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The University of Southampton
Mathematical SciencesPostgraduate study

MSc in Statistics with Applications in Medicine (1 year)

An MSc is generally accepted as being highly desirable for starting and developing a career in Medical Statistics. The MSc in Statistics with Applications in Medicine is also an excellent preparation for embarking on a PhD project in Statistics or Medical Statistics.

The MSc in Statistics with Applications in Medicine, taught by one of the largest and most active Statistics groups in the UK, will provide you with a sound Masters-level training in statistical methodology, with an emphasis on solving practical problems arising in the context of collecting and analysing medical data. Several modules are delivered by Medical Statisticians, who can provide data and case studies from their own day to day work at Southampton General Hospital and the Medical Research Council Lifecourse Epidemiology Unit.

While studying for your degree, you will develop key transferrable skills, such as written and oral communication, the use of, and programming in, statistical software, time management, and fundamental research skills.

Programme objectives are:

  • to give you knowledge of statistical theory and methods at an advanced level
  • to train you for a career as a statistician, particularly in areas related to medicine
  • to give you experience of applications of statistical methods
  • to enable you to develop oral and written communication skills


Past graduates have joined major pharmaceutical companies, research teams at the Medical Research Council, university-based medical research units, contract research organisations, government, the financial sector, or have continued with further study to become successful PhD students.

Part-time study:

The course may be taken over 27 months, with approximately equal amounts of ECTS/CATS credits studied in each year.

Introducing your course

The ever-increasing amount and range of patient data presents the pharmaceutical industry and medical research institutions with significant challenges and great opportunities. Medical Statisticians design and analyse clinical trials for new treatments; they help to identify the genes responsible for disease and they developing methodology to enable advances in personalised medicine.

Their work underpins scientific breakthroughs that will be life-saving for many. In the MSc in Statistics with Applications in Medicine you will examine new developments in challenging medical data problems through the study of clinical trials, statistical genetics and epidemiological methods.

The full-time MSc is completed over a 12-month period. There are two semesters of taught material, which account for 60 ECTS credits, followed by the MSc project in summer, which accounts for 30 ECTS credits.

The programme structure allows you to select options ranging from the more theoretical aspects of Statistics, including a module on research topics, to those which cover material focussed on practical applications of Statistics in a clinical setting. This is complemented by modules on research skills, a Statistics seminar series providing insight into the role of Medical Statisticians, amongst others, in various different careers (which also gives opportunities for networking with the speakers), and several presentations on transferrable skills by the University Careers and Employability Service Team.

View the programme specification for this course for 2018/19 entrants

View the programme specification for this course for 2019/20 entrants

To Apply

University application form with references (Online application here);

Programme Structure

Core/Compulsory modules: Statistical Theory and Linear Models; Statistical Computing; Design of Experiments; Generalised Linear Models; Clinical Trials; Epidemiological Methods; Survival Analysis; Research Skills

Option modules: e.g. Bioinformatics; Statistical Genetics; Topics in Statistics (research-led); Modelling Hierarchical (Multi-level and Longitudinal) Data; Computer Intensive Statistical Methods; Multivariate Analysis; Survey Methods; Bayesian Methods

A highlight of the programme is the 3-month dissertation completed over the summer, which will provide an opportunity to study a topic of your choice more deeply. Some projects are provided by pharmaceutical companies, while others are set and supervised by Medical Statisticians at the General Hospital here in Southampton to give you first hand experience of their work. There will also be a broad range of further Statistical topics available, reflecting the diverse research areas of our staff.

Key Facts

Assessment: Examination, coursework, dissertation

Start date: Late September

Applying: University application form with transcripts, two references

Closing date: None, but studentships may not be available later in the application year

Photo of Yingbo Wang
Mathematics and statistics, for me, is no longer just about getting the right answer on paper. It is about safeguarding the validity and integrity of clinical trials which have a huge impact on healthcare.
Yingbo WangMSc Statistics with Applications in Medicine


  • The 2017 QS subject world rankings places Statistics and Operational Research at Southampton in the top 100.
  • The Statistics group

Typical entry requirements

Selection process

Intake: 25

Average applications per place: 4

The usual entry requirement is at least an upper second-class honours degree from a recognised university involving units in both Mathematics and Statistics. Each application is considered on its individual merits. Motivation and relevant post-graduation experience in a statistical environment are important factors that are taken into account.

