About this course
Develop your problem-solving skills and knowledge of statistical methods on this MSc in Statistics with Applications in Medicine at the University of 天发娱乐棋牌_天发娱乐APP-官网|下载. Learn how to collect and analyse medical data, and gain transferable skills such as research methodology and programming statistical software. Prepare for a career in medical statistics or further study at PhD level.
Medical statisticians play a vital role in healthcare, and their work informs many lifesaving medical breakthroughs. Their work includes:
- design and analysis of clinical trials for new treatments
- identifying the genes responsible for disease
- developing methodology to enable advances in personalised medicine
As a qualified medical statistician, you’ll be able to help the pharmaceutical industry tackle the challenges presented by increasingly complex patient data.
On this UK master’s course you’ll learn how to deal with these challenges through the study of clinical trials, statistical genetics and epidemiological methods.
You’ll gain advanced knowledge of statistical theory and methods. We’ll teach you how to apply those methods to solve practical problems around the collecting and analysis of medical data.
Much of the course is taught by medical statisticians, who provide data and case studies from their work at 天发娱乐棋牌_天发娱乐APP-官网|下载 General Hospital and the Medical Research Council Lifecourse Epidemiology Unit.
Flexible study
If you prefer, you can apply to study this course as:
- a part-time master's - study the same course content over 2 or more years
Your modules and fees may vary if you choose a different study option.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
天发娱乐棋牌_天发娱乐APP-官网|下载 courses are regulated in England by the Office for Students (OfS).
Course lead
Your course leader is Professor Wei Liu. His research interests include simultaneous inference, multiple testing and sequential methods. Read Professor Liu’s staff profile to find out more about his work.
Learn more about this subject area
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the University of 天发娱乐棋牌_天发娱乐APP-官网|下载.
天发娱乐棋牌_天发娱乐APP-官网|下载 the Course Description Document
The Course Description Document details your course overview, your course structure and how your course is taught and assessed.
Entry requirements
You'll need a 2.1 degree which has a high maths content and you must have high grades in mathematical and statistics modules.
We also consider other qualifications, such as:
- professional development courses provided by the Royal Statistical Society
- professional training courses in statistics
- short courses or tutorials associated with statistics conferences
Find the equivalent international qualifications for your country.
English language requirements
If English isn't your first language, you'll need to complete an International English Language Testing System (IELTS) to demonstrate your competence in English. You'll need all of the following scores as a minimum:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
We accept other English language tests. Find out which English language tests we accept.
If you don’t meet the English language requirements, you can achieve the level you need by completing a pre-sessional English programme before you start your course.
Pre-masters
If you don’t meet the academic requirements, you can complete a pre-master's programme through our partnership with OnCampus. Learn more about the programmes available.
Recognition of professional experience
If you don't have the exact entry requirements, but you have significant work experience in this sector we’ll assess your relevant professional experience, your subject knowledge and your aptitude for learning.
Your application will be considered on individual merit and you may be asked to attend an interview.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
The full-time master’s course lasts for a full 12 months.
For the first 8 months (semesters 1 and 2) you'll focus on the taught part of your course.
Each semester is made up of a combination of modules that everyone on the course takes, and modules that we’ll ask you to choose from a list of options.
For the rest of the course, you’ll work independently on your research project and dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
Want more detail? See all the modules in the course.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
For entry in academic year 2025 to 2026
Year 1 modules
You must study the following modules :
Case Study 1
MSc SAM/STATS Case Study 1 gives MSc SAM/STATS students the opportunity to conduct and gain experience of an in-depth open-ended statistical investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their ow...
Case Study 2
MSc SAM/STATS Case Study 2 gives MSc SAM/STATS students the opportunity to conduct and gain experience of an in-depth open-ended statistical investigation. The main purpose is to develop students’ skills in: identifying, organising, and directing their ow...
Computationally Intensive Statistical Methods
Design of Experiments
When planning experiments, it is essential that the data collected are as relevant and informative as possible. The statistical principles for the design of experiments include the choice of optimal or good treatments sets and appropriate replication of t...
Generalised Linear Models
This module aims to introduce students to a wide range of statistical models grouped by the unifying theory of generalized linear models: linear, logistic, multinomial, cumulative ordinal and Poisson regression, as well as log-linear models are presented,...
