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University of Glasgow: Data Analytics for Economics & Finance
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | Adam Smith Business School View department profile |
| Web | www.gla.ac.uk/schools/business |
| Study type | Taught |
Summary
The Masters in Data Analytics for Economics & Finance is multi-disciplinary programme that prepares you for data-driven careers in economics and finance. 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. Jointly delivered by the Adam Smith Business School and the School of Computing Science, the programme 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.
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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.
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You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.
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The programme also provides a solid foundation for PhD study.
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You will have the opportunity to participate in summer project internships with some of our prestigious partners.
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You can gain recognition for extra-curricular activities by joining the Adam Smith Business School’s Graduate Award Scheme.
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The programme is ranked in the top 70 of the QS World University Business Masters Ranking 2026.
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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 This programme will provide advanced training in time series analysis, panel data econometrics and Bayesian inference, based on internationally-recognised research to equip you to apply their knowledge and skills to conduct state-of-the-art research to lead and deliver projects.Pre-sessional courses ensure that students from different backgrounds can catch up to the required level of pre-requisite knowledge.
You will take four course courses and a selection of optional courses. Over the summer months you will also complete a dissertation, either under the standard research pathway, or as part of an internship with one of our indsutry partners.
Pre-sessional courses Computational Statistics and Data Analytics Econometrics and Statistics Review
Core courses Applied Time Series and Forecasting Bayesian Data Analysis Microeconometrics: Impact Evaluation and Causal Analysis Statistical Machine Learning
Optional courses Applied Computational Finance Asset Pricing: Theory and Empirics CyberSecurity Fundamentals for MSc (M) Data Science for Marketing Analytics Deep Learning for MSc (M) Financial Information Retrieval Text as Data for MSc
Research project Dissertation DAEF Industry Pathway or Dissertation DAEF Research Pathway
*Students who choose either of those optional courses, must also select Programming & Systems Development (offered in semester one) as a pre-requisite.
Master of Science - MSc (PG)
| Level | SCQF Level 11 |
|---|---|
| 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: Personal statement. why you have applied for this programme, |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
About the Adam Smith Business School
Welcome to the Adam Smith Business School at the University of Glasgow, where history meets innovation, and you meet your future.
The University of Glasgow’s Adam Smith Business School is proud to be part of one of Europe’s top business schools, distinguished by the prestigious triple crown accreditation from AACSB, AMBA, and EQUIS, a mark of global excellence held by fewer than 1% of business schools worldwide.
Founded in 1451, the University of Glasgow is the fourth oldest university in the English-speaking world. With centuries of academic heritage, we continue to …
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