Each year, students receive specific training by the Management School Careers Team, to prepare them for the graduate labour market. In the first year the focus is on growing the student’s awareness of labour market dynamics and his or her professional aspirations and inclinations. The second year focuses on goal setting, action planning, and developing a personalised career plan. The third year focuses on one-to-one sessions with career advisors. The Career Team is based in the Management School, organises events with employers and alumni, and coaches students on how to best perform in the graduate job market through seminars, surgeries, mock interviews and one-to-one advice.

This module uses the tools of economics to study various macroeconomic variables (inflation, consumption, output, unemployment) and particularly their short-run and long-run dynamics. It covers topics related to fiscal policy and the sustainability of public debt in the intermediate run. In addition, students will study unemployment and labour market dynamics and more in general economic stability in the short run.

The module requires algebra, elementary calculus, logical thinking and general problem-solving ability.

This module first explores some of the key insights of New Keynesian economics, particularly that the monetary policy effectively influences output in the short-run but not in the long run. We will examine the crucial role of how the public formulates expectations for the economy’s stability, e.g. expectations about inflation and the importance of credible monetary policy. The second part of the module will cover topics explaining the “mysteries” of long-run economic growth. For example, how did we arrive at the vast degree of disparity between countries we observe today? This module covers topics like exogenous and endogenous growth, optimal growth, and dualism.

Note that this module is available only to students majoring in Economics.

Markets consist of individual buyers and sellers, each facing choices. A buyer must decide what, and how much, to purchase. A seller must decide how much to produce, how to produce it, and what price to charge. But how are these choices made? In this course, we will explore this question formally, with the aid of economic models. The topics include consumer choice, profit maximization and cost minimization. The module requires a basic knowledge of algebra and calculus.

By the end of the course, you will improve your logical thinking and problem-solving abilities.

This module builds on learning gained in Intermediate Microeconomics 1 (ECON220), developing on the theories and concepts covered as well as focusing on a range of new topics.

Topics include:

• analysis of monopoly behaviour and regulation

• price and quantity setting in duopoly markets

• introduction to game theory and strategic behaviour by firms

• auctions (including a study of eBay)

• general equilibrium and welfare economics

The module is normally taken in conjunction with ECON220.

This module provides an introduction to the theoretical concepts and applications of econometrics. Econometric techniques taught include bivariate regression, multiple regression, and two-stage least squares. The importance and relevance of statistical and diagnostic testing are emphasised in the context of econometrics applications.

You will also learn how to use STATA, a statistical package that is used by many academic, governmental, and non-governmental institutions to conduct research and consulting.

This module provides the tools necessary to produce the rigorous economic analyses that form the core of both microeconomics and macroeconomics.

During the first part of the course, the attention is on the dynamic analysis of systems, which is key to understanding how economic variables change over time, especially in response to shifts in government economic policy.

The second part of the course studies constrained optimization which is central to understanding how households and firms make their consumption and production decisions when faced with limited budgets. Throughout the whole course, we focus our analysis on concrete examples and intuition, with an emphasis on how to frame economic problems using the mathematical tools you will acquire in the course.

We will require you to apply the concepts learned in class, and to translate informal problems into formal language.

This module focuses on the role of governments within the economy, looking at the extent to which they can intervene in markets and in other areas such as climate change. It builds your skills in evaluating the effectiveness of economic policies, and provides insights into the difficulties of decision-making in collective-choice environments.

This module helps you improve your strategic thinking. Over the course of this module, you will learn how to use ‘games’ to model strategic situations in the real world, and how to analyse and find out solutions to these games in situations in which players are intelligent and rational. Games including “normal form games”, “extensive form games”, “Bayesian games”, “repetitive games”, and “games with correlation device” will be introduced. Opportunities for playing games with the lecturer and other students will also be provided. The module requires a basic knowledge of algebra, calculus, and economics.

This module examines some theoretical issues involved in gaining knowledge about human societies. We will look at the role of theories and models in economics and political science, the special nature of "social institutions," and whether economic and political knowledge can be separated from value-judgments:

• Rational choice theory and models based on it
• Social norms and cooperation
• John Searle’s theory of “institutional facts”
• The nature of money and different accounts of power
• Whether values can or should be kept out of economics and political science
• Some ways in which states and markets are related

This module covers project evaluation methods, risk, return and the cost of capital (including the capital asset pricing model), corporate financing (including dividend policy and capital structure) and an introduction to options.

In this module we look at the changing role and position of management and managers in organisations and society. Much of modern analysis of management emphasises a change in forms of management control from traditional authority through vertical hierarchical forms to ones which are more horizontal and look to incorporate employees into the organisation and its goals in ever closer ways. This happens for example through attempts to align employees identities, emotions and interests with commitment to the organisation: the much discussed capturing of hearts and minds. Another aspect of this is the manipulation of meaning in order to facilitate this identification of employee and organisation, usually discussed as the corporate culture movement. Together these can be taken as two significant aspects of modern management the management of meaning and the management of identity - which feature little in traditional management texts that emphasise management as the co-ordination of tasks and the control and deployment of resources.