Likelihood and Bayesian Inference
This module develops methods for conducting inference about parametric statistical models. The techniques studied are general and applicable to a wide range of statistical models, including simple models for identically distributed responses and regressio...
Research Communication Skills
This modules teaches the basic principles of research communication skills. It covers essential scientific writing skills including, organization of written material, presentation of quantitative information, citation and referencing, and academic integri...
Statistical Computing in R
The module provides an introduction to statistical programming in R. The module consists of lectures and computer labs for students to gain hands-on experience of statistical programming.
Statistical Seminar Series I
Statistical Seminar Series II
Statistics Project
The Statistics Project gives MSc students to conduct an in-depth study, either of a particular advanced statistical methodology, or of the application of one or more methods to real applied problems. The aim is to develop skills of organising work, identi...
Survival Models
This module introduces some of the fundamental ideas and issues of lifetime and time-to-event data analysis, as used in actuarial practice, biomedical research and demography Co-Requisite: MATH6122
You must also choose from the following modules :
Clinical Trials
This module provides an introduction to the statistical challenges arising in planning and conducting clinical trials. The main topics will cover: Clinical Trials of Parallel or cross-over design; Randomization, Treatment Comparison and Confidence Interv...
Epidemiological Methods
This module introduces students to the main concepts involved in epidemiological analyses. The main epidemiological study designs are introduced and two lectures focus on methods used to analyse case-control studies whilst another two focus on cohort stu...
Flexible Regression
This module will introduce and develop flexible statistical modelling methods that allow for general and complex forms of data to be modelled, extending ideas already encountered in earlier modules on linear and/or generalised linear modelling. The two ma...
Introduction to Python
This module aims to teach students the fundamentals of writing structured computer programs, applicable using any high level programming language. However, students will be shown the special features of Python that makes this language especially useful fo...
Machine Learning
The purpose of the module will be to introduce students to the fundamentals of machine learning, i.e. computational methods for statistical learning, prediction and decision-making using data. The basic principles of predictive modelling will be outlined,...
Statistical Genetics
Statistical genetics has played a pivotal role in the discovery of genes that cause disease in humans. This module introduces the basic concepts and terms in genetics and demonstrates the use of statistical models to identify disease genes in humans.
Learning and assessment
Learning
The learning activities for this course include:
- lectures
- computer workshops
- case studies
- project work
Assessment
We’ll assess you through:
- written exams
- presentations
- coursework
- a dissertation
Dissertation
You’ll carry out a research project on a particular area of statistics, and present your findings in a dissertation.
The project, to be agreed with your supervisor, is a chance for you to develop your research skills and show in-depth knowledge of your chosen subject.
Some projects are provided by our pharmaceutical partners, while others are set and supervised by medical statisticians at 天发娱乐棋牌_天发娱乐APP-官网|下载 General Hospital, allowing you to gain first-hand experience of their work.
You’ll have regular meetings with your supervisor to discuss your progress.
Academic Support
We'll assign you a personal academic tutor, and you'll have access to a senior tutor.
Careers and employability
Employability skills
This degree will allow you to develop and evidence subject-specific and targeted employability skills. This includes the required skill set for a range of future careers, further study, or starting your own business.
The skills you can expect to focus on and gain from this course include:
- Research
- Critical thinking
- Self-management
- Communication
- Problem solving
The employability and enterprise skills you'll gain from this course are reflected in the 天发娱乐棋牌_天发娱乐APP-官网|下载 skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
天发娱乐棋牌_天发娱乐APP-官网|下载 skills overview
Career pathways
Graduates commonly work in a range of organisations or sectors including:
Education,
Engineering,
Finance,
Banking,
Accountancy,
Government,
Insurance,
IT,
Business consultancy,
Marketing,
Market research,
Health,
Research,
Not-for-profits/charities.
- Statistician
- Medical Statistician
- Operational researcher
- Data analyst
- Data scientist
- Financial risk analyst
- Investment analyst
- Market researcher
- Research scientist
- Business analyst
- Economist
- Academic researcher
- Financial manager
- Machine learning engineer
- Management consultant
- Meteorologist
- Actuary
- Actuarial analyst
- Statistician
- Medical statistician
- Clinical trials researcher
- Data analyst administrator
- Research associate
- Risk analyst
- Data scientist
- University lecturer
- Finance analyst
- Policy advisor
Job prospects for MSc Statistics with Applications in Medicine graduates
*Example graduate job titles and job prospect statistics taken from The Graduate Outcomes Survey, which gathers information about the activities and perspectives of graduates 15 months after finishing their course.
