General pathway

This is a flexible pathway which allows you to select your preferred combination of modules from the sustainable development and data science pathways. It helps you build a broad skill set, providing well-rounded training essential for becoming a versatile and adaptable economist, which would be particularly valuable for those interested in pursuing further studies at PhD level.

Compulsory modules

Economic Research: From Conception to Communication (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • enhance their oral presentation and communication skills for both academic research and employment;
  • develop spoken and written specialist language to suit the high-level communication requirements and style of project proposals and project reports, for both research and employment;
  • conduct critical constructive synthesis of specialist literature;
  • be prepared for subsequent research training and project modules.

Optional modules – data science options (choose one)

Data Science and Economic Predictions (15 credits)

Studying data science techniques for economic predictions is crucial in today's data-driven world, as it enhances forecasting accuracy and informs economic policy and strategy. The aim of this module is to equip students with the econometric skills necessary to interpret and leverage vast amounts of economic data to make reliable predictions. We will study the logic of predictive data analysis and the most widely used methods in contemporary economic literature.

Data Science and Policy Evaluation (15 credits)

The hallmark of contemporary applied microeconomics is the use of large microdata, which refer to data collected at the level of microeconomic agents, such as individual consumers and households. This module aims to equip students with an understanding of data science and its application to microdata, with an emphasis on econometric methods that are widely used to measure microeconomic agents' preferences and their responses to policy interventions.

Students will learn relevant methods and how to apply them by using data science software to analyse real-world data.

Optional modules – sustainable development options (choose one)

Economic Welfare in Imperfect Markets (15 credits)

This module aims to provide students with a deep understanding of industrial economics principles and their application to sustainable development challenges. By examining concepts such as economic welfare, scarcity of natural resources, and energy market dynamics, the module aims to provide students with the analytical tools and knowledge necessary to address complex economic issues within the framework of sustainable development goals. Through a combination of theoretical exploration, empirical analysis and case studies, students will develop the skills to critically assess the economic implications of industrial activities, formulate sustainable development policies, and contribute effectively to the advancement of global sustainability.

Economic Growth and Sustainable Development (15 credits)

This module aims to equip students with an understanding of advanced macroeconomic models, with an emphasis on economic growth. By integrating discussions on sustainable development goals, this module also aims to provide a balanced understanding of how economic growth can be aligned with environmental and societal well-being. The content will include both theories and empirics of economic growth, aiming to provide insight into issues such as the determinants of growth, the role of technological innovation and human capital, and the design of macroeconomic policies that can promote sustainable development.

Optional modules – generalist options (choose one)

International Money and Finance (15 credits)

This module aims to allow students to engage with and study issued related to the mechanics of currency markets, international finance and economics. It aims to use economic principles to examine international monetary arrangements and important historical policy episodes.

The Economics of Sustainability and Net Zero (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • understand relevant economic concepts and tools, and their relevance to environmental sustainability and net zero;
  • identify and assess how complex economic, regulatory, engineering, institutional and environmental factors influence the potential feasibility and likely success of government policies, commercial strategies and technologies aimed at improving sustainability and achieving net zero;
  • develop report writing and presentation capabilities in preparation for future employment, with a focus on making underlying complex analysis understandable to the target audience.

Sustainable Development pathway

This pathway focuses on modules applying economic principles to address global challenges outlined in the United Nations' Sustainable Development Goals (SDGs). It helps you build expertise in analysing policy solutions that support responsible and forward-looking economic practices across both the public and private sectors.

Compulsory modules

Economic Research: From Conception to Communication (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • enhance their oral presentation and communication skills for both academic research and employment;
  • develop spoken and written specialist language to suit the high-level communication requirements and style of project proposals and project reports, for both research and employment;
  • conduct critical constructive synthesis of specialist literature;
  • be prepared for subsequent research training and project modules.

Economic Welfare in Imperfect Markets (15 credits)

This module aims to provide students with a deep understanding of industrial economics principles and their application to sustainable development challenges. By examining concepts such as economic welfare, scarcity of natural resources, and energy market dynamics, the module aims to provide students with the analytical tools and knowledge necessary to address complex economic issues within the framework of sustainable development goals. Through a combination of theoretical exploration, empirical analysis and case studies, students will develop the skills to critically assess the economic implications of industrial activities, formulate sustainable development policies, and contribute effectively to the advancement of global sustainability.

Economic Growth and Sustainable Development (15 credits)

This module aims to equip students with an understanding of advanced macroeconomic models, with an emphasis on economic growth. By integrating discussions on sustainable development goals, this module also aims to provide a balanced understanding of how economic growth can be aligned with environmental and societal well-being. The content will include both theories and empirics of economic growth, aiming to provide insight into issues such as the determinants of growth, the role of technological innovation and human capital, and the design of macroeconomic policies that can promote sustainable development.

Optional modules (choose one)

International Money and Finance (15 credits)

This module aims to allow students to engage with and study issued related to the mechanics of currency markets, international finance and economics. It aims to use economic principles to examine international monetary arrangements and important historical policy episodes.

The Economics of Sustainability and Net Zero (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • understand relevant economic concepts and tools, and their relevance to environmental sustainability and net zero;
  • identify and assess how complex economic, regulatory, engineering, institutional and environmental factors influence the potential feasibility and likely success of government policies, commercial strategies and technologies aimed at improving sustainability and achieving net zero;
  • develop report writing and presentation capabilities in preparation for future employment, with a focus on making underlying complex analysis understandable to the target audience.

Data Science pathway

This pathway focuses on modules that address areas where econometrics meets contemporary data science. It helps you build expertise in applying advanced data analysis to real-world economic problems, preparing you to meet the growing demand for data-driven decision-making in both business and public policy settings.

Compulsory modules

Economic Research: From Conception to Communication (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • enhance their oral presentation and communication skills for both academic research and employment;
  • develop spoken and written specialist language to suit the high-level communication requirements and style of project proposals and project reports, for both research and employment;
  • conduct critical constructive synthesis of specialist literature;
  • be prepared for subsequent research training and project modules.

Data Science and Economic Predictions (15 credits)

Studying data science techniques for economic predictions is crucial in today's data-driven world, as it enhances forecasting accuracy and informs economic policy and strategy. The aim of this module is to equip students with the econometric skills necessary to interpret and leverage vast amounts of economic data to make reliable predictions. We will study the logic of predictive data analysis and the most widely used methods in contemporary economic literature.

Data Science and Policy Evaluation (15 credits)

The hallmark of contemporary applied microeconomics is the use of large microdata, which refer to data collected at the level of microeconomic agents, such as individual consumers and households. This module aims to equip students with an understanding of data science and its application to microdata, with an emphasis on econometric methods that are widely used to measure microeconomic agents' preferences and their responses to policy interventions. 

Students will learn relevant methods and how to apply them by using data science software to analyse real-world data.

Optional modules (choose one)

International Money and Finance (15 credits)

This module aims to allow students to engage with and study issued related to the mechanics of currency markets, international finance and economics. It aims to use economic principles to examine international monetary arrangements and important historical policy episodes.

The Economics of Sustainability and Net Zero (15 credits)

The aims of this module are to develop the skills which allow the student to:

  • understand relevant economic concepts and tools, and their relevance to environmental sustainability and net zero;
  • identify and assess how complex economic, regulatory, engineering, institutional and environmental factors influence the potential feasibility and likely success of government policies, commercial strategies and technologies aimed at improving sustainability and achieving net zero;
  • develop report writing and presentation capabilities in preparation for future employment, with a focus on making underlying complex analysis understandable to the target audience.