Teaching and assessment for Accountancy and Mathematics BSc (Hons)

This module looks at organisations and their internal and external environments. You will be introduced to management and marketing, corporate governance and ethics, and human resources.

The financial environment will be covered including finance strategies and sources of finance, financial analysis, and personal finance.

Accountants prepare, use and communicate information that enables both themselves and others to make critical business decisions. Some of that information will be used for internal business decision-making.

As such, accountants must understand how basic accounting information is compiled. This module will then focuses on how that material is managed.

Mathematics 1A is an introductory mathematics module.

It covers fundamental concepts such as algebra, calculus, and geometry.

The topics covered provide a solid foundation for more advanced studies. Skills covered include:

• learning to solve equations
• understand functions
• analyse graphs

Mathematics 1B builds on the foundational concepts introduced in Mathematics 1A. You will be introduced to matrices. You will learn about the use of vectors in 3D geometry, integral calculus, and basic differential equations. It ensures you are well-prepared for future studies in a maths or other numerate degree courses.

This module introduces you to statistics and probability. Statistics is the science of collecting, analysing, and interpreting data, and is used to draw conclusions from data. Probability is the study of chance and randomness which can be used to predict the likelihood of an event occurring.

Starting university is a big step and we’re here to help you make the most of it.

No matter what subject you’re studying, there are important life and study skills that will help you succeed now and in the future.

An introduction to the decisions made by a financial manager, such as investment decisions, risk analysis, working capital management based on financial data and using spreadsheet packages such as Excel. 

You will learn about a key structure called a vector space.

Some of the simplest vector spaces are subsets of the 3-dimensional space in which we live. There are many other sets that share this structure.

You will learn more about solving differential equations.

Previously seen concepts such as linear independence, basis and null spaces are explored. This will be in the context of matrix algebra.

Concepts such as determinants and eigenvalues will be introduced.

Learn about partial derivatives and their properties.

Study integration of multi-variable functions including techniques such as change of variables.

You will learn to use data from a sample of a population to deduce information about the average properties of the whole population.

You will also learn how to use the software package RStudio to do calculations with data.

Now that you’ve settled into university life, it’s time to build on the foundations you set in your first year.

This second-year module is all about helping you take your development to the next level. This will cover this from a personal, academic, and professional perspective.

This module introduces you to different goals of the firm and many key theories in financial management.

Theories include modern portfolio theory, the Capital Asset Pricing Model, the Efficient Markets Hypothesis, dividend theory, and capital structure theory.

It considers project risk management and how investment decisions are made in practice.

Auditing examines financial information, records, statements, transactions, and processes to ensure their accuracy, fairness, and compliance with the Companies Act.

Learn about investing across borders, the history and current operation of multinationals, the role of corporate treasurers and the wider economic environment.

Explore the topics of exchange rates, interest rates, markets and political risk.

This module explores an area of calculus involving derivatives of functions. Derivatives give the rate of change of a function. For example, speed is the rate of change of distance, while acceleration is the rate of change of speed. Differential equations are equations that involve functions and their derivatives.

This module explores vector calculus, which is an area of mathematics that combines 3D geometry with calculus. Vector calculus is concerned with differentiation and integration of functions in 3D space. It can apply to either scalar-valued functions or vector-valued functions.

Scientific computing offers tools, techniques, and theories that enable computer-assisted solutions to complex problems.

This introductory module explores numerical linear algebra and how computations work in practice. You will use MATLAB to develop algorithms for the numerical solution of important scientific problems.

You will gain hands-on experience applying your mathematical knowledge in a professional environment. You'll work with an organisation in an industry such as finance, technology, research, or engineering. This will allow you to tackling real-world problems. You will make use of analytical and computational skills that you have previously gained.

You will learn how to analyse the financial statements of companies and use financial statement data to forecast financial distress, predict risk and estimate future earnings.

The financial statements of not-for-profits and banks will also be analysed in order to assess these organisations' performances.

Taxation is the process by which governments impose financial charges on individuals, businesses, and entities within the UK.

Learn about the principles of Capital Gains Tax (CGT), Inheritance Tax (IHT), Corporation Tax (CT), Scottish taxes, UK tax planning and ethics, relevant aspects of international taxation, and current tax issues.

You will learn about the importance of corporate governance in the modern world.

This includes discussion of attempts to introduce rules setting out board structure and conduct, as well as the implications of large scale failures. International comparisons of systems and outcomes are made throughout.

Investors need to decide on what shares to buy or sell when selecting securities for their investment portfolios.

This module shows the different techniques and models that can be used for share selection.

The literature on how securities should be priced and how investors appraise securities in practice is studied.

Contemporary Issues in International Reporting refer to current challenges and trends faced by businesses in presenting accurate and transparent financial information across borders. This module complements others in your 4th year to give a wider understanding of the world of accounting.

The module looks at issues associated with corporate restructuring events such as mergers and acquisitions (M&A), buyouts, and strategic alliances.

These events are some of the most important in the growth and development of a business.

You will learn about the techniques used to value the assets that are traded in modern markets and included in investors' portfolios.

You will also learn about the way in which behavioural finance thinking can help in predicting and understanding investors' portfolio decision-making.

Develop a deeper understanding of audit, assurance, and ethics by considering issues in an international and national context.

Get a thorough understanding of contemporary assurance and ethical accounting concerns by considering current topics.

This module explores calculus, specifically to find derivatives of functions. Ordinary Differential Equations (ODEs) are equations involving derivative terms.

Very few ODEs can be solved exactly, so methods have been developed to find approximate solutions. In this module, you will learn the basic numerical methods for calculating these approximate solutions.

Derivatives give the rate of change of a function. If functions have more than one input variable then this gives partial derivatives. Partial differential equations (PDEs) are equations involving partial derivative terms. In this module, you will be given a broad introduction to PDEs.

Mathematical Statistics is the application of probability theory to statistics. This is an important area, providing useful connections to other areas of Mathematics. Mathematical Statistics has applications across the sciences, business, government, and more. It is a core topic in the growing area of Data Science.