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Undergraduate study

Course overview

Mathematics provides an essential basis for understanding modern finance. This course combines a grounding in maths concepts and methods with an opportunity to develop skills that can be applied to the analysis and modelling of financial markets. As a financial mathematics graduate, a range of career options are available to you - from banking and insurance, to teaching and local government.

The essentials of finance and underlying economic theory are studied alongside mathematics. Throughout the course emphasis is placed on problem solving and real-world applications.

A wide variety of career options are available to financial mathematics graduates in the financial services sector, including working as an actuary, in accountancy, banking, insurance, investment management and management consultancy. In the public sector specialists in maths and finance are employed in the civil service, local government and other organisations such as the NHS. The course also provides a sound basis for finance, economics, econometrics, logistics, mathematics, statistics and many other areas.


Course details

Year 1 contains an introduction to all the main areas of mathematics. In Year 2 you build on these foundations to gain more specialist knowledge and you have the opportunity to work on a real industrial case-study to apply your knowledge.

Group projects in Year 1 and Year 2 are key to developing your communication skills through independent learning and team work, providing you with practical skills essential to your career. The Year 2 group project is a finance-related case-study, which allows you to apply your knowledge and build your work experience.

The optional work placement year during Year 3 provides valuable work experience that helps you to stand out when applying for your first graduate job. It’s your chance to apply the academic knowledge in a work environment and improve your career prospects. It can even lead to the offer of a permanent job with your placement employer.

The final year is devoted to advanced courses in financial mathematics alongside completing your specialist project in an area of mathematics that interests you. The specialist project provides a unique opportunity to explore a subject in greater depth, guided throughout by your project supervisor.

Course structure

Year 1 core modules

Analysis 1

The module gives a solid foundation to the properties of the real numbers and of continuous functions of one real variable. You develop the mathematical skills and techniques of fundamental operations with limits, and develop skills in using mathematical terminology and style of reasoning in order to solve problems.

Lectures introduce techniques and underlying principles. Problem-solving seminars based on weekly worksheets provide the opportunity for you to demonstrate understanding and develop competence in the application of these.

Exploring Mathematics

The module provides a general introduction to problem solving. You develop personal and team-working skills and the importance of communicating mathematics in both written and oral form. You develop your reflective and professional skills, gaining recognition of the benefits with respect to your academic progress and subsequent lifelong learning.

A group-based learning approach is adopted and where appropriate, supporting lectures/seminars introduce techniques and underlying principles. IT laboratory sessions are used to introduce you to specialist software.

Introduction to Macroeconomics

Macroeconomics is a main branch of economics. You study the behaviour of an economy at aggregate level such as, the performance, structure, behaviour, and policy making of an economy as a whole. This is a core module giving you an introduction to main and essential macroeconomic principles, theories and methods of analysis. You cover output and aggregate demand, aggregate supply, business cycles, prices and inflation, unemployment, money and interest rates, monetary and fiscal policy, exchange rates and the balance of payments.

Introduction to Microeconomics

You are introduced to the principal concepts, theories and applications of microeconomics. The module covers topics such as demand, supply, markets, prices, competitive and monopoly markets, market failure and the role of microeconomic policy. There is a strong emphasis on the application of microeconomics to contemporary issues such as minimum pricing (eg alcohol, wages), taxes on sugar and carbon emissions, the control of dominant firms and the use of game theory to analyse strategic behaviour.

Linear Algebra 1

This module gives a solid foundation to Linear Algebra topics. You develop the mathematical skills and techniques of fundamental operations of vectors and matrices, and skills in selecting and applying Linear Algebra techniques to solve problems.

Lectures are used to introduce techniques and underlying principles. Problem-solving tutorials provide the opportunity for you to demonstrate understanding and develop competence in the application of these.

Probability and Statistics

You are introduced to the concepts of statistics and probability. You develop a conceptual understanding of basic statistical and probability methods, supported by the use of a statistical computer package.

Lectures are used to introduce techniques and underlying principles. Problem-solving seminars/laboratory sessions provide the opportunity for you to demonstrate understanding and develop competence in the application of these.


Year 2 core modules

Macroeconomic Theory and Policies

You build on your knowledge and skills obtained from Introduction to Macroeconomics module and focus on intermediate level theories. You develop and enhance your understandings of the behaviour of the economy as a whole, so you can distinguish and critically understand different theoretical models and relate these models to policy debates in the real world.

Mathematical Modelling

You use mathematics as a tool to solve problems using a range of real-world problems to motivate the use of various techniques. Additionally, varying tools are used to implement and calculate solutions. You gain a range of mathematical modelling skills to solve problems.

Lectures are used to introduce principles and concepts. Tutorials involve pen-and-paper as well as computer-based exercises to consolidate and develop your understanding and skills.

Microeconomic Theory and Applications

You examine the central concepts, theories and methods of microeconomics and apply them to a wide range of problems and real-world issues. You cover the theory of consumer and producer behaviour, market efficiency and market failure, the analysis of strategic behaviour using game theory, an introduction to general equilibrium, and microeconomic policy.

