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.

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 provides a detailed analysis of four key Finance paradigms:

1. decision making under uncertainty, including utility theory,
2. state preference theory and arbitrage pricing
3. capital asset pricing and market equilibrium,
4. option pricing.

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 an introduction to the use of management accounting information for management purposes. This includes an examination of cost-volume profit analysis, the concepts of direct and indirect costs, and various costing methods. The importance of budgets to organisations and their impact on performance are also discussed.

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 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.

This module examines some of the main features of financial reporting by UK companies, the associated regulatory requirements and the concepts that underlie the preparation of general-purpose financial reporting. The module employs a practical, applied approach in exploring several key International Financial Reporting Standards related to topics of current interest and concern, including revenue from contracts with customers and financial instruments.

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 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.

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.

This course equips students with the knowledge to apply corporate finance theory to real-world situations. It builds on and extends the concepts covered in the basic financial management courses and introduces advanced topics in Corporate Finance. The major topics covered include capital budgeting, capital structure, corporate valuation, real options, equity financing for startups, IPOs, leasing, short term financing, merger and acquisitions, and corporate governance

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.

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 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 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 module provides knowledge that is important to those concerned with financial management in a multinational setting. Areas covered include the relationships between exchange rates, interest rates and inflation rates, forward, futures and options markets, and corporate exchange rate risk 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.

The aim of this module is to equip students with the tools necessary to enable them to make the core investment management decisions that managers face on a daily basis as well as the knowledge as to where they can find the information necessary to apply those tools. This course is an introduction to investment analysis, with emphasis on the pricing of equity securities. This course covers fundamental concepts and key issues in asset pricing; modern portfolio theory and its applications; equilibrium theories of asset pricing; portfolio performance evaluation; mutual funds and hedge funds. It provides an entry point to advanced-level subjects and foundational knowledge on the valuation and arbitrage of investment assets.

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.

The main purpose of this module is to give students a thorough grounding in the materials expected of a professional financial analyst and thus prepare students to take the Chartered Financial Analyst (CFA) Level 1 examination.

As such, it will introduce and review the theories, methods and professional standards relating to financial analysis; help students apply the knowledge and skills developed during this and other modules to the investment problems encountered by professional financial analysts; and prepare students to sit and pass the February CFA Level-1 exam administered by the CFA Institute.

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.