Other qualifications can be considered, e.g. professional development courses provided by the Royal Statistical Society, other professional training courses in Statistics, or short courses/tutorials associated with Statistics conferences. Therefore candidates should send full details of their training in Mathematics and Statistics with their application.

IELTS score of at least 6.5 overall, with at least 6.0 in each component (intensive summer language course available if required).

This page contains specific entry requirements for this course. Find out about equivalent entry requirements and qualifications for your country.

Typical course content

In addition to the core, compulsory and optional modules listed below, you will also be required to complete a 3-month dissertation over the summer.

Most modules consist of twenty-four or twelve 45 minute lectures, often supported by supervised practical sessions.

Year 1

Core [?]
A core module is a module which must be taken and passed.
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
Credits are based on the Credit Accumulation and Transfer Scheme (CATS).

Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if s/he takes full advantage of the learning opportunities that are provided. More detailed information can be found in the programme handbook (or other appropriate guide or website).

Tuition fees

List of tuition fees for this course and it's variations
NameAwardYear of entryMode of studyUK/EUInternational
Statistics with Applications in Medicine MSc 2019Full-time£9,250£18,104
Statistics with Applications in Medicine MSc 2019Part-time£4,625£9,052
View the full list of course fees


Scholarships, bursaries, sponsorships or grants may be available to support you through your course. Funding opportunities available to you are linked to your subject area and/or your country of origin. These can be from the University of Southampton or other sources.

Explore funding opportunities

Costs associated with this course

Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.

There will also be further costs for the following, not purchasable from the University:

EquipmentApproved Calculators: Candidates may use calculators in the examination room only as specified by the University and as permitted by the rubric of individual examination papers. The University approved model is Casio FX-570 This may be purchased from any source and no longer needs to carry the University logo.
StationeryYou will be expected to provide your own day-to-day stationary items, e.g. pens, pencils, notebooks, etc. Any specialist stationery items will be specified under the Additional Costs tab of the relevant module profile.
BooksWhere a module specifies core texts these should generally be available on the reserve list in the library. However due to demand, students may prefer to buy their own copies. These can be purchased from any source. Some modules suggest reading texts as optional background reading. The library may hold copies of such texts, or alternatively you may wish to purchase your own copies. Although not essential reading, you may benefit from the additional reading materials for the module.
EquipmentIT - Software Licences: The software required for the programme (SAS, R, Stata) is available on all public workstations on campus, and accessible from your own computer via VPN.
Printing and copyingIn the majority of cases, coursework such as essays; projects; dissertations is likely to be submitted on line. However, there are some items where it is not possible to submit on line and students will be asked to provide a printed copy. A list of the University printing costs can be found here:
Printing and copyingMATH6031 Statistics Project: You will be expected to meet the costs for printing and binding 2 copies of your dissertation. Information on Dissertation binding/costs can be found here:

In some cases you'll be able to choose modules (which may have different costs associated with that module) which will change the overall cost of a programme to you. Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at

The programme is taught through a mixture of lectures, computer workshops, case studies and project work. Assessment is made using examinations, presentations, coursework assignments and a final dissertation.

The use of statistical models and their interpretation is fundamental to statistical methodology, and this is emphasised throughout the teaching and learning experience. Computer work is an integral part of the programme and enters in several modules in different ways. Specialist computer packages are used with an emphasis on SAS and R, which are the main systems that a Medical Statistician would be expected to use.

Having successfully completed this programme you will be able to:


  1. synthesise various statistical techniques to carry out and interpret Statistical analyses,
  2. statistically design an experiment and conduct the appropriate analysis in new or unfamiliar environments,
  3. write a statistical report on a data analysis topic, clearly giving your conclusions and the rationale for your approach,
  4. discuss and communicate statistical ideas orally and in written form to specialist and non-specialist audiences,
  5. critically assess the use of particular statistical techniques in practice,
  6. synthesise relevant materials acquired from the library and internet,
  7. use computer packages to carry out a large variety of statistical data analysis techniques.

Study locations

Highfield Campus

Highfield Campus

Mathematics is based on the University's Highfield Campus in Building ...Find out more

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