Data Analytics for Economics & Finance
Basic Information
- Course ID
0e6faf3a-dc2e-4f8a-8f69-03bd4f6b847c- Option ID
d880e1aa-d950-4edc-b81f-be370043488d- Provider
- University of Glasgow
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/22/2026, 4:42:23 AM
- Updated
- 3/27/2026, 10:07:27 AM
Other Options for this Course
No other options
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"suggest": "Data Analytics for Economics & Finance. University of Glasgow. Data analysis",
"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.\n\n**WHY THIS PROGRAMME**\n- 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.\n\n\n- 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.\n\n\n- You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.\n\n\n- The programme also provides a solid foundation for PhD study.\n\n\n- You will have the opportunity to participate in summer project internships with some of our prestigious partners.\n\n\n- You can gain recognition for extra-curricular activities by joining the Adam Smith Business School’s Graduate Award Scheme.\n\n\n- The programme is ranked in the top 70 of the QS World University Business Masters Ranking 2026.\n\n\n- Experience practical learning with real business challenges. Network, collaborate, and make a real-world impact through competitive, merit-based industry projects.*\n\n\n*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.\n\n**PROGRAMME STRUCTURE**\nThis 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.\n\nYou 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. \n\n**Pre-sessional courses**\nComputational Statistics and Data Analytics \nEconometrics and Statistics Review\n\n**Core courses**\nApplied Time Series and Forecasting\nBayesian Data Analysis\nMicroeconometrics: Impact Evaluation and Causal Analysis\nStatistical Machine Learning\n\n**Optional courses**\nApplied Computational Finance\nAsset Pricing: Theory and Empirics\nCyberSecurity Fundamentals for MSc (M)\nData Science for Marketing Analytics\nDeep Learning for MSc (M)*\nFinancial Information Retrieval\nText as Data for MSc*\n\n**Research project**\nDissertation DAEF Industry Pathway or Dissertation DAEF Research Pathway \n\n*Students who choose either of those optional courses, must also select Programming & Systems Development (offered in semester one) as a pre-requisite.",
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