Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 12 months full-time
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.
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.
Data science and artificial intelligence are transforming economies, businesses and public policy worldwide. Employers are increasingly looking for graduates with strong analytical skills and the ability to apply modern data and AI technologies to complex real-world problems.
As a graduate of the MSc Economics, Data Science & Artificial Intelligence, you'll be well placed to work at the intersection of economic analysis, data science and AI, and to address the challenges and opportunities created by rapid technological change in the 21st century.
Core modules:
Fundamentals of Macroeconomics
Fundamentals of Microeconomics
Quantitative Methods for AI
Data Analytics I: Essentials in Economics & Finance
Analysis of Economic Data
Energy Finance & Forecasting
Data Analytics II: Advances in Economics & Finance
Artificial Intelligence: Economic Fundamentals
Summer Project in Economics, Data Science & AI
Optional modules:
Energy Economics
Natural Resources, Sustainability & Governance (10 credits)
Economic Appraisal & Modelling
International Macroeconomics
Topics in Public Economics
Economics of Inequality & Inclusive Growth
Environmental Economics
Climate Change Economics (10 credits)
Health Economic Policy
Big Data Fundamentals
AI for Autonomous Systems (20 credits)
Fundamentals of Machine Learning for Data Analytics
AI for Finance
The place of useful learning The University of Strathclyde is a leading international technological university located in the heart of Glasgow – one ...
