MSc International Business
The MSc International Business program at the University of Glasgow aims to equip stude...
Glasgow
INTAKE: September
The MSc Data Analytics for Economics & Finance program at the University of Glasgow combines advanced analytical techniques with economic and financial theory, enabling students to gain insights from vast amounts of data. The program covers a range of topics, including econometrics, statistical modeling, data visualization, machine learning, and financial analytics.
Economic Theory: Students develop a solid understanding of economic principles, including microeconomics, macroeconomics, and econometrics. They learn to apply economic models to analyze real-world problems in finance and economics.
Statistical and Econometric Methods: The program equips students with essential statistical and econometric techniques, allowing them to analyze economic and financial data effectively. Students learn to apply regression analysis, time series analysis, and other econometric tools to draw meaningful insights.
Data Visualization and Presentation: Students acquire skills in visualizing and presenting data effectively. They learn to use data visualization tools and techniques to communicate complex economic and financial concepts to diverse audiences.
Machine Learning and Predictive Analytics: The program introduces students to machine learning algorithms and techniques used in economic and financial analysis. Students gain hands-on experience in developing predictive models and extracting insights from large datasets.
Financial Analytics: Students explore the application of data analytics in the financial sector, including risk management, investment analysis, and portfolio optimization. They learn to use data-driven approaches to make informed financial decisions.
Applied Research Project: Students undertake a practical research project, applying data analytics techniques to address a specific economic or financial problem. This project allows them to demonstrate their analytical and problem-solving skills.
Glasgow
IELTS 6.5
£ 27930
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Glasgow offers a variety of scholarships to both domestic and international students to help support their studies.
Graduates of the MSc Data Analytics for Economics & Finance program from the University of Glasgow have excellent career prospects in various industries.
Data Analyst: Graduates can work as data analysts in financial institutions, government agencies, or consulting firms, analyzing economic and financial data to support decision-making processes.
Quantitative Analyst: Graduates can pursue roles as quantitative analysts, using advanced data analytics techniques to develop financial models, assess risk, and optimize investment strategies.
Econometrician: Graduates can work as econometricians, applying statistical modeling and econometric techniques to analyze economic data and generate insights for economic research and policy-making.
Financial Data Scientist: Graduates can work as data scientists in the financial industry, using their expertise in data analytics and finance to extract meaningful insights from financial datasets.
Research Economist: Graduates can work as research economists in academic institutions or think tanks, conducting research on economic and financial trends, and contributing to economic policy development.
Financial Consultant: Graduates can work as financial consultants, providing data-driven insights and recommendations to clients in areas such as investment management, risk analysis, and financial planning.