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  • A broad range of core modules ensures you have a strong understanding of the main areas of mathematics and finance from which to pursue your interests
  • Develop your problem-solving skills using mathematical and statistical techniques in mathematical and financial applications
  • Enhance your knowledge, understanding and technical skills to enter a wide range of exciting careers in a global work environment

Mathematics and Finance form a perfect symbiotic relationship. Mathematics underpins our knowledge of finance, while finance flows from our understanding of mathematics, and both are integral to modern day life. If the pioneering mathematician Fibonacci had not applied the ancient wisdom of Hindu-Arabic numerals to business, we might still be bartering goats and sheep.

Our Mathematics and Finance programme is designed to provide you with a sound basis of knowledge and skills in the main areas of mathematics and finance and also a detailed understanding of abstract mathematical concepts, logical argument and deductive reasoning.

The course has been structured to introduce you to the major branches of mathematics and finance and enable you to develop your understanding of the coherence, logical structure and broad applicability of mathematics and finance. You discover the values of research and in-depth study using mathematical and financial tools and resources. You also develop your ability to abstract and generalise, to model various phenomena and interpret numerical data.

Core modules in the first year include Algebra, Calculus, Statistics, Finance, and Management Accounting. You build on these in Year 2 with modules such as Career Management, Mathematics for Finance and a more in-depth look at Financial Management.

In Year 3, you progress to Differential Equations, Statistical Modelling, Investments and  Financial Risk Management. You also carry out your own project tailored to your interests. Optional modules may include Business Ethics and Strategic Innovation Management.

Mathematics and Finance are a winning combination. Our joint honours course at Winchester provides you with the knowledge, understanding and confidence to enter well-paid, international careers. Both disciplines encourage you to develop skills such as problem-solving, rigorous argument and effective communication, which are greatly in demand in many employment sectors.

Rewarding professional careers await you in the banking, finance, accountancy and insurance sectors, in marketing and government research agencies and in the teaching and academic professions.


Graduates of the BSc Mathematics and Finance programme will be able to enter a wide range of business careers in the public, private and third sectors. Opportunities exist in the banking, finance, accountancy and insurance sectors, in marketing and government research agencies and in the teaching and academic professions. 

94.4% of our 2015/16 graduates (first degree and other undergraduate courses) were in employment and/or further study six months after completing their course.

Pre-approved for a Masters

If you study a Bachelor Honours degrees with us, you will be pre-approved to start a Masters degree at Winchester. To be eligible, you will need to apply by the end of March in the final year of your degree and meet the entry requirements of your chosen Masters degree.


Suitable for applicants from:

UK, EU, World

Learning and teaching

Our aim is to shape 'confident learners' by enabling you to develop the skills needed to excel in your studies here and as well as onto further studies or the employment market. 

You are taught primarily through a combination of lectures and seminars, allowing opportunities to discuss and develop your understanding of topics covered in lectures in smaller groups.

In addition to the formally scheduled contact time such as lectures and seminars etc.), you are encouraged to access academic support from staff within the course team, your personal tutor and the wide range of services available to you within the University.

Independent learning

Over the duration of your course, you will be expected to develop independent and critical learning, progressively building confidence and expertise through independent and collaborative research, problem-solving and analysis with the support of staff. You take responsibility for your own learning and are encouraged to make use of the wide range of available learning resources available.

Overall workload

Your overall workload consists of class contact hours, independent learning and assessment activity.

While your actual contact hours may depend on the optional modules you select, the following information gives an indication of how much time you will need to allocate to different activities at each level of the course.

Year 1 (Level 4): Timetabled teaching and learning activity*
  • Teaching, learning and assessment: 432 hours
  • Independent learning: 768 hours
Year 2 (Level 5): Timetabled teaching and learning activity*
  • Teaching, learning and assessment: 360 hours
  • Independent learning: 840 hours
Year 3 (Level 6): Timetabled teaching and learning activity*
  • Teaching, learning and assessment: 360 hours
  • Independent learning: 840 hours

*Please note these are indicative hours for the course. 

At each level, lectures are utilised to stimulate interest in the modules, to define the syllabus and to guide students in their learning and development of critical analysis. In tutorials and problem classes the use of discussion groups, case studies, student-centred activities and multimedia presentations will encourage students' participation in the learning process and foster cohort identity, peer interaction and support. These activities are designed to develop students' specific subject knowledge and understanding and to increase their ability and capacity to analyse and critically evaluate. The learning and teaching strategy is also designed to develop students' professional/vocational skills linked to time management, communication, problem solving and team work.

Further detail on the learning and teaching methods employed:

  • Lectures provide a framework for discussion of key concepts, research, theories and models relating to the fields of mathematics and finance and explore relationships between these and their application in practice.
  • Seminars and problem classes provide students the opportunity to work in small groups on activities which are designed to apply theory to practice and analyse and evaluate implications. Case studies, problem based learning and real time problems are incorporated into seminar activities. 
  • Presentations from guest speakers including professionals from industry and academic researchers.
  • Individual and group projects to encourage collaborative working. 
  • Student presentations
  • Guided and supported independent study and research.


