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MSc Finance and Data Science

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science Finance / Accounting (General)

Course type

Taught

Course Summary

Overview

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.

Careers

Preparing you for success

This Masters degree is designed to prepare you for a successful career, wherever in the world you plan to work. We’ll prepare you for your career by teaching you advanced communication and technical skills, team-working and independent research, project-management and the very latest specialist knowledge.? ? Our MSc Finance and Data Science?will enable you to develop the professional and financial skills and subject expertise that makes you a valuable asset from day one of your career.?

Modules

This module has two aims. Firstly, it extends the material covered in BEAM047, introducing students to a number of additional topics in corporate finance theory, including debt financing, mergers and acquisitions and pensions. Secondly, the module illustrates the application of corporate finance theory to practical problems in corporate valuation and strategy, through the use of practical exercises and external speakers.
Introduction to Data Science and Statistical Modelling (15 Credits) - Core
Working with Data (15 Credits) - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£19,100

International fees
Course fees for EU and international students

For this course (per year)

£31,000

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.