BSc (Hons) Economics with Foundation Year Bachelor's degree at the University of Surrey

This module introduces students to core elements of economic theory which forms the basis of the Macro and Micro modules in the Semester 2 of first year. Understanding a number of concepts, like specialisation, markets, competition, rational behaviour and the structure of the economy are key learning outcomes from this module and prepare students for further study in Economics and related subjects.

This module ensures that every student acquires the basic mathematical and statistical skills necessary for their subsequent modules, irrespective of their prior education. Students will learn to solve mathematical optimisation problems, which lie at the heart of every economic model. This module will provide students with techniques for maximising real-valued functions with one variable; functions with several variables will be covered in subsequent modules. Economic applications of the mathema

The module introduces a set of topics that are part of the contemporary economic discourse, and whose coverage supports and further expands on ECO1014's teaching.

The recent digital revolution has led to data gathering and usage in Economics at an unprecedented scale. Public policy and business become more data-driven than ever before. This module explores the data on which economics relies and forms fundamental analytical skills. The lectures are focused on understanding the data, while the laboratory sessions are focused on examination and visualization of the data using R and MS Excel.

This module introduces students to a range of mathematical techniques and concepts required for the effective study of economics. It demonstrates the role mathematics plays in the formulation of economic theory and subsequent analysis. The module builds on the mathematics students have studied in the first term of Level 4 and gives students the mathematical tools needed for the study of economics at Level 5 and 6.

This module builds on the Introductory Economics module by extending the analyses of microeconomic concepts. In particular, it looks at the firm's supply decision (involving cost and production), and the effect of market structure on the firm's demand, studies labour markets and explains the constrained optimisation model of labour supply, introduces students to how to model risk and information problems, and covers aspects of welfare economics and market failure (with an application to the envi

In this module we pose the 'big' questions about the economy, study the relevant data, build models that help explain what we observe, and evaluate these models.

This module introduces students to core elements of probability and statistical inference. This enables students to begin undertaking empirical work. An emphasis in this module is on applications. The module also prepares students for further study in econometrics.

This module provides information, guidance and support for developing employability.

The module builds on the first year microeconomics modules and serves as a foundation for subsequent study of microeconomic topics within the relevant degree programs such as consumer choice and game theory. The module uses some mathematical techniques (from the Level 4 Mathematics modules) and graphical analysis.

This module provides students with the basic mechanics, both in terms of the theoretical background and the practical skills, for carrying out applied econometrics. Throughout there is an emphasis on understanding the assumptions of the methods so as to gain an appreciation of what such techniques can and cannot deliver. An important part of the course is for students to be able to use, and interpret the output of, the econometrics software package Stata. The module relies on the mathematics and

The module is composed of three main areas: (1) an introduction to linear algebra; (2) an introduction to programming in MATLAB; and (3) applications of (1) and (2) to finance and economics problems. In the first part of the course, students develop an understanding of key concepts in linear algebra (vectors, matrices, rank, determinants, system solutions, and quadratic forms), while also learning the functionality of MATLAB, its syntax, and the use of AI tools to support code generation and deb

The module progresses naturally from the macroeconomic models already encountered in first year Principles of Macroeconomics (ECO1019) to build intra-temporal and inter-temporal macroeconomic models from microeconomic principles to explore various macro topics, such as credit market, social security, banking, inflation and economic growth, and examines how macroeconomic policy influences economic performance. It serves as a foundation for Intermediate Macroeconomics 2 (ECO2046).

This module follows on from Introductory Econometrics and considers econometric theory and methods when Gauss Markov assumptions fail to hold. The first half of this module deals with time series and panel data. The second half introduces different examples of the endogeneity problem and their solutions.

Macroeconomic policy and performance are fundamental to our daily lives. This course gives the students a systematic way of thinking about macroeconomic issues. The students will be able to derive macroeconomic models based on the behaviour of economics agents. The students will end up with a model that they could can use independently to understand macroeconomic behaviour and policy issues in the real world.