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The University of Southampton
Southampton Business SchoolPostgraduate study

MSc Business Analytics and Finance (1 year)

Studying during the coronavirus (COVID-19) pandemic
This course is running with start dates in September 2020 and January 2021. Find out how we’re safeguarding our students and staff during coronavirus.

For part time courses
Due to the effect of the coronavirus on our staff and facilities, it's not possible for the University to offer this course in the 2020/2021 academic year. We're regularly updating our coronavirus plans, so check back soon for an update.

Learn how analytic techniques are applied in the financial sector on this MSc, which is one of just a few courses of its kind in the UK. All CORMSIS MSc students have the opportunity to compete for a three-month summer placement with an external organisation.

Due to high demand, this course is now closed to international applicants. We have a range of other related postgraduate courses that you may want to consider. The course remains open for UK and EU applicants.

Not sure if you classify as an international applicant? Check our fee status page.

Introducing your degree

On this masters course you’ll learn about the latest analytical techniques with a focus on their use in a financial context, preparing you for a career in finance, banking and a range of other sectors. It covers key analytical techniques as well as providing a sound understanding of corporate finance, portfolio management and credit scoring – a combination offered on few masters courses elsewhere. You’ll have the opportunity to undertake a three-month business project, which will be the basis for your dissertation, enabling you to apply your knowledge to a real-world challenge and gain invaluable professional experience. You’ll also benefit from the expertise of one of the country’s strongest analytics research groups.

This masters course offers a distinctive combination of analytics and finance modules that is found on few other UK courses. It will teach you how to use modelling techniques to inform sound decision-making – crucial in today’s turbulent global economy. Industry experts are regularly consulted about the content of the course through our Business Advisory Board, ensuring that your learning is up to date and that you graduate with skills that are attractive to employers.

The MSc in Business Analytics and Finance is taught in conjunction with the Centre of Operational Research, Management Sciences and Information Systems (CORMSIS). CORMSIS brings together expertise from the Business School, Mathematics and other disciplines and is recognised as one of the leading groups of its type in the UK. The link with CORMSIS means the course is informed by a range of specialist research areas and it also expands your choice of modules.

This degree will be of particular interest if you would like to enhance your analytical skills with a view to a career in finance, banking, data analytics and other sectors in which business analytics play a role. It is suitable for numerate students who have undertaken some form of quantitative study, or who have relevant professional experience.

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

View the programme specification for this course for 2020/21 entrants


The Association to Advance Collegiate Schools of Business

Programme Structure

This is a full-time, one-year course. You’ll study compulsory modules as well as optional modules from the Business School or Mathematical Sciences. A special feature of the course is the opportunity to apply for a summer project in industry, which will form your dissertation.

The compulsory modules will introduce you to core concepts in both analytics and finance. You’ll cover topics including simulation, optimisation and decision-making, predictive analytics, corporate finance, and portfolio management. Other compulsory modules include:

  • Credit Scoring and Data Mining, in which you’ll learn to create predictive analytics models using real-life credit scoring data and software. The Business School has one of the largest groups of researchers specialising in this area in the world.
  • Software for Data Analysis and Modelling, which covers the fundamentals of SAS, an industry-standard analytical software package. This will help prepare you for SAS base programmer certification. 

You’ll also be able to choose from a range of optional modules. These will allow you to tailor the course to your interests, and include finance-related maths modules such as Revenue Management and Financial Portfolio Theory. You will have the opportunity to learn coding and programming on the Python option.

In the last three months of the course you will undertake a business-related project, either within the Business School or at one of our summer project partner organisations, which will form the basis of your dissertation.

Summer project in industry

All students on this programme have the opportunity to compete for a three-month summer placement with an external organisation. We offer more than 50 external projects annually and have strong connections with a wide range of organisations including Airbus, Boeing, British Airways, Carnival, Deloitte Analytics, Ford, Heathrow Airport, National Air Traffic Services (NATS), NHS and Royal Mail. We also offer projects in China.

It provides an invaluable opportunity to put your knowledge into practice and enhance your professional skills. Working directly with an organisation for three months, you’ll apply your analytics and finance skills and knowledge to a real business challenge. You’ll present the findings to the organisation and write them up for your dissertation.

We offer a high level of career support before and during your project so that you can get the best out of your placement.

  • During the first two semesters you’ll gain an insight into different sectors, roles and project types at weekly seminars, presented by professionals from our industry partners – some of whom are our alumni.
  • Workshops in semester two cover essential skills such as CV writing and interview skills, preparing you for the project application process.
  • Organisations from a range of sectors provide project briefs and students are invited to choose projects of interest and submit their CVs to the relevant companies.
  • Companies come to the Business School to interview students, and successful applicants are allocated a summer project.
  • You’ll receive regular academic supervision during your project.

