Study In UK: The University of Strathclyde in Glasgow has made an announcement regarding the introduction of a new interdisciplinary Master of Science (MSc) course in Economics, Data Science, and Artificial
Intelligence. The full-time course is now open for applications for the September 2026 intake.
The new MSc course has been designed to meet the growing demand for people who can combine economic knowledge with the latest data science and artificial intelligence tools. With governments, firms, and organisations increasingly relying on data-driven decision-making, the new MSc course is designed to provide students with the skills to work at the intersection of economics, analytics, and AI.
The course is designed to enable students to process large and complex datasets, leverage machine learning algorithms, and leverage natural language processing tools. Students will also be able to incorporate AI approaches in economic research, analysis, and strategic decision-making.
Data science is an integral part of the course, as it has become an essential area of study in contemporary empirical economics. Students will be able to make use of advanced tools and techniques, such as the analysis of text-based data and large datasets, to enable evidence-based economic analysis.
The programme is jointly delivered by the Department of Economics and the Department of Computer & Information Sciences, giving students exposure to both economic theory and advanced computing. Applied projects are built into the course to provide industry-relevant experience.
Speaking about the launch, Programme Director Niko Hauzenberger said the course reflects what modern employers are looking for. “This programme represents a unique combination of disciplines that reflects the needs of modern employers who inform their business or policy decisions in a data-driven manner. Graduates will leave with a strong skill set in economics, complemented by considerable strengths in applied data science and the use of AI tools,” he said, adding that this combination will enhance employability across business, finance and policy sectors.
Course benefits
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Interdisciplinary training in economics, data science and AI
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Hands-on experience with machine learning and natural language processing
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Applied projects with real-world economic datasets
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Strong focus on industry-relevant and policy-driven applications
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Joint teaching from economics and computer science departments
Career prospects
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Graduates will be prepared for roles in:
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Data analysis and data science
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Economic and policy research
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Finance and fintech
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Technology and business strategy
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Public policy and government analytics
Eligibility criteria
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UK second-class honours degree (2:1 or 2:2) or equivalent international qualification
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Open to graduates from any subject background
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Minimum IELTS score of 6.5, with no component below 5.5
Fees and Funding
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Tuition fees for international students: £29,350
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Scholarships and funding options are available
Application deadline
Applications are now open for September 2026 entry.
