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University of Exeter: Finance and Data Science
| Institution | University of Exeter View institution profile |
|---|---|
| Department | Accounting and Finance |
| Web | https://www.exeter.ac.uk/postgraduate |
| ESEEnquiries@exeter.ac.uk | |
| Telephone | +44 (0)1392 727272 |
| Study type | Taught |
MSc
Summary
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Explore the evolving fields of finance and data science with our MSc Finance and Data Science degree.
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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.
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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.
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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.
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You will establish a well-balanced understanding across the principles of finance, investment and data science together with methods for implementation and application.
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Our programme will equip you to pursue a successful career, in roles such as financial analysis, risk management, investment banking, financial technology, and consulting.
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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.
To learn more about modules, assessment methods, facilities and our staff research expertise please visit our course page.
| Level | RQF Level 7 |
|---|---|
| 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. *Mathematics modules may include, for example, Algebra, Calculus, Econometrics, Statistics, Probability or Optimisation. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
Summary
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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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | University of Exeter - Streatham Campus Northcote House The Queen's Drive Exeter Devon EX4 4QJ |
A Russell Group university offering outstanding career prospects
At the University of Exeter, we provide study opportunities in beautiful and historic surroundings in South West England. Studying with us will give you the opportunity to become an expert in your field, develop valuable skills and help you build the foundations for your career.
We are a member of the prestigious Russell Group of top UK research universities, ranked in the country’s top 15 in The Times and Sunday Times Good University Guide 2025. We are proud to produce ambitious alumni who progress to successful global careers …
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