Economics with Finance BSc

This module introduces you to the fundamental principles of microeconomic theory, focusing on the behaviour and decision-making processes of individuals, households, and firms. You will gain a solid understanding of key microeconomic concepts, such as choice theory, market structures, consumer behavior, and firm decision-making. The module explores the practical application of microeconomic analysis to contemporary policy issues.

This module introduces you to the foundations of macroeconomic theory and analysis. You will explore how economies operate at the aggregate level and develop the tools to understand key economic indicators such as interest rates, national output, inflation, and exchange rates. Through real-world examples and policy applications, you will learn how macroeconomic analysis informs and shapes economic decision-making and policy evaluation in national and global contexts.

This module introduces students to the financing and investment decisions that financial managers make, and the financial market context in which those decisions are made. Its aim is to provide a solid grounding in the basic concepts of finance for economists, focusing in particular on theoretical analysis and problem solving.

This module is designed for students with an A-Level in Mathematics (or an equivalent qualification). You will revisit key mathematical tools covered in A-Level Mathematics (such as differential calculus) and learn to use them to formulate and solve problems in economics and finance. You will also be introduced to other techniques that are essential for problem solving in economics. These tools will be used throughout the rest of your degree. The topics covered include: sequences/series and the economics of finance, functions, univariate optimization, elasticity, integration, multivariate optimization, constrained optimization, and matrix algebra.

This module introduces probability and statistical methods essential for economic and financial analysis. You will develop key skills in descriptive statistics, probability theory, statistical inference, hypothesis testing, correlation, and regression, gaining an understanding of how these statistical tools are applied in real-world economic and financial contexts. By the end of the module, you will have the statistical and analytical skills required for more advanced study in economics and for interpreting empirical economic research.

This module introduces you to the fundamentals of economic data analysis and visualisation. You will learn how to find, collect, and manage real-world economic data, as well as apply basic statistical tools to interpret and present insights effectively. The module covers key economic indicators such as Gross Domestic Product (GDP), inflation, and unemployment while teaching best practices for creating clear, accurate, and meaningful data visualisations. Through hands-on experience with Excel, you will develop practical skills that are highly valued in both academic research and the workplace.  The module has a strong emphasis on employability, promoting reflection in the skills you acquire aligned to the Sheffield Graduate Attributes (SGA).

This module aims to provide students with the research skills required to carry out supervised, independent research in economics. The module lectures will cover topics such as an introduction to the process of writing a dissertation, identifying relevant data sources and searching for literature. The module contains a series of computer workshops which will focus on analysing real-world datasets and a series of supervision workshops which will guide students through their research.

The aim of this module is to introduce some of the main principles of modern finance. This is an analytical module which reflects the quantitative nature of the subject and each topic is developed from first principles. The topics covered include: the time value of money and its applications; risk return and diversification; introduction to portfolio selection; the capital asset pricing model (CAPM) and its use; and an introduction to the role of utility theory in finance and company capital structure. The aims of the module are to: Provide an introduction to portfolio theory, i.e., the concept of financial risk and behaviour of rational, risk-averse investors; Leading to a general equilibrium picture of financial asset returns and prices; Explore corporate financial decision making in the major areas of Capital Structure (the mix of equity and debt financing used to finance the firm's investments); Introduce students to concepts of Stock Market Efficiency and Option Pricing, considering in particular alternative pricing models.

This module is designed to further develop students' understanding of core microeconomic principles by exploring a number of advanced topics in microeconomics. The course material will be predominately theoretical with a substantial mathematical component and some evaluation of empirical evidence. Indicative topics include: decision-making under uncertainty; insurance markets, principal-agent theory, risk aversion and risky asset holdings; cooperative and non-cooperative bargaining; economics of sporting contests.

Game theory is the study of decision problems which involve more than one agent. Given the prevalence of such problems in economics, game theory has become a very important methodological tool in many of its fields, including industrial economics, political economy and international trade. This module aims at equipping students with the core knowledge of game theory as used in economics, with special emphasis on applications and examples, rather than pure theory.

This module is designed to introduce students to a number of important advanced topics in econometrics. The aims of the module are to provide: an overview of modern econometric methodology; an introduction to further econometric techniques; and an introduction to applied econometric research methods. The module will cover topics in both microeconometrics and times series econometrics.

This module is designed to cover topics which illustrate and amplify the core teaching in macroeconomics at level two. Topics include Dynamic general equilibrium theory of consumption and saving, Consumption theory, Macroeconomic Risk, Real business cycle and fiscal policy, Financial frictions and credit constraints, Nominal economy and monetary policy, Economic growth and finance.

This module aims to build upon a basic knowledge of mathematical economics, introducing and explaining some of the more advanced mathematical techniques which are prevalent in modern economics and to show how they can be applied to intermediate economic analysis and discussions. By the end of the module students should be able to demonstrate an understanding of, and be able to apply in a variety of economic situations, the principles of univariate and multivariate calculus; linear algebra; constrained and unconstrained optimisation and comparative static analysis (with and without the use of linear algebra); basic inequality constrained optimisation; maximum value functions and the envelope theorem. It is assumed that students enrolling onto this module can rearrange equations, solve simultaneous equations, undertake multivariate calculus and solve economic problems including basic constrained optimisation.