Taught elements of the course take place on our King Alfred Campus Winchester) or at our West Downs Campus (Winchester)


Our validated courses may adopt a range of means of assessing your learning. An indicative, and not necessarily comprehensive, list of assessment types you might encounter includes essays, portfolios, supervised independent work, presentations, written exams, or practical performances.

We ensure all students have an equal opportunity to achieve module learning outcomes. As such, where appropriate and necessary, students with recognised disabilities may have alternative assignments set that continue to test how successfully they have met the module's learning outcomes. Further details on assessment types used on the course you are interested in can be found on the course page, by attending an Open Day or Open Evening, or contacting our teaching staff.

Percentage of the course assessed by coursework

The assessment balance between examination and coursework depends to some extent on the optional modules you choose. The approximate percentage of the course assessed by different assessment modes is as follows:

Year 1 (Level 4)*:
  • 17% coursework
  • 83% written exams
  • 0% practical exams
Year 2 (Level 5)*:
  • 44% coursework
  • 56% written exams
  • 0% practical exams
Year 3 (Level 6)*:
  • 52% coursework
  • 48% written exams
  • 0% practical exams

*Please note these are indicative percentages and modes for the programme.


We are committed to providing timely and appropriate feedback to you on your academic progress and achievement in order to enable you to reflect on your progress and plan your academic and skills development effectively. You are also encouraged to seek additional feedback from your course tutors.

Further information

For more information about our regulations for this course, please see our Academic Regulations, Policies and Procedures



2018 Entry: 104-120 points

Students require A-level mathematics at C or above.

A GCSE A*-C or 9-4 pass in Mathematics and English Language is required.

If English is not your first language: 

Year 1/Level 4: IELTS 6.0 overall with a minimum of 5.5 in writing

Course Enquiries and Applications

Telephone: +44 (0) 1962 827234

Send us a message

International Students

International students seeking additional information about this programme can send an email to or call +44 (0)1962 827023

Visit us

Explore our campus and find out more about studying at Winchester by coming to one of our Open Days

Additional requirements

Direct entry to Levels 5 is available to students demonstrating the required level of technical skills and subject knowledge. This will be evidenced by, and dependent upon, the module content studied and the grades achieved. Students are normally required to have achieved grades at least equivalent to a 2:2 classification in all Mathematics modules studied prior to the level of entry.

Year 1 (Level 4)

Modules Credits


This module aims to introduce the core concepts and key topics areas of business finance and financial environment. It will enable students to develop knowledge and understanding of how the financial markets operate, evaluate alternative sources of finance available to a business, analyse the cost of difference sources of finance used by a company and the weighted average cost of capital. Students will also learn how to apply the cost of capital in the investment appraisal process and evaluate the investment projects using the main investment appraisal methods.


The provision and analysis of financial and operating information is a specialised service function primarily involving the collection, storage and recording of financial and operating data, its conversion to useful information and the effective communication of this information. This information assists management in a complex and dynamic business environment to make optimal business decisions.


This module aims to lay foundations in probability and distribution theory, data analysis and the use of statistical software, which will be built upon in later modules. It begins by defining probability via axioms and develops some of its useful properties. Random variables are introduced, and the properties of probability used to develop distributions of practical importance. Statistical analysis is introduced with simple ideas of summarising data (implemented in R). Basic ideas of statistical inference (including techniques of estimation, confidence intervals and hypothesis testing) are also covered and applied to data sets.


Programming in a high-level computer language. Applications of algorithms to problems in various areas of discrete mathematics. The student will be exposed to a rigorous and thorough treatment of algorithms and their implementation. Particular attention will be paid to applications to graph theory and number theory.


Linear Algebra with Differential Equations 20

In this course students develop an understanding of the basic theory, applications and connections of linear algebra and differential equations. Topic include vector spaces, matrices, determinants, linear transformations, eigenvectors, first order ordinary differential equations, second order linear differential equations and systems of differential equations. The tools of logic, as well as foundational material on sets and functions that are required are introduced in the first part of the module.


Year 2 (Level 5)

Modules Credits


The module builds on the introductions to management accounting and business finance studied in year 1, and prepares students for advanced aspects of management accounting and finance in year 3. This module will cover the design, use, application and evaluation of management accounting systems and techniques in organisations, as well as covering aspects of financial management that complement the work of management accountants, such as investment appraisal techniques. There will be a focus both on the practical commercial context and the theoretical underpinnings of the planning, control and decision-making processes in organisations.


The first half of this course builds on the material covered in Probability and Statistics by investigating several aspects of Statistical Distribution Theory. The aim of the second half of this module is to describe the theory and methods of using linear statistical models in analysing data to understand the influence of one or more explanatory variables and to make predictions about the response.


The first part of this course represents a traditional semester long course on Group Theory. Here, the elements of groups are introduced and all relevant theorems carefully demonstrated.

The second part of this course is focused on the interactions between geometry and group theory. Specifically, on groups actions on points, lines, planes and conic sections.


