Applied Statistics (MSc)

You’ll need a 2:1 degree in a relevant subject such as:

• statistics
• quantitative analysis
• maths
• economics (with emphasis on econometrics)
• physical sciences
• social sciences (with emphasis on quantitative methods)
• geography (with emphasis on quantitative methods)

We’ll also consider non-graduate qualifications, such as the Graduate Diploma of the Royal Statistical Society. Details of statistical training will help us assess your suitability.

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:

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.

Got a question?

Please contact us if you're not sure you have the right experience or qualifications to get onto this course.

Email: [email protected]
Tel: +44(0)23 8059 5000

You’ll study for a full 12 months, from September to the following September. 

In the week before the start of semester 1, you’ll attend a 4-day induction course which will introduce you to our computer and library facilities. 

For the first 9 months (semesters 1 and 2) you’ll study the taught part of the course. This is made up of modules that everyone on the course takes and modules that we’ll ask you to choose from a list of options. 

Exams take place at the end of semesters 1 and 2. 

You’ll spend the last 3 months of the course working independently on your research project and dissertation. 

Want more detail? See all the modules in the course.

Learning

The learning activities for this course include the following: 

• lectures 
• seminars 
• group work 
• projects 
• independent learning (studying on your own) 

Assessment

We’ll assess you through: 

• essays 
• a dissertation 
• presentations 
• seminar discussions 
• written exams 

Dissertation

You’ll start your supervised research in June and submit a 15,000-word dissertation in September. This will be on a subject of your choice, to be agreed with your tutor. 

The dissertation is a chance for you to show in-depth knowledge of a chosen topic.  

Past topics include: 

• statistical methods for social networks 
• multilevel models of class context on voters at the 1983 General Election 
• estimation of pay distributions from new earnings survey data 
• comparing asset with money metric-based measures of poverty in Malawi 

You’ll have regular support meetings with your supervisor throughout the process. 

Academic Support

You’ll be assigned a personal academic tutor and have access to a senior tutor. 

This degree will qualify you to work as a statistician in a range of sectors, including: 

• government 
• medicine 
• social research 
• private sector data analytics 

You’ll also be in a great position to continue your studies at PhD level. 

We're a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you throughout your time as a student and for up to 5 years after graduation. This support includes:

• work experience schemes
• CV/resume and interview skills workshops
• networking events
• careers fairs attended by top employers
• a wealth of volunteering opportunities
• study abroad and summer school opportunities

We have a thriving entrepreneurship culture. You'll be able to take advantage of:

• our dedicated start-up incubator, Futureworlds
• a wide variety of enterprise events run throughout the year
• our partnership in the world’s number 1 business incubator, SETsquared

Tuition fees

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 Economic, Social and Political Sciences Postgraduate International Scholarship

A scholarship of £3,000 is available to international students studying for a postgraduate master’s in Economic, Social and Political Sciences.

Find out more about the Southampton Economic, Social and Political Sciences International Scholarship, including eligibility and conditions.

Southampton Social Statistics and Demography Chris Skinner Postgraduate International Scholarship

Two scholarships of £5,000 each are available to international students studying for a postgraduate master’s in Social Statistics and Demography.

Find out more about the Southampton Social Statistics and Demography Chris Skinner Postgraduate International Scholarship, including eligibility, deadlines and how to apply.

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.

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Find out about funding you could get as an international student.

1. Use the 'apply for this course' button on this page to take you to our online application form.
2. Search for the course you want to apply for.
3. Complete the application form and upload any supporting documents.
4. Submit your application.

For further details, read our step by step guide to postgraduate taught applications.

Application deadlines

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.

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: [email protected]
Tel: +44(0)23 8059 5000