The first part of the course will cover neoclassical trade theories in which countries trade following their comparative advantage. The second part of the course deals with more recent trade theories based on economies of scale and/or imperfect competition that helps us to explain some recent patterns observed in the data. The third part of the course is an introduction to trade policy and the political economy of trade policy.

This module covers monetary theory and monetary policy. It presents several economic models and discusses what monetary policy can and cannot do, as well as an introduction to the New Keynesian model. The module aims to enable students to apply the skills of economic analysis to the conduct of central banks and to the mechanisms underlying the monetary transmission mechanism.

Urban economics is concerned with understanding the spatial form of cities and the spatial distribution of economic activities within a country, making use of theoretical models and empirical evidence. Three fundamental questions are: (1) Why are economic activities within a country so unequally distributed across space? (2) Why do cities, and more broadly agglomerations of firms and workers, emerge and in what locations? (3) What are the consequences of unequal distribution of activities for productivity, innovation and wages? This module covers topics such as:- Why do cities exist and why do firms cluster?- What determines equilibrium city size and features of the urban system?- City growth, spatial transformation and the implications for productivity, knowledge and wages.- Real Estate economics and the housing market.- Diseconomies in cities: Urban location, land rents and land use patterns.- Unequal distribution of economic activities and levelling-up.- Transportation economics.- Urbanisation in developing countries.

Economics is the study of how society allocates its scarce resources across competing alternatives. This notion of scarcity is as relevant in the health care sector as it is elsewhere and, thus, it is important that the resources available to health and health care are used in the best possible ways. This course will: look at how best should be defined in the context of health care; consider the roles that market forces and governments might play in achieving the sector's objectives; and discuss what information is needed so that resources can be deployed where they will do the most good. The aims of the module are: 1. To enable students to develop a critical understanding of the basis of health economics.
2. To introduce students to the health economists' toolkit, the ways in which it can be used in to inform health care resource allocation, and its limitations.

This module will cover the economic theories used for the analysis of inequality and poverty.
The theories will be backed by evidence from both the developed and the developing countries. The module starts off by a discussion of issues around measurement of inequality and poverty; the different measures that are used and the inherent assumptions behind these measures. We then move on to explain the existing global trends in inequality and poverty. Different theories are used to explain these trends; for example: role of human capital, poverty traps etc. Finally we discuss the policy response of different countries to address the issues of inequality and poverty, drawing on the specific examples of welfare programmes in the developed countries and the conditional cash transfers in the developing countries.

The amount of education possessed by individuals will influence their decisions in future. Education relates to issues such as health and labour market decisions. This module examines the demand for and provision of education, incorporating a mixture of economic theory such as human capital; rates of return to further and higher education and course type all of which directly relate to the labour market. The graduate labour market is analysed, incorporating changes in the provision of higher education and an understanding of the rationale for the introduction of top-up fees. A final section considers schools, analysing and evaluating issues such as class size reduction, competition and selection, the performance of teachers, and the importance of pupils' family backgrounds, all in terms of their effect on pupil performance.

Important economic processes cannot be fully understood without taking into account political and institutional factors and governments' political motivations. This module introduces insights from politics into the study of public policy and economic performance. In particular, it aims to give students: 1. an opportunity for interdisciplinary study within the undergraduate economics degree; 2. familiarity with the modern literature in theoretical and applied political economy; 3. an opportunity to develop their research skills through research-oriented assignments.

Economic choices shape nature just as nature can shape our choices. This module provides students with the opportunity to apply economic concepts and methods to issues related to the use and management of the environment and natural resources. The module explores issues, arguments and analysis of market failure in the protection of the environment. It also offers public policy responses to issues of sustainability and climate change.

Standard economic models can successfully model human behaviour. However, the strong assumptions required of economic actors in those models will make systematic mispredictions in some contexts. Behavioural economics tries to overcome the systematic mispredictions by adopting non-standard assumptions, often inspired by insights from other disciplines. The module will discuss empirical evidence that underpins these non-standard assumptions, and will reflect on how insights from behavioural economics can be relevant in real life.

The Economics of Race and Gender first presents an overview of differential outcomes by gender and ethnicity in the UK labour market and discusses the possible drivers of these differences.  It then presents economic theories of discrimination in labour markets before discussing the strategies that economists use to test for discrimination in the real world.  

The aim of this module is to provide an overview of the economics of innovation. The module will study firms' incentives to invest in innovation and the resulting policy implications. Expanding your knowledge of microeconomics this module will include the relationship between market structure and innovation, the role of firm cooperation and the effects of mergers on innovative activities. We will also look at the role of intellectual property rights / patent systems and policy interventions. As many innovations in recent years are in the areas of digitalization, artificial intelligence, and big data, the module will also cover those topics.

It takes the average worker in the UK less than ten days to produce the same amount of output as the average worker in the Democratic Republic of Congo produces over the course of an entire year. Earning the minimum wage in the UK easily puts you in the top 10% of earners worldwide. This module uses a mix of theory and empirics to seek to understand where these enormous gaps in standards of living between countries come from and how they evolve over time.