POSTGRADUATE TAUGHT DATA ANALYTICS FOR ECONOMICS & FINANCE MSC

Postgraduate programme

POSTGRADUATE TAUGHT DATA ANALYTICS FOR ECONOMICS & FINANCE MSC

Offered by UNIVERSITY OF GLASGOW

ON-CAMPUS: GLASGOW Direct university enquiry No obligation

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Programme overview

Why choose this programme?

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.
- 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.
- The programme is ranked in the top 70 of the QS World University Business Masters Ranking 2026.
- Experience practical learning with real business challenges. Network, collaborate, and make a real-world impact through competitive, merit-based industry projects.
The Data Analytics for Economics & Finance MSc 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.

Modality

ON-CAMPUS: GLASGOW

Entry requirements

2.1 Hons (or non-UK equivalent) in Economics, Finance, Computing Science or another subject with a quantitative focus.

Dates and duration

12 months

Next Date: September

Career opportunities

Where this programme can take you


The Data Analytics for Economics & Finance MSc 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.

SYLLABUS

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.

Programme alteration or discontinuation

The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.