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This module will introduce students to the fundamentals of the economic approach to problem-solving and analysis. Economic issues of scarcity, exchange and trade-offs will be used to explore a variety of contemporary issues in the modern economy relating to choices by individual consumers, firms and government policy-makers.

This module is designed to avail students with the key mathematical and statistical techniques that will enable them to understand the models and arguments used within economic and finance theory and applications. 

This module introduces students to mainstream macroeconomics from a quantitative perspective, including its core principles. The content facilitates understanding how economists practically approach and analyse societal problems at the national and regional levels.

A career in Economics or in the private sector requires technical experience in using spreadsheets, data visualisation, economic and business models. This module offers a deep insight into the realm of data science and visualisation, exploring a wide range of tools in MS Excel and complementary software packages.

This module develops the understanding of microeconomics established in the first-year module. Both consumer and producer behaviour will be analysed using fundamental tools of economic analysis. Students will be introduced to the programming of economics problems and will develop their communication skills.

Econometrics introduces quantitative methods for both qualitative and quantitative data analysis. The focus includes a variety of estimation methods for economic data with diverse structures and uses applied applications of these econometric methods to estimate empirical models.  These techniques provide a foundation for the final year dissertation project.

This module uses economic theory to build asset models in order to analyse how the prices of financial securities are determined and how asset prices may reflect time preferences, uncertainty and risk.

The module will emphasise the analytical skills developed by examining macroeconomic theory in a theoretical and applied context. It will equip participants to think conceptually and holistically about how to approach macroeconomic policy making at an institutional level.

The module will review recent developments in microeconomic theory and their applications. Institutions will be examined using recent advances in game theory, contract theory and mechanism design. The digital economy will be analysed from a microeconomic perspective.

The module will equip participants to understand how to approach macroeconomic modelling in a critical manner, and apply this understanding to analyse contemporary debates in macroeconomic policy.

This module will provide students with an introduction to the implications of competition, investment, mergers, innovation, and R&D on the performance, survivability and growth of firms in today’s dynamic and competitive economic environment.

The purpose of the module is to examine behavioural concepts and their application to both theoretical and empirical challenges in economics and financial markets, which are difficult to explain with a traditional economics approach.

This module focuses on the Economics of digital change and Artificial Intelligence (AI), their implications, and how crucial they have become to comprehend real-world situations.

This module has been designed to equip students with critical knowledge of the different theories of trade and development including the links between trade, development and the environment.

The module provides an opportunity for students to undertake independent empirical or theoretical research study in an area of special interest within selected subject areas of economics. Students will be able to communicate their ideas visually, verbally and in written format.

The research work should use econometric analysis or experimental methods in the solution of economic problems or in answering research questions of interest in economics. Students may also complete a dissertation that includes mathematical modelling or computational simulations when the appropriate requirements are met.

Initial thinking about topics and methods for this project will be done at level 5 in the module ‘Econometrics and Data Analytics’.