However, it is important to see management and managers within the light of organisation analysis. Managers are not the autonomous agents they are often portrayed, first because they are also employees themselves (albeit in the position of formally representing the interests of capital), and second, they are also subject to organisational structures, cultures and power relations. Perhaps especially in the light of managerial control designed around commitment, integration and identification with the organisation, managers are tied in by the very control strategies that they themselves are promoting. However, as we shall see, there are also important tensions between the changing context of management and these forms of control which can lead to unintended consequences such as impression management and various forms of resistance.

Thus this module focuses on how management is a social process, and what this means for the lived experience of doing management. In exploring this we look at topics which are relevant for the day-to-day experience of managers, although rarely are these addressed in conventional management textbooks: issues such as humour, diversity, impression management and emotional management.

This year of your degree will be spent studying abroad at one of our partner universities. We have exchange agreements with prestigious universities all over the world, and many of our undergraduate degree programmes include a year spent studying at a top international university. Progression to the study abroad year will be dependent upon your performance in the first year of your degree programme. You can learn more about our study abroad programmes on our LUMS Study Abroad web pages.

Each year, students receive specific training by the Management School Careers Team, to prepare them for the graduate labour market. In the first year the focus is on growing the student’s awareness of labour market dynamics and his or her professional aspirations and inclinations. The second year focuses on goal setting, action planning, and developing a personalised career plan. The third year focuses on one-to-one sessions with career advisors. The Career Team is based in the Management School, organises events with employers and alumni, and coaches students on how to best perform in the graduate job market through seminars, surgeries, mock interviews and one-to-one advice.

The course introduces state-of-the-art methods used in current macroeconomics research to understand short-run business cycle and inflation dynamics, as well as economic stabilisation policies.

We will develop a broad and deep knowledge of modern Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models that employ microeconomic foundations and rational expectations. These models will be solved using advanced analytical and numerical-computational approaches. More specifically, we will use the DSGE neoclassical Real Business Cycle and New Keynesian frameworks to understand the different sources of aggregate economic fluctuations, and to examine the positive and normative roles of fiscal and monetary policies.

Finally, the course examines contemporary issues such as inflationary shocks, government debt financing through distortionary taxation, optimal (un)conventional monetary and fiscal policies in a zero interest rate-liquidity trap environment, and financial frictions.

This module explores how the theoretical and mathematical tools of advanced microeconomic theory can be used to understand and model individual and strategic decision making. Topics it covers include advanced concepts of decision making of the main economic agents (consumers and firms), as well as specialised topics on game theory. The module requires algebra and calculus, along with logical thinking and problem-solving ability.

Behavioural Economics is the interface between economics and psychology. It is one of the fastest-growing fields in economics, and since the past decade, it is regarded as a standard tool for policymaking. The course will survey the empirical tools used by behavioural economists and in particular lab and field experiments. We will explore behavioural biases affecting economic and financial decision making, and the role of trust and cooperation in teamwork. We will discuss models and experimental results explaining how we make decisions in various contexts such as choice under uncertainty, intertemporal choice or decision making in a social framework.

Who killed John F. Kennedy? Did the moon landing really happen? Was Covid-19 caused by the erection of 5G network masts? Factual answers to such questions are easily accessible. And yet many people eschew documented facts in favour of conspiracy theories, which explain events and complex phenomena with reference to nefarious forces and alleged hidden machinations of powerful actors. Such narratives are nothing new, but they used to be regarded mostly as a curiosity rather than a serious subject of research. Today communities of conspiracists are no longer considered so benign. As they thrive online, they attract increasing interest of scholars and policymakers, who study their digital influence, their links with political movements and their status as participants in democratic public spheres. This module introduces students to the developing body of research on the origins, spread and the political and social effects of conspiracy theories, including multidisciplinary work seeking to explain why people embrace conspiracies, what (if any) are the harms of such beliefs, what insights can we draw from the study of historical conspiracies (19th and 20th century) and what is the relationship between conspiratorial thinking and other political beliefs.

Current Issues in Economics is a course which is designed to familiarise you with contemporary policy issues. The broad curriculum and the range of issues that will be discussed include the crisis in social care, job retention schemes, the Great Resignation following Covid-19, Brexit, interest rate policy, government debt and the returns to education. During this course, you will prepare a number of reports on a selection of these topics. These will include contemporary data and analyses and will be accessible to policymakers and industry leaders. For one of these reports, you will also deliver a podcast or video log to enhance your verbal presentation skills. There is no formal examination for this module; assessment is via the reports and the video log/podcast.

This module introduces up-to-date knowledge and understanding of the quantitative analysis of economic data based on machine learning and big data methods. We will overview statistical learning and how to use statistical software R for adequate use of data visualisation and manipulation techniques.

Key topics include linear regression, classification, resampling methods (cross-validation and the Bootstrap), Ridge Regression and The Lasso, Tree-Based Methods (Decision Tree, Bootstrap Aggregation (Bagging) and Random Forests), Support Vector Machines, Deep Learning and Neural Networks.