This course is, roughly, divided into two parts: the first one entails a first course on mathematical modelling while the second part focuses on numerical methods and their implementation with MATLAB.

The mathematical modelling half of the course focuses on an introduction to mathematical modelling by exploring: the fundamentals of Newton’s laws and motion in a central field; Markov Chains; and Game Theory. The latter half is concerned mainly with numerical methods for solving linear equations and finding solutions to ODEs and PDEs.

Year 3 (Level 6)

Modules Credits

  • Metric Spaces and Topology 30 Credits
  • Mathematical Modelling 30 Credits
  • Volunteering for Mathematicians 15 Credits
  • Strategic Analytics 15 Credits
  • Strategic Forecasting and Simulation 15 Credits

Please note the modules listed are correct at the time of publishing, for full-time students entering the programme in Year 1. Optional modules are listed where applicable. Please note the University cannot guarantee the availability of all modules listed and modules may be subject to change. For further information please refer to the terms and conditions at [LINK] The University will notify applicants of any changes made to the core modules listed above.


The course is focused on financial risk analysis (first part) and derivatives pricing (second part). In addition, it involves the implementation of MATLAB for the handling and modelling of current financial data.


This course is split into 2 one-semester modules; Metric Spaces in first semester followed by Topology on the second. The first module introduces the theory of metric spaces: familiar concepts such as convergence and continuity are explored in this new broader context while new concepts and properties, such as closed sets and compactness, illuminate key basic facts about functions. Topology, the latter, is concerned with a further abstraction of a metric space by focusing solely on the properties of spaces generated from the elementary notions of closed and open sets.

Investments 15

This module aims to develop an understanding of the key concepts of investments.  It introduces the core investment principles and techniques which will enable students to make informed investment decision. It will also enable students to evaluate the fair price of financial assets and the usefulness of technical analysis.


To provide students with experience of the skills required to undertake independent research projects. To offer students a birds-eye view of several cutting-edge mathematics and statistics research topics by attending seminars at Winchester and, where possible and relevant, nearby institutions.

Please note the modules listed are correct at the time of publishing, for full-time students entering the programme in Year 1. Optional modules are listed where applicable. Please note the University cannot guarantee the availability of all modules listed and modules may be subject to change. For further information please refer to the terms and conditions at
The University will notify applicants of any changes made to the core modules listed above.

Course Tuition Fees 

UK/EU/Channel Islands and Isle of Man

If you are a UK or EU student starting your degree in September 2018, the first year will cost you £9,250. Based on this fee level, the indicative fees for a three-year degree would be £27,750 for UK and EU students. Remember, you don't have to pay any of this upfront if you are able to get a tuition fee loan from the UK Government to cover the full cost of your fees each year. If finance is a worry for you, we are here to help. Take a look at the range of support we have on offer. This is a great investment you are making in your future, so make sure you know what is on offer to support you.

Full-time £9,250 p/a

Total Cost: £27,750 (3 years) | £28,450 (sandwich option)

UK/EU Part-Time fees are calculated on a pro rata basis of the full-time fee for a 120 credit course. The fee for a single credit is £77.08 and a 15 credit module is £1,156. Part-time students can take up to a maximum 90 credits per year, so the maximum fee in a given year will be the government permitted maximum fee of £6,938

International Students

Full-time £12,950** p/a
Total Cost: £38,850** (3 years) | £39,550** (sandwich option)

International part-time fees are calculated on a pro rata basis of the full-time fee for a 120 credit course. The fee for a single credit is £107.92 and a 15 credit module is £1,620. Fees for students from Vestfold University College in Norway (who receive a 10% reduction) and NLA are £11,655.


Additional costs

As one of our students all of your teaching and assessments are included in your tuition fees, including, lectures/guest lectures and tutorials, seminars, laboratory sessions and specialist teaching facilities. You will also have access to a wide range of student support and IT services.

There might be additional costs you may encounter whilst studying. The following highlights the mandatory and optional costs for this course:


Core texts: It is recommended that students purchase the latest editions of all of the core textbooks. Many of these texts relate to extensive online material for which you require an access code supplied with the textbook. It is possible for students to purchase second-hand copies where applicable.Cost £50 - £200 per academic year.

Volunteering and placements: Students may incur travel costs on optional volunteering placements in the second or third year of study. Cost £5 - £30 per day. 

Printing and binding: Students may be required to pay for the costs of dissertation printing and binding. Cost £10. 

Formal wear: Students may be expected to dress formally for oral assessments. Costs will vary depending on the students existing wardrobe. Cost £0 - £50. 

Software: Students may wish to buy MATLAB for use at home. This will be optional, as all necessary software will be available on some computers at the university. Alternatively, should students wish to use specialist software at home, there are free alternatives to MATLAB available. Cost £30 - £60. 


We have a variety of scholarship and bursaries available to support you financially with the cost of your course. To see if you’re eligible, please see our Scholarships and Awards page.

Key course details

UCAS code
3 years full-time; 6 years part-time
Typical offer
104-120 points
King Alfred Campus or at West Downs, Winchester