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Data Analytics for Economics and Finance
The Data Analytics for Economics and Finance MSc at the University of Glasgow is a one-year program that combines the fields of economics, finance, and data analytics. The program covers topics such as econometrics, financial modeling, statistical analysis, and machine learning. Students will learn how to analyze economic and financial data to make informed decisions in areas such as investment, risk management, and policy development.
Graduates will be well-prepared for careers in economic research, financial analysis, or data-driven decision-making, where they can apply their skills in data analytics to improve financial models, investment strategies, and economic policies.
Key information
Key Facts
- Program Title: Data Analytics for Economics and Finance
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 07 July 2026
- Location: University of Glasgow, United Kingdom
- Field of Study: Economics
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Data Analytics and Economics
- Introduction to Data Analytics and Econometrics
- Microeconomics and Macroeconomics
- Statistical Methods for Economics
- Financial Markets and Instruments
- Economic Modeling and Analysis
Semester 2 – Advanced Data Analytics and Applications in Finance
- Time Series Analysis and Forecasting
- Big Data and Machine Learning in Economics
- Financial Risk Management and Analysis
- Data Visualization and Economic Decision-Making
- Dissertation / Research Project
Career Opportunities
Graduates of the Data Analytics for Economics and Finance program can pursue a wide variety of roles in economics, finance, and data analytics. With expertise in data-driven decision-making, statistical analysis, and economic modeling, they are well-equipped for positions such as Data Analyst, Financial Analyst, Economist, and Quantitative Analyst. Graduates can work in sectors such as banking, investment firms, government agencies, and multinational corporations. They may also find opportunities in data science and technology companies where their skills in big data and machine learning can be applied to complex economic and financial problems. The program provides an excellent foundation for those seeking roles in economic consulting, financial risk analysis, or strategic decision-making.
Why Choose This Program
The Master of Science in Data Analytics for Economics and Finance at the University of Glasgow offers a unique combination of economics, finance, and data science, providing students with essential skills for analyzing complex economic systems. The program emphasizes hands-on learning with real-world data, equipping students with advanced tools and techniques for data analysis and decision-making. By integrating economic theory with cutting-edge data analytics, students develop a deep understanding of financial markets, risk management, and economic forecasting. The program is taught by experienced faculty with strong industry connections, ensuring that students are exposed to the latest trends in the field. This program is ideal for those looking to pursue careers in the growing field of data analytics, offering excellent prospects in both economics and finance.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)141 330 2000
Email: admissions@glasgow.ac.uk
Address: University of Glasgow, University Avenue, Glasgow G12 8QQ, United Kingdom