This course focuses on the economics of growth and development, both from a theoretical and empirical perspective. Using examples from developing countries, it explores wide-ranging, policy-relevant topics such as investments in health, education and infrastructure, microeconomics of credit markets, corruption and other determinants of economic development.

This module introduces up-to-date quantitative econometric methods used in applied research/empirical work. We will discuss various economic applications, including “returns to schooling” and “the effect of minimum wages on employment”. The module will also provide students with the data analytical skills necessary to conduct applied research in economics/policy analysis using popular statistical software, STATA. Key topics include linear regression, instrumental variables, causal inferences, binary choice models, panel data, time series modelling, and forecasting.

This module allows students the freedom to explore a research topic of their choice. It combines all of the previous skills acquired throughout the course of study. Students will be expected to write an original work of approximately 7,500 words. While the research topic will vary from student to student, each student will be assigned a supervisor to help guide them through the process of their first large scale research project in economics.

This module is essential for any student wishing to engage in graduate study in economics or for students wishing to work as a professional economist.

This applied module is an introduction to the economics of health and health care and will develop your awareness of the main policy issues in this field. It provides a comprehensive set of economic tools for critically appraising fundamental issues in the economics of health while offering a broad overview of the UK’s National Health Service and other health care systems around the world. The emphasis is on the use and interpretation of microeconomic models and the latest empirical evidence.

This module builds on basic microeconomics concepts to explore competition between firms and the evolution of market structure. It focuses on understanding the way firms make decisions and the effects of those decisions on market outcomes like prices, quantities, the type of products offered, and social welfare. The module first introduces basic concepts in Industrial Organisation to study imperfect competition and the determinants of market power. It then proceeds to analyse important topics in competition policy, such as cartels and merger policy.

The module requires an understanding of intermediate microeconomics (especially production/cost theory), basic concepts of game theory, and basic calculus.

This course provides an introduction to the economics of International Business and their key role in the global economy, incorporating the analysis of internationalising firms and multinational enterprises (MNE). Its conceptual foundations derive from the critical application of relevant economic theories and addresses policy issues highlighting the economic, strategic and financial challenges facing businesses that operate across international borders in a multiple exchange rate environment.

The course covers a range of important topics that facilitate a deeper understanding of the determinants and implications of the activities of international firms in the global economy. These topics include: global trends in research and development (R&D) and implications; the Global Factory, global value chains and the decline of the global firm; the growth and employment effects of international business; and exchange rates, risk and international financial management.

This module develops your understanding of concepts and theories of international trade and factor flows, with particular reference to the way in which such material can inform policymaking. Topics covered include the Ricardian model, the Heckscher-Ohlin model, international trade under imperfect competition, outsourcing and offshoring, trade models based on heterogeneous firms and multinational firms, and trade policy under perfect and imperfect competition. Throughout the module we emphasise the applicability of the models learned, and their relevance to real-world events. Examples include the relationship between labour productivity and wages, opinions toward free trade, and the impact of immigration.

Focusing on the microeconomics of labour and personnel, this module covers topics such as the economics of migration, wage determination, job search and labour market discrimination.

There is a particular emphasis on principal agent problems in human resources and the design of incentives within firms.

Economics theory is used to analyse the operation of labour markers and assess the empirical evidence. Areas covered include:

• the firm's demand for labour
• labour supply at an individual and aggregate level
• causes of wage rigidity
• the economic impact of trade unions
• inflation and unemployment

Policymakers at Central Banks lie in a unique position to influence economic activity. This module examines the role of monetary policy in influencing the expectations and behaviour of agents in the economy and the implications this has for outcomes such as inflation, GDP and household welfare. Students will focus on applications of monetary theory to central banks problems and the recent objectives of the Bank of England Monetary Policy Committee. Topics include Central Bank independence, inflation targeting and the zero lower bound on interest rates, money creation and quantitative easing, and the macroeconomics of pandemics.

This module presents an overview of the interactions between the government, firms, and citizens, using a mix of theory and empirical work. Sometimes, markets are not efficient, and government intervention is necessary. Sometimes, markets are efficient, but equity concerns create the need for government. There is often a tension between the socially optimal policy and the outcome of the democratic process.

Some questions we study in this module:

• What is the role of government in the economy?
• Is it fair to redistribute money through taxation?
• Are some taxes better than others?
• How to deal with pollution, discriminations, and other inefficiencies of the market?
• How to make multinational companies pay taxes?
• Is there such a thing as an ideal voting system?

This module looks at how theoretical and empirical methods can be applied to the growing field of sports economics.

It helps you to understand the particular characteristics of labour and product markets in professional sports, and what implications these have for economic analysis. You will also learn more about how theoretical and empirical work in the economics of sport can be used to inform policy issues, including competitive structures in sports leagues, free agency and player mobility, and the financing of professional sport. You will also gain insights into how betting markets function and why people gamble on sports.