Data Analytics for Economics & Finance MSc

University of Glasgow

This multi-disciplinary program prepares you for data-driven careers in economics and finance. It is ranked in the top 70 of the 2025 QS Masters in Business Analytics. It combines insights from economics, finance, statistics, and computing science. With a focus on rigorous data methods, graduates gain essential skills to inform complex decision-making. The program is jointly delivered by the Adam Smith Business School and the School of Computing Science. It provides you with future-proof, in-demand expertise for todays fast-changing industries.

Why this programme
The programme will build on your strong interest in data analytics to develop their skills in using data rigorous methods in order to inform complex decision making, using big data.
This programme offers a distinctive and innovative multi-disciplinary approach to the field of data analytics as applied to economics and finance, comprising core and elective courses offered from the Departments of Economics, Accounting & Finance, and Computing Science.
You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.
The programme also provides a solid foundation for PhD study.
You will have the opportunity to participate in summer project internships with some of our prestigious partners.
You can gain recognition for extra-curricular activities by joining the Adam Smith Business Schools Graduate Award Scheme.
Experience practical learning with real business challenges. Network, collaborate, and make a real-world impact through competitive, merit-based industry projects.

Career prospects
The MSc Data Analytics for Economics & Finance will be suitable for those who have developed a strong interest in obtaining data analytic skills combined with economic insights and aspire to follow a career in finance, banking, consulting, government and other major international institutions. 

The programme delivers a multi-disciplinary curriculum that will prepare graduates for work in all fields of data-rigorous professions related to economics and finance, as well as marketing and business. It is also advantageous for direct admission to a PhD programme.