Finance and Data Science (Taught)

Apply

Course summary

Brings together interdisciplinary research expertise from the Exeter Sustainable Finance Centre and the Institute for Data Science and Artificial Intelligence

Designed to meet the growing demand for more specialist needs, such as programming for financial applications and quantitative techniques needed to analyse, in-depth, financial data and financial securities

You will develop a well-balanced understanding across the principles of finance, investment and data science together with methods for implementation and application

Learn to apply cutting-edge data analytical methodologies to diverse issues in the finance discipline and contemporary real-world problems and gain insight into recent technological developments in the industry

You will be equipped to pursue a variety of careers, ranging from roles including financial analysis, risk management, investment banking, financial technology, and consulting.

To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.

Modules

For a full list of compulsory and optional modules please visit our course page.

Assessment method

Please visit our course page for current assessment methods.

How to apply

International applicants

Our International Student Support can help you with what you need to do before you arrive and when you get here as a new international student. They offer ongoing support throughout your studies whether that be setting up a bank account or arranging healthcare. Our Global Chums Buddy Scheme and our Intercultural Cafe provide opportunities to meet staff and connect with students. INTO University of Exeter provide pre-sessional English courses for international students as well as free insessional support. For more information about entry requirements, bursaries and scholarships and how to apply please visit our course page.

Entry requirements

2:2 with honours in Accounting, Finance, Investment, Economics, Maths, Business, Engineering, Social/Natural Science or related discipline. Evidence of mathematical/quantitative* ability is essential. We do consider all applications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience or professional qualifications such as CFA, ACCA, ICAEW, ICAS and CIMA. For full details, including English language requirements and international equivalencies, please visit our course page. *Mathematics modules may include, for example, Algebra, Calculus, Econometrics, Statistics, Probability or Optimisation.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

In addition to tuition fees and living costs, your programme of study may have other costs associated with it, such as laboratory equipment or field trips. For more information about fees and additional costs please visit our course page.

Sponsorship information

We invest heavily in scholarships for talented prospective Masters students. This is in addition to the UK Government’s Postgraduate Loan Scheme. For information on how you can fund your postgraduate degree at the University of Exeter, please visit our course page.