A Level Requirements
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see all requirements
Full time 3 Year(s)
Lancaster’s degree in Accounting, Finance and Mathematics will develop your understanding of the professional application of advanced mathematical and statistical techniques in accountancy and finance. Accredited by the major British accountancy bodies, your degree also provides exemptions from certain professional examinations.
You will study the core aspects of Accounting and Finance, such as external and internal reporting, investor decision-making, and market analysis. You’ll also learn the key elements of relevant Mathematics, such as calculus, probability and statistics.
Your degree begins with the study of first-year subjects including an Introduction to Accounting and Finance, Calculus, and Matrix Methods. In your second year, you’ll move on to modules such as Accounting Information Systems and Auditing; Principles of Financial Accounting, and Management Accounting for Business Decisions. Subjects studied in the final year include Financial Accounting and Likelihood Inference.
A Level AAB
Required Subjects A level Mathematics grade A
GCSE Mathematics grade B, English Language grade B
IELTS 6.5 overall with at least 5.5 in each component. For other English language qualifications we accept, please see our English language requirements webpages.
International Baccalaureate 35 points overall with 16 points from the best 3 Higher Level subjects
BTEC Considered alongside A level Mathematics grade A
Access to HE Diploma May occasionally be accepted
We welcome applications from students with a range of alternative UK and international qualifications, including combinations of qualification. Further guidance on admission to the University, including other qualifications that we accept, frequently asked questions and information on applying, can be found on our general admissions webpages.
Contact Admissions Team + 44 (0) 1524 592028 or via firstname.lastname@example.org
Many of Lancaster's degree programmes are flexible, offering students the opportunity to cover a wide selection of subject areas to complement their main specialism. You will be able to study a range of modules, some examples of which are listed below.
This module provides the student with an understanding of functions, limits, and series, and knowledge of the basic techniques of differentiation and integration. We introduce examples of functions and their graphs, and techniques for building new functions from old. We then consider the notion of a limit and introduce the main tools of calculus and Taylor Series. Students will also learn how to add, multiply and divide polynomials, and be introduced to rational functions and their partial fractions.
The exponential function is defined by means of a power series which is subsequently extended to the complex exponential function of an imaginary variable, so that students understand the connection between analysis, trigonometry and geometry. The trigonometric and hyperbolic functions are introduced in parallel with analogous power series so that students understand the role of functional identities. Such functional identities are later used to simplify integrals and to parametrise geometrical curves.
This module extends the theory of calculus from functions of a single real variable to functions of two real variables. Students will learn more about the notions of differentiation and integration and how they extend from functions defined on a line to functions defined on the plane. We see how partial derivatives help us to understand surfaces, while repeated integrals enable us to calculate volumes. Students will also investigate complex polynomials and use De Moivre’s theorem to calculate complex roots.
In mathematical models, it is common to use functions of several variables. For example, the speed of an airliner can depend upon the air pressure, temperature and wind direction. To study functions of several variables, we introduce rates of change with respect to several quantities. We learn how to find maxima and minima. Applications include the method of least squares. Finally, we investigate various methods for solving differential equations of one variable.
This course provides a comprehensive introduction to the basic concepts and techniques of Accounting and Finance, which include financial accounting, managerial finance, and financial statement analysis.
An important element of this course is that it provides exposure to the business and financial environment within which the discipline of Accounting and Finance operates, using real-world financial data for actual companies.
The course covers concepts, techniques and interpretive skills that relate to the external financial reporting of companies and their relationship to the stock market, and to the use of accounting information for internal management purposes.
Introducing the theory of matrices together with some basic applications, students will learn essential techniques such as arithmetic rules, row operations and computation of determinants by expansion about a row or a column.
The second part of the module covers a notable range of applications of matrices, such as solving systems of simultaneous linear equations, linear transformations, characteristic equation and eigenvectors and eigenvalues.
Providing a thorough introduction to the discipline of Economics, this module is divided into two parts. The first part covers microeconomic analysis, including the theory of demand, costs and pricing under various forms of industrial organisation, and welfare economics. Many applications of theoretical models are examined. The second part focuses on macroeconomic analysis, including national income analysis, monetary theory, business cycles, inflation, unemployment, and the great macroeconomic debates.
Probability theory is the study of chance phenomena, the concepts of which are fundamental to the study of statistics. This module will introduce students to some simple combinatorics, set theory and the axioms of probability.
Students will become aware of the different probability models used to characterise the outcomes of experiments that involve a chance or random component. The module covers ideas associated with the axioms of probability, conditional probability, independence, discrete random variables and their distributions, expectation and probability models.
This module will provide you with the opportunity to undertake a personal skills audit as part of the CV assignment. It will enable you to identify your current skills level and begin to collect evidence of skills acquisition. It will cover a detailed analysis of the individual in terms of personality, skills, goals, interests and career ideas, and self-development. It would include organisation recruitment processes, including consideration of what organisations are looking for, the nature of ‘transferable skills’ and how these can be developed, and how organisations can select and train people.
