inline-defaultCreated with Sketch.

This website uses cookies to ensure you get the best experience on our website.

Students
Tuition Fee
GBP 25,400
Per year
Start Date
2025-09-01
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Applied Statistics | Mathematics | Statistics
Area of study
Mathematics and Statistics
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 25,400
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Statistics (MSc)

Award

Master of Science


Typical Offer

2:1 degree


Duration

1 year


Course Type

Full-time


Campus

Highfield


Next course starts

September 2025


About this course

On this UK master’s degree in statistics, you’ll study statistical theory and methods and how to apply them. The MSc Statistics programme will prepare you for a career in statistics, data science or related fields.


On MSc Statistics, you’ll explore practical problems typically found when collecting and analysing scientific data and improve your communication skills.


These practices will prepare you for a future career as a statistician. Our graduates go on to work in many industries such as, banking, insurance, pharmaceutical and in government bodies.


You’ll study core modules and choose what topics you want to study in depth, we offer modules in statistical theory and real world application of statistics. Optional module topics include:


  • machine learning
  • flexible regression
  • design of experiments
  • clinical trials
  • introduction to Python

As part of your study you'll use statistical software, time management and basic research skills as well as boost your analytical skills.


This master’s degree in statistics will help you take that next step in developing a career or continue onto PhD study. There is a wide choice of career opportunities for qualified statisticians, for example in banking/insurance, in the pharmaceutical industry, or in government bodies.


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.


Our courses are regulated in England by the Office for Students (OfS).


Course lead

This course is led by Dr Chieh-Hsi Wu. Chieh-Hsi is a lecturer in statistics, and her research interests include statistical modelling.


Related pathways

We offer two pathways on this master’s degree in statistics: our default Methods and Applications pathway, and a Data Science pathway.


Methods and Applications pathway

On our default MSc Statistics pathway, you will:


  • study the fundamental theory underlying key statistical methods in the Likelihood and Bayesian Inference module
  • gain knowledge of widely used regression models in the Generalised Linear Models module
  • acquire essential computational skills for advanced statistical analyses in the Statistical Computing in R and Computationally Intensive Statistical Methods modules
  • receive training in communication, especially with non-statisticians, and teamwork in the Research Communication Skills module – equipping you with essential skills for a career in industry and interdisciplinary research projects

Data Science pathway

The Data Science Pathway emphasises computational skills for complex data analysis, while maintaining a strong focus on statistical rigour.


You'll study the same core topics as the Methods and Applications pathway, and you'll also:


  • further develop your computational and data analysis skills in the Introduction to Python and Fundamentals of Data Science in R modules
  • explore advanced methodologies in the Machine Learning module

We also offer these modules as optional choices on the Methods and Applications pathway.


Optional modules

We offer a wide range of additional optional modules on this course to help you broaden your understanding of statistics, and build on the knowledge and skills you'll acquire through the compulsory modules.


These optional modules include:


  • Forecasting
  • Design of Experiments
  • Flexible Regression

We also offer optional modules which focus on biomedical applications, including:


  • Epidemiological Methods
  • Statistical Genetics
  • Clinical Trials

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.


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:


  • overall score: 6.5
  • reading: 6.0
  • writing: 6.0
  • speaking: 6.0
  • listening: 6.0

If you do not meet the English language requirements through a test or qualification, you may be able to meet them by completing one of our pre-sessional English programmes before your course starts.


Pre-masters

If you don’t meet the academic requirements, you can complete a pre-master's programme through our partnership with OnCampus.


Course structure

On the full-time course, your studies will last 12 months from September to the following September. You’ll study taught modules for the first 2 semesters, and complete 2 case studies over the summer.


On MSc Statistics, you’ll learn research skills and attend presentations on transferable skills and employability.


You'll develop independent learning skills and have the opportunity to conduct and gain experience of an in-depth open-ended statistical investigation in two case studies.


Learning and assessment

You'll learn through lectures, seminars, computer workshops, case studies, group work, project work and independent study.


You’ll use specialist computer packages in several modules. Specialist packages include SAS and R, which are the main systems that an applied statistician would be expected to use.


On this MSc you’ll be taught a variety of techniques, methods and approaches of statistics and how to apply them to practical problems.


We’ll assess you through:


  • examinations
  • coursework
  • presentations
  • assignments
  • dissertation

Dissertation

As part of your course, you’ll need to complete a Statistics Project.


This is an in-depth study of a particular advanced statistical methodology or of the application of one or more methods to real applied problems.


Academic Support

We’ll assign you a personal tutor, and you’ll have access to a senior tutor.


Careers and employability

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 Southampton 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.


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

Careers directly related to this course:


  • Actuarial analyst
  • Actuary
  • Data analyst
  • Data scientist
  • Financial risk analyst
  • Investment analyst
  • Market researcher
  • Operational researcher
  • Statistician

Wider career opportunities:


  • Business analyst
  • Chartered accountant
  • Economist
  • Financial manager
  • Financial trader
  • Insurance underwriter
  • Machine learning engineer
  • Palaeontologist
  • Research scientist (maths)

Fees, costs and funding

Fees for a year's study:


  • UK students pay £9,250.
  • EU and international students pay £25,400.

Check fees for other versions of this course.


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:


  • accommodation costs
  • living costs
  • budgeting advice
  • fees, charges and expenses regulations

10% alumni discount

If you’re a graduate of the University of Southampton, 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.


Southampton 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 Southampton 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

  1. Use the blue 'apply for this course' button on this page to take you to our postgraduate admissions system.
  2. Create an account which gives you access to your own application portal.
  3. Search for the course you want to apply for.
  4. Complete the application form and upload any supporting documents.
  5. Pay the £50 application assessment fee, (there are some exemptions, check terms and conditions).
  6. 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 Southampton 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.


You may also be asked to provide a degree transcript.


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.


Related courses

  • MSc Actuarial Science
  • MSc Applied Statistics
  • MSc Data and Decision Analytics
  • MSc Operational Research
  • MSc Operational Research and Finance
  • PGCE Mathematics
  • MSc Statistics with Applications in Medicine

Program Outline


Careers:

Statistics is key in decision-making in areas of uncertainty, and statisticians champion quantitative reasoning to help organisations make important advances in science and in business and public policy. Our graduates go on to work in many industries such as, banking, insurance, pharmaceutical and in government bodies.


Tuition fees Fees for a year's study: UK students pay £9,250. EU and international students pay £24,200 International students: Monday 29 July 2024, midday UK time UK applicants: Friday 30 August 2024, midday UK time

SHOW MORE
Admission Requirements

Entry Requirements:

You'll need all of the following scores as a minimum: IELTS score requirements overall score 5 reading 0 writing 0 speaking 0 listening 0

Location
How can I help you today?