Join the University of Southampton, ranked in the World Top 40 and 6th in the UK for Statistics and Operational Research (QS World University Rankings by Subject, 2021). This programme offers you a firm grounding in operational research and finance in preparation for careers in the financial sectors. You’ll develop an understanding of how operational research, statistical and optimisation techniques are applied to practical problems and gain many key workplace skills. The summer project is a highlight and most involve working with an external organisation, with typical project sponsors including companies, charities and public services. What is Operational Research and Finance? Operational Research is the application of scientific methods to the study of complex organisational problems. On this master’s degree, there’s an emphasis on complementary financial studies. Even within the same organisation, Operational Research and Finance tends to be highly varied because of its project-driven nature. This breadth of experience offers an exciting and rewarding career in many financial organisations, enabling many Operational Research workers to progress to a career in general management. Moreover, the nature of the work brings an Operational Research and Finance graduate into early contact with senior management, and career advancement is typically rapid.
For a full list of compulsory and optional modules, please visit our website
To include examinations, presentations, coursework assignments and a final dissertation.
How to apply
If English is not your first language, you will need to demonstrate your English meets our Band C: IELTS 6.5 overall, with minimum 6.0 in reading, writing, listening and speaking. For information on other accepted English language tests, please see the website.
An upper-second class degree (or equivalent overseas qualification approved by the University) in a relevant discipline which must include some quantitative training. The programme requires numeracy skills, and is suited to students who enjoy problem solving. However, a first degree in Mathematics is not essential; a degree in business, computer science, quantitative economics, engineering, physics or statistics may be acceptable subjects if they have enough quantitative content.
Fees and funding
No fee information has been provided for this course
Additional fee information
A variety of scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations. Please check the website for more information.
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