To enable students to achieve a solid understanding of the broad role that statistical thinking plays in addressing scientific problems, the module begins with a brief overview of statistics in science and society and then moves on to the selection of appropriate probability models to describe systematic and random variations of discrete and continuous real data sets. Students will learn to implement statistical techniques and to draw clear and informative conclusions.
The module will be supported by the statistical software package ‘R’, which forms the basis of weekly lab sessions. Students will develop a strategic understanding of statistics and the use of associated software, and this underpins the skills needed for all subsequent statistical modules of the degree.
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, including the regulatory framework, audit planning, systems auditing and substantive testing.
This is the second component of three and consists of further employability skills such as applying for graduate jobs or postgraduate study; a 'refresh' of the application process; signposting to extra support, constructing a Personal Career Plan, plus an introduction to and preparation for the third component.
This module will give you the opportunity to study vector spaces, together with their structure-preserving maps and their relationship to matrices.
You’ll 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 your 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 as well as risk, return and the cost of capital, including the capital asset pricing model. Corporate financing, including dividend policy and capital structure, options, and working capital management will also be investigated.
This module examines the main features of financial reporting by UK companies as well as the regulatory requirements and conceptual bases associated with these, with attention given to the UK Companies Acts and international accounting standards. Time will also be devoted to inflation accounting, group accounts, and problem areas and to specific reporting topics of current interest and concern.
Probability provides the theoretical basis for statistics and is of interest in its own right.
You’ll revisit basic concepts from the first year probability module, and extend these to encompass continuous random variables, investigating several important continuous probability distributions.
You’ll 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 this module we approach this problem by specifying a statistical model for the data. Statistical models usually include a number of unknown parameters, which need to be estimated.
You’ll focus on likelihood-based parameter estimation to demonstrate how statistical models can be used to draw conclusions from observations and experimental data, and also considering linear regression techniques within the statistical modelling framework.
This module deals with accounting for complex entities, addressing concepts, issues and techniques.
It examines accounting for business combinations, goodwill and strategic investments, and other aspects of consolidation, foreign currency translation, segmental reporting, and accounting for financial instruments, all within the context of modern accounting theory.
This module develops your ability to critically evaluate advanced financial accounting issues, placing this within the international accounting context. It focuses on International Financial Reporting Standards (IFRS), with appropriate and relevant comparisons to US GAAP.
Other topics covered include the accounting treatments of taxation, leases, pensions, provisions and contingent liabilities. The module also looks at empirical research on issues of relevance to accounting practitioners and accounting regulators.
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.
You’ll 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.
The third component of a thrre part module taught throughout your studies and consists of a project utilising basic skills required by most employers, e.g. report writing, presentations, IT skills, etc. within the context of a topic related to the student's probably employment sector target, e.g. finance, auditing, accounting, etc..
This module examines corporate financing and investment decisions, focusing in particular on settings where companies’ assets and liabilities contain embedded options. Topics covered include valuation of options, investment appraisal, valuation of warrants and convertibles, capital structure, and mergers and restructuring.
Lancaster University offers a range of programmes, some of which follow a structured study programme, and others which offer the chance for you to devise a more flexible programme. We divide academic study into two sections - Part 1 (Year 1) and Part 2 (Year 2, 3 and sometimes 4). For most programmes Part 1 requires you to study 120 credits spread over at least three modules which, depending upon your programme, will be drawn from one, two or three different academic subjects. A higher degree of specialisation then develops in subsequent years. For more information about our teaching methods at Lancaster visit our Teaching and Learning section.
Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.
The skills you develop in your subject areas will open up exciting careers in accountancy, management and finance-related fields of work.
You may choose to follow in the footsteps of many previous Lancaster graduates who have gone straight into professional accountancy with a training contract at a professional firm. Alternatively, you may prefer to use the transferable skills you gain - such as analytical ability, logical thinking and project management - to successfully enter a career in fields including banking, general and financial management and consulting
Lancaster University is dedicated to ensuring you not only gain a highly reputable degree, you also graduate with the relevant life and work based skills. We are unique in that every student is eligible to participate in The Lancaster Award which offers you the opportunity to complete key activities such as work experience, employability awareness, career development, campus community and social development. Visit our Employability section for full details.
Lancaster Management School has an award winning careers team to provide a dedicated careers and placement service offering a range of innovative services for management school students. Our high reputation means we attract a wide range of leading global employers to campus offering you the opportunity to interact with graduate recruiters from day 1 of your degree.
We set our fees on an annual basis and the 2018/19 entry fees have not yet been set.
As a guide, our fees in 2017 were:
Some science and medicine courses have higher fees for students from
the Channel Islands and the Isle of Man. You can find more details here:
For full details of the University's financial support packages including eligibility criteria, please visit our fees and funding page
Students also need to consider further costs which may include books, stationery, printing, photocopying, binding and general subsistence on trips and visits. Following graduation it may be necessary to take out subscriptions to professional bodies and to buy business attire for job interviews.
Average time in lectures, seminars and similar
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