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.

The course provides students with general knowledge and understanding concerning social research and particular methods and methodologies that lie within the positivist and interpretivist paradigms. It is primarily aimed at students from across the management school that are planning to undertake an industrial placement and/or a dissertation in their final year of study. This module helps to prepare you to undertake your own research with a view to highlighting different research approaches and techniques that are used in the production of knowledge.

The module provides an insight into the various ways research can be undertaken and the implications of different approaches. We will examine the conceptual and practical complexities of undertaking research in practice. Initially you will be introduced to research methods and that are most commonly employed in business and management research. The module will then examine the methodological approaches and paradigms that are linked with these methods and the assumptions that underpin positivistic and interpretivist approaches. The final part of the module explores how this understanding can be used in writing your research proposal and dissertation.

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 course is concerned with major theories in social psychology and related social sciences that have guided the organisation and design of work.

In this module students should develop an understanding of the importance of the role of psychology in the development of people management techniques and practices. They will also develop an understanding of the historical development of psychology, with specific reference to the relevance of psychological expertise to the effective management of organisations.

This module explores efforts to facilitate peace in the contemporary Middle East. Following the US-led invasion of Iraq in 2003, the Middle East has endured a range of serious challenges to the ordering of political life across a number of different states, with serious repercussions for people and their daily lives. Focussing on a range of contemporary challenges including (but not limited to) the rise of sectarianism, geopolitical tensions, the struggle over political participation, and popular protest, the module asks how these issues can be addressed drawing on approaches found in Peace Studies and Political Theory.

This module provides students with a thorough understanding of the nature and operations of the company where they are working during their industrial placement year. Students need to be cognisant of the company's history, the current nature of its operations, the competition it faces, and the threats and opportunities for the organisation.

In your first year you'll apply for placements in business or industry, and will take a module to prepare you for the placement year. The whole of your third year will then be spent working in a paid placement, supported by the Careers team. Near the end of the placement, you'll submit a proposal for your dissertation topic, inspired by your experiences during the placement year, which you'll complete in fourth year under the supervision of an academic tutor.

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.

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 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.

The objective of this module is to offer a practical introduction to the workings of today’s financial markets and institutions built on a theoretical base. Moving beyond the descriptions and definitions provided by other textbooks and UK university courses in the field, this module encourages students to understand the connection between the theoretical concepts and their real-world applications.

Topics include foreign exchange, stock markets, bond markets, derivatives, central banks' monetary policy and financial crises. We also look at how trading in financial markets takes place. This module prepares students for successful careers in the financial services industry or successful interactions with financial institutions, whatever their future careers.

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

Organisational change is widely accepted as a defining feature of contemporary life. Most of the topics covered in management courses, for example, structure; technology; people; power; culture; strategy; leadership and learning, to name a few, assume the need for changes of one kind or another. This course of lectures and the associated seminar programme review some key ideas associated with approaches to change. Seminal approaches to the field that can be said to conceptualise change management are introduced and compared, particularly those at the micro - that is the individual and group level.

Material included in the course will help you understand your own and other peoples' reactions to changes. It will help you develop informed opinions about theories of change and will help you to understand how changes might be managed effectively. Expressed more formally, the course will

• introduce you to some key management and social, and behavioural science contributions in the field;

• help you to compare different orientations and to appreciate their relative strengths and weaknesses;

• help you to relate such ideas to actual events in organisations; and,

• help you to understand and evaluate your own approaches to the management of change and to evaluate management practices in this area.

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 is designed as an introduction to econometric and time series methods for the analysis and research of financial assets and capital markets relationships. The focus will be on the analysis of financial data and econometric methods for modelling of financial time series, risk management and forecasting. The key objectives are to i) explain how econometric methods can be used to learn about the behaviour of financial assets; ii) endow students with practical experience of analysing financial data useful for research and practical work in the quantitative finance industry using basic statistical software packages; and iii) endow students with the relevant quantitative skills for advanced studies in MSc programmes.

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.