Numerical Methods

This module focuses on applying your mathematical knowledge of differential equations to real-world problems. You are introduced to Numerical Methods and extend your base of techniques to solve a variety of problems. The emphasis is on developing competence in the identification of the most appropriate method to solve a given problem and its subsequent application.

Lectures are used to introduce techniques and underlying principles. Problem-solving seminars provide the opportunity for you to demonstrate understanding and develop competence in the application of these. You are shown how to implement numerical methods using appropriate software tools.

Statistical Analysis

This module provides a practical understanding of the useful modelling techniques of regression analysis and analysis of variance. The module instils an understanding and relevance of linear regression models facilitated through the use of a statistical computer package.

Lectures are used to introduce techniques and underlying principles. Problem-solving seminars in IT laboratories provide the opportunity for you to demonstrate understanding and develop competence in the application of these. You are shown how to implement numerical methods using appropriate software tools.

Vector Analysis and Measure Theory

This module extends the mathematical knowledge in analysis by treating the case of vector-valued functions of several variables and their differentiation. Important applications, such as determining local extrema and approximation through Tayler expansion are discussed, for functions of several variables, and, if appropriate, the vector valued case. The integration theory in several variables follows the measure-theoretic approach of Lebesgue. Applications include surface integrals, volume integrals and line integrals, and sketch their relevance in mechanics and electrodynamics.

Lectures are used to introduce techniques and underlying principles. Problem-solving seminars based on weekly worksheets provide the opportunity for you to demonstrate understanding and develop competence in the application of these techniques.


Year 3 optional placement year

Final-year core modules

Data Analysis

This module introduces mathematical techniques for the processing and analysing massive datasets. In particular the module discusses how to pre-process and store massive datasets and to design efficient algorithms.

Lectures introduce techniques and underlying principles. Problem- solving seminars provide the opportunity for you to demonstrate understanding and develop competence in the application of methods learned in the lectures.

Discrete Mathematics

This module develops knowledge and understanding of topics in Discrete Mathematics and in particular graph theory such as graphs, paths and cycles, Euler tours, connectivity, trees, spanning trees, planar graphs, graph colouring and random graphs. This knowledge is applied to obtain and analyse models of real-world networks, for example in transport systems and computer networks (network optimisation problems like shortest path, minimum cut, minimum spanning tree, travelling salesman.)

Lectures introduce techniques and underlying principles. Problem-solving seminars provide the opportunity for you to demonstrate understanding and develop competence in the application of methods learned in the lectures.

International Finance

This module examines an economy's financial sector, introducing you to the principal concepts and techniques used in analysing financial markets and financial management. It covers four main areas: financial markets and institutions' operation and development; financial management and aspects of corporate finance; policy towards financial markets, including regulation, the role of central banks and the operation of monetary and exchange rate policy; and the derivatives markets and managing risks.

Mathematics Project

This module extends independent learning skills by allowing you to investigate an area of mathematics that interests you for an extended period. Training is given in scientific writing and you produce a dissertation of the work covered. Your individual work can take the form of a research project or a literature review. Key skills in research, knowledge application and creation are developed through keynote lectures where appropriate and self-managed independent study. Support is provided throughout by your project supervisor.

Operational Research and Optimisation

This group project module is designed to develop awareness and understanding of operational research methods applicable to analysis of financial and economic data. You are introduced to numerical optimisation theories and processes and have the opportunity to develop theoretical and applied knowledge in optimisation problems within the financial domain.


Modules offered may vary.


How you learn

You attend a range of lectures, small-group tutorials and laboratory sessions.

Your programme also includes a substantial final-year research-based project.

The course provides a number of contact teaching and assessment hours (such as lectures, tutorials, laboratory work, projects, examinations), but you are also expected to spend time working independently. This self-study time is to review lecture notes, solve tutorial exercises, prepare coursework assignments, work on projects and revise for assessments. For example, each 20 credit module typically has around 200 hours of learning time. In most cases, around 40 hours are spent in lectures, tutorials and practicals. The remaining learning time is for you to use to gain a deeper understanding of the subject. Each year of full-time study consists of modules totalling 120 credits and each unit of credit corresponds to 10 hours of learning and assessment (contact hours plus self-study hours). So, during one year of full-time study you can expect to have 1,200 hours of learning and assessment.

One module in each year of your study involves a compulsory one-week block delivery period. This intensive problem-solving week provides you with an opportunity to focus your attention on particular problems and enhance your team-working and employability skills.

How you are assessed

Our assessment strategy tests your subject knowledge, independent thought and skills acquisition. It involves a range of assessments types, including coursework assignments, group project reports and formal examinations.

We use end exams within a number of modules in each year. And we provide an assessment schedule with assessment details and submission deadlines to help with your time management.

Our Disability Services team provide an inclusive and empowering learning environment and have specialist staff to support disabled students access any additional tailored resources needed. If you have a specific learning difficulty, mental health condition, autism, sensory impairment, chronic health condition or any other disability please contact a Disability Services as early as possible.
Find out more about our disability services

Find out more about financial support
Find out more about our course related costs


Entry requirements

Entry requirements

Typical offers are made in the range of 96-112 tariff points from any combination of recognised Level 3 qualifications or equivalent, including mathematics.

