peers, and the broader community. 

This year’s event included two separate sessions comprised of a total of 102 poster presentations. Participants spanned all departments and academic levels – including undergraduate, masters, and doctoral presenters – and served to highlight the depth and breadth of SPHHS student research. The day’s program also featured a keynote talk from Biostatistics alumnus Mark Chang ’98 MS, PhD and faculty presentations by Christine St. Laurent, Song Liang, and Chaoran Ma.

"Yesterday's event was spectacular,” says Dean Anna Maria Siega-Riz. “The enormous participation by our students and faculty exceeded our expectations. It was an amazing display of the far-ranging research being done in the school by our faculty and the students who they are mentoring in their labs. I know that this type of mentoring and excellence in research takes time and, for many faculty, it is this passion that keeps them here. "

“Research Day 2024 was a great showcase for the outstanding work of students and faculty mentors in SPHHS, and the incredible diversity of research all aimed at addressing health and wellbeing,” adds Brian Whitcomb, Associate Dean of Research. “Many thanks to the students – over 102! – who presented their work at the event. Thanks and gratitude, also, to members of the Research Committee, faculty judges, and SPHHS staff whose contributions to organization and coordination were critical to the success of this year’s ambitious, exciting, expanded program.”

The student presenters participated in a faculty-juried poster session based on content and presentation. This year, the SPHHS awarded a total of eight prizes: travel awards for best presentation in health sciences and in public health; three graduate student research awards; and three undergraduate student research awards.

The 2024 Research Day Travel Award winners are:

• 1st place (Research Category - Health Sciences): Brent Momb, Kinesiology, PHD . Distinct skeletal muscle fiber-type contractile response to fatigue at 37°C in older adults. Faculty sponsor: Mark Miller.
• 1st place (Research Category - Public Health): Chi Zhao, Biostatistics & Epidemiology, PHD . Associations of combined genetic and lifestyle risks with incident type 2 diabetes in the UK Biobank. Faculty sponsor: Cassandra Spracklen.

The 2024 Research Day Graduate Student Poster Award winners are:

• 1st place: Barbara E. Mottey, Environmental Health Sciences, PhD . 4 years trend in find particular matter (PM2.5) and black carbon pollution in Accra, Ghana. Faculty sponsor: Raphael Arku.
• 2nd place: Carissa Lange, Environmental Health Sciences, PHD . Characterizing air and noise pollution within the Accra School Health and Environment Study (ASHES). Faculty sponsor: Raphael Arku.
• 3rd place: Rachel Wacks, Biostatistics & Epidemiology, PHD . Preliminary results on the joint effect of maternal smoking patterns during pregnancy and pre-pregnancy BMI on infant birth outcomes. Faculty sponsor: Cassandra Spracklen.

The 2024 Research Day Undergraduate Student Poster Award winners are:

• 1st place: Sean T. Bannon, Kinesiology, BS . Hyperthermia treatment attenuates diet-induced obesity and insulin resistance in old female and ovariectomized mica var TRPV1-mediated futile calcium cycling. Faculty sponsor: Soonkyu Chung.
• 2nd place (tie): Molly Fabrizio and Aaryan Chaudhry, Mechanical Engineering and Biochemical Engineering, BS . Neural investigation of exoskeleton-assisted walking. Faculty sponsor: Douglas Martini.
• 2nd place (tie): Abigail Grimm, Public Health Sciences, BS . Examining bullying, social support, and mental health outcomes among transgender and genderqueer adolescents. Faculty sponsor: Elizabeth Bertone-Johnson.
• 3rd place: Rakan Rafat Rihani, Kinesiology, BS . Running economy in steep uphill locomotion: the impact of shoes with and without embedded carbon fiber plates. Faculty sponsor: Wouter Hoogkamer.

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One Day for UK 2024 CPH General Scholarship Fund

For 24 hours on Thursday, April 18, 2024, our University of Kentucky community will come together to celebrate the university’s giving day, One Day for UK, and support their favorite college, program or cause.

Join the UK College of Public Health on One Day for UK and help us continue the mission of developing health champions, conducting multidisciplinary and applied research, and collaborating with partners to improve health in Kentucky and beyond!

This year, on One Day for UK, we are asking for our community to support the CPH General Scholarship Fund, which provides scholarship funding for students pursuing a bachelor, master’s or doctoral level degree in all academic programs within the College of Public Health.

Interested in giving on One Day for UK: Visit onedayforuk.uky.edu/publichealth

You may also target your gift toward a specific discipline in the college.

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