Research-led learning

Our academics are active researchers who bring insights from their studies to the course. For example:

  • Dr Tiejun Ma's main research falls into FinTech, Cyber and Resilience with risk analysis as the key focus.
  • Programme leader Dr Steffen Bayer conducts research into the development and application of predictive analytics through the use of simulation methods applied in different fields. He teaches the module Simulation.
  • Professor Christophe Mues conducts research into the development and application of predictive, descriptive and prescriptive data analytics models to the problem of credit risk in micro, small and medium enterprises. He teaches the Credit Scoring and Data Mining module.
  • Dr Tapas Mishra is an active econometrics researcher and has worked for leading national and international organisations and think-tanks including the United Nations, the Institute for Future Studies in Sweden and the Institute of Economic Growth in New Delhi, India.

Key Facts

An opportunity to study analytics and its applications in finance, with a mix of modules offered on few other UK masters courses.

It offers the opportunity to compete for a three-month summer placement with an external organisation, providing invaluable professional experience. An external placement is not guaranteed but you will have the chance to apply and be interviewed by the company.

Our students have undertaken summer projects with a range of organisations including Rolls-Royce, IBM, J.P. Morgan and Lloyd’s Register.

Learn to use industry-standard software such as Simul8 and the statistics package SAS; the course will help prepare you for SAS base programmer certification.

Lecturers include academics at the leading edge of analytics research.

Chinese summer projects

Students do China work placements

Chinese MSc students at Southampton Business School now have the opportunity to apply for placements in their home country

Find out more

Careers in Analytics Uncovered

Discover the types of careers you could go into by studying analytics at Southampton

Watch more

Related Staff Member

Typical entry requirements

Bachelors degree

2:1 classification UK bachelors degree or equivalent.

Find out about equivalent entry requirements and qualifications for your country.

Acceptable subjects: A wide range of subjects accepted in finance, economics, sciences, engineering, computer science and similar

Required module areas: Evidence of quantitative study eg accounting, economics, finance, maths, management sciences or engineering. Other subjects considered if quantitative ability demonstrated at A levels.

Excluded subjects: English translation, Art/Performing Art, Vocational Studies

Professional qualifications such as ACA/ACCA/CIMA qualifications can compensate for unrelated degree subject. Work experience in finance is not a requirement but can compensate for unrelated degree subject/grades.

Selection process

The University’s Admissions Policy, available on the University Admissions Policy page, applies equally to all programmes of study. These are the typical entry criteria to be used for selecting candidates for admission. The University’s approved equivalencies for the requirements listed will also be acceptable. The entry criteria for our programmes are reviewed annually by the Faculty. Those stated were correct as of July 2015. Applicants should refer to their specific offer conditions on their offer letter.

International applicants

If English is not your first language, you will need to demonstrate that you have reached a satisfactory standard in an approved English language test.

The following scores are accepted for direct entry:

  • IELTS 7.0 overall with 6.5 in all components

All tests must be no more than two years old at the time of enrolment.

For more information visit a list of equivalent English language tests that are also accepted.

Visit our International Office website or the NARIC website for further information on qualifications.


Pre-sessional courses

Our pre-sessional English language courses are the best way to prepare for study at the University of Southampton. The courses will improve your capability and confidence in using English language in your studies.

Recognition of prior learning (RPL)

If you have professional experience, or credit through prior learning at another institution, you may be eligible to use this experience against some of the programme requirements for period of study. You will need to present evidence that you have met the learning outcomes of the programme. Read the University’s Recognition of Prior Learning Policy.

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

Typical course content

All Core and Compulsory modules must be taken. All Option modules are offered subject to availability and timetabling constraints.

Year 1

Semester One
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).
Semester Two

MANG6095 Dissertation supervision starts in Semester 2 and should be submitted in September.

Credits are based on the Credit Accumulation and Transfer Scheme (CATS).
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).

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
Course TitleAwardYear of entryMode of studyUK/EUInternational
Business Analytics and FinanceMSc 2020Full-time£11,950£20,728
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:

StationeryYou will be expected to provide your own day-to-day stationery items (eg 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.
Printing and copyingIn most cases, written coursework such as essays, projects and dissertations are submitted online and by hard copy. The costs of printing a hard copy for submission of such coursework will be the responsibility of the student. The cost of photocopying will also be the responsibility of the student. For more information about University printing costs, visit
TravelSome modules may include optional visits. You will normally be expected to cover the cost of travel and admission, unless otherwise specified in the module profile.
OtherCandidates 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 models are Casio FX-570 and Casio FX-85GT Plus. These may be purchased from any source and no longer need to carry the University logo.

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 course is delivered through lectures, seminars, hands-on computer exercises, group work and private study. Our academics use a range of methods to help you explore topics in more depth and apply your knowledge, including modelling exercises with real-world data, case studies and numerical problems. Assessment methods vary but may include exams, individual coursework and group work.

Software skills

You’ll have the opportunity to gain hands-on experience of analytics, modelling, coding and programming software, giving you essential professional skills. Programmes used on the course include Excel, Python, SIMUL8 and SPSS. You will also learn to use SAS, a leading data analytics programme, which will help you to prepare for the SAS base programmer certification.

Student support

We offer an intellectually challenging learning environment with plenty of support to ensure you achieve your full potential. You’ll have lots of opportunities to talk with your tutors and each student is allocated a personal academic tutor who can advise on course-related matters and direct you towards any other types of support you might need. Dedicated industry liaison officers are available to answer any queries about the external summer projects.

Study locations

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