This module provides an overview of the design and main features of accounting information systems (AIS). It introduces methods used by business to meet the financial information needs of external parties and management and includes systems used for collecting, recording and storing transactions data, internal controls and effective design of AIS. It also provides an introduction to auditing, explaining why audit independence is a key factor in this profession. The module also examines some specific topics in auditing and relates these to the AIS syllabus, including materiality, going concern and the formulation of audit opinions.

Students will gain a solid understanding of computation and computer programming within the context of maths and statistics. This module expands on five key areas:

• Programming and R
• Numerical solutions of equations
• Numerical differentiation and integration
• Monte Carlo methods
• Numerical solutions to ODEs

Under these headings, students will study a range of complex mathematical concepts, such as: data structures, fixed-point iteration, higher dimensions, first and second derivatives, non-parametric bootstraps, and modified Euler methods.

Throughout the module, students will gain an understanding of general programming and algorithms. They will develop a good level of IT skills and familiarity with computer tools that support mathematical computation.

Over the course of this module, students will have the opportunity to put their knowledge and skills into practice. Workshops, based in dedicated computing labs, allow them to gain relatable, practical experience of computational mathematics.

Students will be provided with the foundational results and language of linear algebra, which they will be able to build upon in the second half of Year Two, and the more specialised Year Three modules. This module will give students the opportunity to study vector spaces, together with their structure-preserving maps and their relationship to matrices.

They will consider the effect of changing bases on the matrix representing one of these maps, and will examine how to choose bases so that this matrix is as simple as possible. Part of their study will also involve looking at the concepts of length and angle with regard to vector spaces.

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 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.

Probability provides the theoretical basis for statistics and is of interest in its own right.

Basic concepts from the first year probability module will be revisited and extended to these to encompass continuous random variables, with students investigating several important continuous probability distributions. Commonly used distributions are introduced and key properties proved, and examples from a variety of applications will be used to illustrate theoretical ideas.

Students will then focus on transformations of random variables and groups of two or more random variables, leading to two theoretical results about the behaviour of averages of large numbers of random variables which have important practical consequences in statistics.

Statistics is the science of understanding patterns of population behaviour from data. In the module, this topic will be approached by specifying a statistical model for the data. Statistical models usually include a number of unknown parameters, which need to be estimated.

The focus will be on likelihood-based parameter estimation to demonstrate how statistical models can be used to draw conclusions from observations and experimental data, and linear regression techniques within the statistical modelling framework will also be considered.

Students will come to recognise the role, and limitations, of the linear model for understanding, exploring and making inferences concerning the relationships between variables and making predictions.

This module supports you with your professional development while you are away on placement. You will consciously consider your learning opportunities and actively engage in reflective practice.

This module deals with accounting for complex entities, addressing concepts, issues and techniques.

It examines accounting for business combinations, goodwill and strategic investments (associates and joint ventures), and other aspects of consolidation, foreign currency translation and earnings per share, all within the context of modern accounting theory.

This module develops students' critical evaluation of advanced financial accounting issues and places this within the international accounting context. Topics covered include the accounting treatments of taxation, pensions and share-based payments. The module also introduces theoretical foundations and empirical research on issues of relevance to accounting practitioners and accounting regulators in topic areas such as earnings management, building on and extending the basics introduced in other modules

Statistical inference is the theory of the extraction of information about the unknown parameters of an underlying probability distribution from observed data. Consequently, statistical inference underpins all practical statistical applications.

This module reinforces the likelihood approach taken in second year Statistics for single parameter statistical models, and extends this to problems where the probability for the data depends on more than one unknown parameter.

Students will also consider the issue of model choice: in situations where there are multiple models under consideration for the same data, how do we make a justified choice of which model is the 'best'?

The approach taken in this course is just one approach to statistical inference: a contrasting approach is covered in the Bayesian Inference module.

This module aims to extend students’ understanding of management accounting, focusing on three distinct approaches to the discipline: conceptual, practical and applied. The conceptual material in the course will seek to develop critical thinking skills for students by inviting them to consider the wide range of philosophical and economic theories that fit with the management accounting paradigm. The practical element of the course will introduce students to new management accounting techniques, including the role of uncertainty in management accounting, management control systems and the use of transfer pricing. The applied material will centre on a series of case study classes in which students will be required to engage with case study material and articulate their ideas about how to help the case organisation solve the particular problems that it faces.

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

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 introduces: the use of accounting numbers in the valuation of businesses; the properties of accounting ratios; accounting quality analysis; financial distress prediction; relationships between share prices and accounting numbers.

This module provides a foundation in banking by familiarising students with the basic business activities of banks, and illustrates the role of banks for the economy while retaining a bank-level rather than a macroeconomic perspective. It also highlights the role of regulation and supervision in the banking industry to differentiate banking from all other industries, and how crises reshape regulation in banking. The objective of this module is to introduce banking and what is special about it into the curriculum to equip students with a basic foundation to pursue careers in the banking industry.

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 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.

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.

This module examines the economic rationale for auditing, the structure of the industry and considers some of the problems faced by the auditing industry. Fundamental issues involved in auditing financial statements and financial information systems are examined.

This module investigates the role of ethics in business life. The course looks at this topic from multiple perspectives, considering various theories and models that help to unpack both individual and corporate ethics. The syllabus includes stakeholder analysis and management, corporate social responsibility, different forms of ethical reporting, various codes of governance and conduct, and some ethics-related aspects of UK law.

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 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.

Investors, business executives, regulators and the accountancy profession increasingly recognise that social and environmental challenges pose significant risks to the financial resilience of business while also providing many novel opportunities. Accountancy plays a major role in effective management of these risks and opportunities to build resilient businesses.

In this module, you will learn about cutting-edge developments in accounting for sustainability for the improvement of business resilience. You will also develop your knowledge and understanding about the importance of awareness of the changing social and institutional context within which organisations operate.

This module gives you an understanding of the economic and social impact of taxation and how these impacts influence the formation of tax policy. It covers the basic principles of UK income tax, corporation tax and other taxes, and teaches you the skills needed to perform basic tax computations.