Work experience opportunities
Choosing to do work experience is a great way to enhance your employability, build valuable networks, and evidence your potential. Learn about the different work and industry experience options at 天发娱乐棋牌_天发娱乐APP-官网|下载.
Careers services and support
We are a top 20 UK university for employability (QS Graduate Employability Rankings 2022). 天发娱乐棋牌_天发娱乐APP-官网|下载 Careers, Employability and Student Enterprise team will support you. This support includes:
- work experience schemes
- CV and interview skills and workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a vibrant entrepreneurship culture and our dedicated start-up supporter, Futureworlds, is open to every student.
Your career ideas and graduate job opportunities may change while you're at university. So it is important to take time to regularly reflect on your goals, speak to people in industry and seek advice and up-to-date information from Careers, Employability and Student Enterprise professionals at the University.
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay ?9,250.
- EU and international students pay ?25,400.
Deposit
If you're an international student on a full-time course, we'll ask you to pay ?2,000 of your tuition fees in advance, as a deposit.
Your offer letter will tell you when this should be paid and provide full terms and conditions.
Find out about exemptions, refunds and how to pay your deposit on our tuition fees for overseas students page.
What your fees pay for
Your tuition fee covers the full cost of tuition and any exams. The fee you pay will remain the same each year from when you start studying this course. This includes if you suspend and return.
Find out how to pay your tuition fees.
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Explore:
10% alumni discount
If you’re a graduate of the University of 天发娱乐棋牌_天发娱乐APP-官网|下载, you could be eligible for a 10% discount on your postgraduate tuition fees.
Postgraduate Master’s Loans (UK nationals only)
This can help with course fees and living costs while you study a postgraduate master's course. Find out if you're eligible.
天发娱乐棋牌_天发娱乐APP-官网|下载 Mathematics Postgraduate International Scholarship
A scholarship of ?3,000 is available to international students studying for a postgraduate master’s in Mathematics.
Find out more about the 天发娱乐棋牌_天发娱乐APP-官网|下载 Mathematics Postgraduate International Scholarship, including eligibility and conditions.
Other postgraduate funding options
A variety of additional funding options may be available to help you pay for your master’s study. Both from the University and other organisations.
Funding for EU and international students
Find out about funding you could get as an international student.
How to apply
- Use the blue 'apply for this course' button on this page to take you to our postgraduate admissions system.
- Create an account which gives you access to your own application portal. .
- Search for the course you want to apply for.
- Complete the application form and upload any supporting documents.
- Pay the ?50 application assessment fee, (there are some exemptions, check terms and conditions).
- Submit your application.
For further details of our admission process, read our step by step guide to postgraduate taught applications.
Application deadlines
UK students
The deadline to apply for this course is Tuesday 9 September 2025, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
International students
The deadline to apply for this course is Tuesday 26 August 2025, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
Application assessment fee
We’ll ask you to pay a ?50 application assessment fee if you’re applying for a postgraduate taught course.
This is an extra one-off charge which is separate to your tuition fees and is payable per application. It covers the work and time it takes us to assess your application. You’ll be prompted to pay when you submit your application which won’t progress until you've paid.
If you're a current or former University of 天发娱乐棋牌_天发娱乐APP-官网|下载 student, or if you’re applying for certain scholarships, you will not need to pay the fee. PGCE applications through GOV.UK and Master of Research (MRes) degree applications are also exempt. Find out if you’re exempt on our terms and conditions page.
Supporting information
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
- your knowledge of the subject area
- why you want to study a postgraduate qualification in this course
- how you intend to use your qualification
References are not required for this programme.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We will aim to send you a decision 6 weeks after you have submitted your application.
If we offer you a place, you will need to accept the offer within 30 working days. If you do not meet this deadline, we will offer your place to another applicant.
Unfortunately, due to number of applications we receive, we may not be able to give you specific feedback on your application if you are unsuccessful.
Equality and diversity
We treat and select everyone in line with our Equality and Diversity Statement.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
