Study Economics, Data Science & Artificial Intelligence (MSc) at University of Strathclyde in the UK,
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Economics, Data Science & Artificial Intelligence (MSc)

UK

8

What will I learn?

The MSc Economics, Data Science & Artificial Intelligence combines economic thinking with cutting-edge data science and artificial intelligence (AI). The programme focuses on applied methods, equipping you with practical skills in modern statistical techniques, big data analysis as well as AI tools used in real-world decision-making.Delivered through a collaboration between the Department of Economics and the Department of Computer & Information Sciences, the programme offers hands-on learning and exposure to the latest developments in machine learning, natural language processing (NLP) and large language models (LLMs).The MSc Economics, Data Science & Artificial Intelligence is designed for students from a wide range of backgrounds who are interested in a STEM-focused programme and want to develop skills, which are highly in-demand, at the intersection of applied economics, data science, and AI.The MSc Economics, Data Science & Artificial Intelligence aims to produce future leaders at the intersection of economics, advanced data analysis, and AI. The programme is designed to equip students with the analytical, computational and conceptual skills required to operate at the frontier of modern economic analysis using big data.The programme addresses the rapidly evolving challenges faced by governments, businesses and society as AI and data-driven decision-making reshape economic systems. By the end of the programme, you'll be well equipped to understand these changes and to apply advanced quantitative methods to real-world economic problems.The programme places a strong emphasis on data science as a core component of modern empirical economics. You'll develop both theoretical understanding and practical skills in AI methods, with hands-on training in applying frontier AI tools to real-world economic problems, including working with text-based data and supporting informed, data-driven decision-making.You'll learn how data science and AI are transforming economics in both research and practice, from analysing large and complex datasets to applying advanced machine learning techniques. The programme explores the use of natural language processing and large language models and examines how AI tools can be applied responsibly in economic analysis, policy design and decision-making, while engaging critically with their broader economic implications.The course is delivered by the Department of Economics and the Department of Computer & Information Sciences, blending expertise in economics, statistics, software programming, data science, and AI. This cross-disciplinary approach ensures that you'll benefit from world-leading research and teaching across economics, statistical software (such as Python and R) and modern generative AI tools.The MSc offers excellent opportunities to engage with cutting-edge research and industry-relevant applications, ensuring strong graduate employability in a growing global market for economics graduates with advanced STEM and AI skills.

Study options

Full Time (1 Year)

Tuition fees
£29,350.00 (US$ 37,903) per year
This is a provisional fee yet to be approved

*Price shown is for indicative purposes, please check with institution

Start date

September 2027

Venue

John Anderson Campus

107 Rottenrow East,

Glasgow,

G4 0NG, Scotland, United Kingdom

Entry requirements

For international students

Minimum second-class honours degree or overseas equivalent in any subject (view the entry requirements for your country).

Applications are welcome from candidates with significant high-calibre industry or government experience.

*There may be different IELTS requirements depending on your chosen course.

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About University of Strathclyde

Home to around 30,000 students from over 140 countries, the university is located in the heart of Glasgow – a vibrant economic and commercial centre.

  • UK Research Uni of the Year (Daily Mail Uni Guide 2027)
  • UK Uni of the Year (Daily Mail University Guide 2026)
  • Scottish Uni of the Year (Times Good University Guide 2026)
  • 90 percent of research ‘excellent’ or better (REF 2021)

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