The most common acceptable Level 3 qualifications are:

  • A levels (grades BBC, including C in mathematics)
  • BTEC Extended Diploma (DMM, including merit or distinction in mathematics units)
  • Access to HE Diploma (with merit or distinction in at least 12 level 3 credits in mathematics).

If the qualification you are studying is not listed, please contact our admissions office for advice. We accept many alternative UK and international qualifications.

Your offer is made on the basis of your UCAS application and, if appropriate, your interview.


Eligible applicants may be invited to attend an interview. The purpose of the interview is to help us determine your potential to succeed and tailor your offer to your individual circumstances. The interview also gives you the opportunity to see our excellent facilities, meet staff and students, and learn more about studying at Teesside University.

We encourage all applicants to attend their interview, but if you can't come for an interview we will consider making an offer based on the information you provide in your application. Online or Skype interviews may be possible in some cases.

Attending and performing well in an interview could lead to a lower tariff offer than the advertised tariff.

English language requirement
Normally GCSE English language at grade C, or 4 under the new grading system. Key Skills Level 2 may be used in lieu of GCSE English.

Non-EU international students who need a student visa to study in the UK should check our web pages on UKVI-compliant English language requirements. The University also provides pre-sessional English language courses if you do not meet the minimum English language requirement.

Alternative progression routes
If you are not eligible to join this course directly then we may be able to help you meet the requirements for admission by studying one or more appropriate pre-degree Summer University modules, some of which can be studied by distance learning.

Alternative degree with integrated foundation year
If you are unable to achieve the minimum admission requirements for Year 1 entry you could, subject to eligibility, join one of our degree courses with an integrated foundation year.

Please contact us to discuss the alternative progression routes available to you.

For additional information please see our entry requirements

International applicants can find out what qualifications they need by visiting Your Country

You can gain considerable knowledge from work, volunteering and life. Under recognition of prior learning (RPL) you may be awarded credit for this which can be credited towards the course you want to study.
Find out more about RPL



Career opportunities

All programmes incorporate employability skills development alongside your degree. Our staff utilise their extensive business connections to provide many and varied opportunities to engage with potential employers through fairs, guest lectures, live projects and site visits. In addition we offer a series of workshops and events in all years that ensure you are equipped with both degree-level subject knowledge and the practical skills that employers are looking for in new graduate recruits.

Our award-winning careers service works with regional and national employers to advertise graduate positions, in addition to providing post-graduation support for all Teesside University alumni.

Work placement year

Within this programme you have the opportunity to spend one year learning and developing your skills through work experience. You have a dedicated work placement officer and the University's award-winning careers service to assist you with applying for a placement. Advice is also available on job hunting and networking. Employers are often invited to our School to meet you and present you with opportunities for work placements.

By taking a work placement year you gain experience favoured by graduate recruiters and develop your technical skillset. You also obtain the transferable skills required in any professional environment. Transferable skills include communication, negotiation, teamwork, leadership, organisation, confidence, self-reliance, problem-solving, working under pressure, and commercial awareness.

Throughout this programme, you get to know prospective employers and extend your professional network. An increasing number of employers view a placement as a year-long interview and as a result, placements are increasingly becoming an essential part of an organisation's pre-selection strategy in their graduate recruitment process.

Potential benefits from completing a work placement year include:

  • improved job prospects
  • enhanced employment skills and improved career progression opportunities
  • a higher starting salary than your full-time counterparts
  • a better degree classification
  • a richer CV
  • a year's salary before completing your degree
  • experience of workplace culture
  • the opportunity to design and base your final-year project within a working environment.


Information for international applicants


International applicants - find out what qualifications you need by selecting your country below.

Select your country:


Useful information

Visit our international pages for useful information for non-UK students and applicants.

Talk to us

Talk to an international student adviser



Entry to 2020/21 academic year

Fee for UK/EU applicants
£9,250 a year

More details about our fees

Fee for international applicants
£13,000 a year

More details about our fees for international applicants

What is included in your tuition fee?

  • Length: 3 years (or 4 with a work placement)
  • UCAS code: G190 BSc/FM
  • Semester dates
  • Typical offer: 96-112 tariff points

Apply online (full-time) through UCAS



2020 entry

Fee for UK/EU applicants
£4,500 (120 credits)

More details about our fees

  • Length: 6 years if entering in Year 1, 4 years if entering in Year 2
  • Attendance: Timetable governed - please contact our admissions office
  • Enrolment date: September
  • Semester dates

Apply online (part-time)

  • News

    Conference picture including the speakers Isolde Adler (Leeds), David Cushing (Durham), Thomas Sauerwald (Cambridge), He Sun (Edinburgh), Sven-Ake Wegner (Teesside) and Luca Zanetti (Cambridge).. Link to View the pictures. University hosts mathematical research conference
    Researchers from all across the UK met at Teesside University for the conference 'Analysis of and Analysis on Networks' that was supported by the London Mathematical Society.

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