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Data Analytics for Economics and Finance at University of Glasgow - UCAS

Course options

2025 - 2026
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Course summary

This multi-disciplinary programme prepares you for data-driven careers in economics and finance. It is ranked in the top 70 of the 2025 QS Master’s 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 programme 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 today’s 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 School’s Graduate Award Scheme.
  • Experience practical learning with real business challenges. Network, collaborate, and make a real-world impact through competitive, merit-based industry projects.*
*Industry Projects are not guaranteed. All applications are subject to availability and review processes. We will support candidates with their applications before the deadline but if unsuccessful, they can opt for a research proposal for their dissertation. Students can also secure their own projects with approval from academic and/or professional services. PROGRAMME STRUCTURE The programme will provide you with advanced training in time series analysis, panel data econometrics and Bayesian inference, based on internationally-recognised research to equip students to apply their knowledge and skills to conduct state-of-the-art research to lead and deliver projects. Core courses Applied Time Series and Forecasting Microeconometrics: Impact Evaluation and Causal Analysis Statistical Machine Learning Bayesian Data Analysis Optional courses Text as Data for MSc Deep Learning for MSc (M) CyberSecurity Fundamentals for MSc (M) Financial Information Retreval Applied Computational Finance Empirical Asset Pricing Financial Market Microstructure Data Science for Marketing Analytics Dissertation Dissertation DAEF Industry Pathway or Dissertation DAEF Research Pathway You will also have the opportunity to attend the following two preparatory (pre-sessional) courses: Computational Statistics and Data Analytics Econometrics and Statistics Review

How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

2.1 Hons (or non-UK equivalent) in Economics, Finance, Computing Science or another subject with a quantitative focus. Additional documents required when applying for this programme In addition to the documents listed in 'how to apply', please supply a personal statement detailing: why you have applied for this programme the relevant experience you have to support your application how you think the programme will benefit you in the future It is compulsory to submit this personal statement along with the rest of your application.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Data Analytics for Economics and Finance at University of Glasgow - UCAS