Economics and Econometrics

BSc Hons UCAS Code

Course overview

If you want to understand how economies really work, our BSc Economics and Econometrics gives you the tools to do it. By combining the foundations of economics with advanced statistical and mathematical models, you’ll learn how to test theories against real-world data and make predictions that matter. These skills are the backbone of modern decision-making, whether in business, government or finance.

You’ll study core areas of economics while also tailoring your degree through optional modules on topics such as international trade, financial economics and labour economics. This flexibility means you can explore different fields and discover where your strengths and interests lie.

Why choose this course?

Teaching and learning

Modules

Core modules

6 modules

Applied Economics

In this module, you’ll explore trends in long run economic growth and globalisation. You’ll gain an understanding of how this has led to dramatic changes in the relative wealth of nations over the last 500 years. We will then ask two key questions: why have modern economic growth started in some places rather than others? And while have some countries been able to catch up, while others have not? These investigations will improve our understanding of why some countries are much richer than others and will give us some important insights on how to promote sustained growth in developing countries.

We will then turn to the economics of globalisation. This will look at the gains from trade, addressing debates regarding free trade and protectionism. You'll consider the movement of capital and migrant workers, looking at the causes of international mobility and the impact on both sending and receiving economies. Particular attention will be given to the rise of China in the world economy, to European economic integration and to potential deglobalisation.


Introduction to Econometrics

This module formalises the statistical methods required for data analysis in economics. The topics include statistical distribution theory and statistical inference, maximum likelihood and extension of the linear regression model to more than one explanatory variable.


Introduction to Macroeconomics

Macroeconomics is the study of the aggregate economy, focusing on the cyclical pattern of aggregate output and co-movement of real and monetary aggregates in general equilibrium. A series of basic models used in modern macroeconomics are introduced, with a particular focus on dynamic general equilibrium modelling tools and techniques necessary to build theoretical models.


Introduction to Microeconomics

In this module you will learn about the behaviour of firms and households in situations of competitive and imperfectly competitive markets.


Mathematical Economics

In this module, you’ll develop a sound basis in the fundamentals of mathematical methods used in economics. You’ll learn to represent economic problems as mathematical problems and to solve them. You’ll learn to apply mathematical techniques in an appropriate manner.


Statistical Methods

This module will introduce you to fundamental statistical concepts. You’ll be introduced to the ideas behind regression analysis through simple linear regression. You’ll learn to apply statistical and graphical techniques in an appropriate manner. You’ll also be introduced to data analysis using Excel. You’ll be expected to complete a series of tasks and solve assignments designed to familiarise you with common challenges faced by professional economists in a business environment and in academia.


Optional modules

Select student type

Entry requirements

3 years full-time

£10,050 per year

Quote marks icon

I’m part of NEFS. In first year, I joined the global economy divisions. We did case studies like what are the big business areas that countries are investing in and we did a presentation on the biggest areas we think countries should focus on in the next 10 years."

Sahar Qureshi

BSc Economics

Careers

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