MSc Economics and Data Analytics

This module provides a comprehensive foundation in quantitative techniques used to analyse economic relationships and test economic theories.

Students will develop practical skills in statistical modelling, regression analysis, hypothesis testing, and data interpretation while learning how econometric methods support policy evaluation, business strategy, and economic research. The module emphasises applying quantitative techniques to solve real-world economic and business challenges.

This module explores how data analytics and visualisation techniques can transform complex datasets into meaningful business intelligence and economic insights.

Students will learn to collect, manage, analyse, and present data using modern analytical tools and visualisation platforms. The module focuses on communicating findings effectively, enabling decision-makers to identify trends, monitor performance, and support strategic planning through data-driven storytelling.

This module examines the core principles of modern microeconomics and macroeconomics while exploring how economic theory informs government policy and business decision-making.

Students will analyse contemporary economic challenges such as inflation, unemployment, international trade, fiscal policy, and sustainable development. The module develops critical thinking skills required to evaluate economic policies and their impact on businesses, industries, and society.

This module focuses on applying econometric techniques to forecast economic trends and support evidence-based strategic decision-making.

Students will explore forecasting models, time series analysis, predictive techniques, and economic modelling used by governments, financial institutions, and multinational organisations. The module equips learners with the skills to interpret economic data, anticipate market movements, and evaluate future scenarios with confidence.

This module introduces the application of machine learning techniques to economic analysis and data-driven decision-making.

Students will explore algorithms used for prediction, classification, clustering, and pattern recognition while understanding how artificial intelligence is transforming economic research and business analytics. The module demonstrates how machine learning can uncover hidden insights, improve forecasting accuracy, and support smarter policy and commercial decisions.

This module examines the economic forces shaping today’s interconnected global economy and their impact on businesses, governments, and financial markets.

Students will explore international trade, globalisation, geopolitical developments, financial systems, sustainability, and emerging market trends. The module develops a strategic understanding of how global economic conditions influence organisational performance and equips students to make informed decisions in an increasingly complex international environment.

This capstone module provides students with the opportunity to apply their economic and analytical expertise to a real business or organisational challenge.

Working on an industry-focused consultancy project, students will conduct research, analyse complex datasets, develop strategic recommendations, and present evidence-based solutions to address contemporary economic and business issues. The project strengthens professional consulting, analytical, and problem-solving capabilities.

This module enables students to undertake an independent research project within a specialist area of economics or data analytics.

Students will identify a research problem, apply appropriate analytical and econometric methodologies, evaluate findings, and produce a substantial academic dissertation. The module develops advanced research, critical thinking, and analytical skills while allowing students to investigate contemporary economic issues with practical and academic relevance.