MSc Finance and Data Science

Explore the evolving fields of finance and data science with our MSc Finance and Data Science degree. Learn to apply cutting-edge data analytical methodologies to diverse issues in finance and contemporary real-world problems, gaining insight into recent technological developments in the industry. Benefit from interdisciplinary research expertise from the Exeter Sustainable Finance Centre and the Institute for Data Science and Artificial Intelligence as well as joint teaching between the Business School and the Mathematics department. You will develop specialist skills, such as programming for financial applications and quantitative techniques needed to analyse, in-depth, financial data and financial securities which are in growing demand by employers. You will establish a well-balanced understanding across the principles of finance, investment and data science together with methods for implementation and application. Our programme will equip you to pursue a successful career, in roles such as financial analysis, risk management, investment banking, financial technology, and consulting. You have the opportunity to graduate in MSc Finance and Data Science with Sustainable Finance; choosing this pathway equips you with specialist skills in embedding green and sustainable finance principles and practice into your advice, analysis, actions and decisions.; Access to exclusive resources such as events, research publications, career tools, and workshops. A 30% discount on CQF programme fees for full-time students and graduates Industry insights, networking opportunities, and thought leadership content to enhance employability.

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. Mathematics modules may include, for example, Algebra, Calculus, Econometrics, Statistics, Probability or Optimisation.