About the course

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The explosive growth and inherent variability of financial markets has fuelled demand for highly skilled mathematics graduates with an in-depth knowledge of the sector. This specialist degree focuses on developing both your understanding and your practical application of the sophisticated mathematical modelling techniques that financial institutions rely on. You’ll learn the detailed mathematical background behind the behaviour of portfolios, trading, returns and risk, so that you can mathematically determine the best investment strategies. You’ll also develop a sharp understanding of the financial techniques and statistical and numerical modelling used in the finance industry.

Why choose this course?

Our Financial Mathematics degree gives you the practical and theoretical skills that you need to work in the financial industry.  We aim to teach you the detailed mathematical background behind the behaviour of portfolios, trading, returns and risk so that you can mathematically determine optimum investment strategies.  We also combine this with an understanding of financial techniques and the statistical and numerical modelling used in the finance industry.  As the Financial Mathematics degree is more specialised than our Mathematics degree there is a little less opportunity to generalise your study path.  However, we do offer the option to study areas allied to Financial Mathematics, such as Number Theory, Algebra, Statistical Modelling, Multivariate Statistics and Linear Optimisation.

We take pride in our student-focused approach to teaching Mathematics.  Our School is well regarded for its friendly and professional environment, which allows us to equip you with the skills and knowledge required to be a successful mathematician. We will support you throughout your degree so that you can achieve your full potential.

Professional Accreditations

Accredited by the Institute of Mathematics and its Applications (IGradIMA)

What our
students say

If you fancy a challenge, choose maths! You can go into so many different things and the world’s your oyster.”

Amy Washington


Course details


This degree opens the door to excellent career opportunities as an investment analyst in banks, investment houses and accountancy firms. As an industry-aware graduate with integrated mathematics and computer programming skills, you’ll have an exceptionally wide choice of challenging and rewarding careers. A small selection of careers that our previous graduates have pursued are as business, environmental and credit analysts, financial and engineering consultants, programmers, statisticians, meteorologists, teachers and actuaries.

Teaching methods

We use a variety of teaching methods in our Mathematics degree, ranging from small-group tutorials, to lectures, problem workshops and practical computing classes.  Our teaching is supported by the University's e-learning system StudyNet and it is possible to download lecture notes, assessments and submit coursework through StudyNet.  We place particular emphasis on transferable skills, employability and project work throughout the degree.

You will meet your personal tutor on a regular basis in small-group tutorials, which are a great way of reinforcing the material that you learn in lectures. We also offer a wide variety of support throughout your degree, from your lecturers, the School’s Maths Centre and peer support from our student proctor scheme.

Work Placement

All of our Mathematics degree programmes can be taken as a sandwich degree, with a professional placement year. We have a dedicated Placements Tutor in our School who, along with the Careers  & Placements Service, will help you find and set up your placement. Within the UK our students have worked at IBM, Microsoft, the National Audit Office, Rolls-Royce, and Barclays Capital. Many of our graduates go on to work or postgraduate study at their placement hosts.

Study Abroad

This course offers you the opportunity to study abroad in the Sandwich Year through the University's study abroad programme Study abroad opportunities are available worldwide and in Europe under the Erasmus+ Programme.
Past students have gone on research and study abroad placements to the US, Canada, Australia, France, Germany, Switzerland and Singapore. Find out more about Study abroad opportunities. 


Level 4

Core Modules

  • Small Group Tutorial - 0 Credits
  • Financial and Actuarial Mathematics - 15 Credits
  • Mathematical Techniques 1 - 30 Credits
  • Linear Algebra - 15 Credits
  • Numbers and Sets - 15 Credits
  • Applications of Mathematics - 15 Credits
  • Basic Statistics - 15 Credits
  • Computational Modelling - 15 Credits


Level 5

Core Modules

  • Mathematical Techniques 2 - 15 Credits
  • Programming - 15 Credits
  • Graduate Skills - 0 Credits
  • Numerical Methods - 15 Credits
  • Financial Markets and Portfolio Theory - 30 Credits
  • Statistical Modelling - 15 Credits
  • Small Group Tutorial (Level 5) - 0 Credits
  • Career Planning and Development - 0 Credits


  • Professional Teaching Skills - 15 Credits
  • Number Theory - 15 Credits
  • Algebra - 15 Credits
  • Real Analysis - 15 Credits
  • Differential Equations - 15 Credits
  • Motion and Tensors - 15 Credits

Level 6

Core Modules

  • Investigations in Financial Mathematics - 15 Credits
  • Nonlinear Optimisation - 15 Credits
  • Financial Mathematics & Derivative Pricing - 30 Credits


  • Professional Placement - 0 Credits
  • Space Dynamics - 15 Credits
  • Year Abroad - 0 Credits
  • Complex Analysis - 15 Credits
  • Partial Differential Equations - 15 Credits
  • Linear Optimisation - 15 Credits
  • Further Algebra - 15 Credits
  • Further Numerical Methods - 15 Credits
  • Combinatorics - 15 Credits
  • Nonlinear Systems - 15 Credits
  • Placement with Study Abroad - 0 Credits
  • Multivariate Statistics - 15 Credits
  • Linear Modelling - 15 Credits
  • Lagrangian Dynamics - 15 Credits

Fees & funding

Fees 2019

UK/EU Students

Full time
  • £9250 for the 2019/2020 academic year
Part time
  • £1155 per 15 credits for the 2019/2020 academic year

International Students

Full time
  • £12350 for the 2019/2020 academic year
Part time
  • £1540 per 15 credits for the 2019/2020 academic year

Discounts are available for International students if payment is made in full at registration

*Tuition fees are charged annually. The fees quoted above are for the specified year(s) only. Fees may be higher in future years, for both new and continuing students. Please see the University’s Fees and Finance Policy (and in particular the section headed “When tuition fees change”), for further information about when and by how much the University may increase its fees for future years.

View detailed information about tuition fees

Other financial support

Find out more about other financial support available to UK and EU students

Living costs / accommodation

The University of Hertfordshire offers a great choice of student accommodation, on campus or nearby in the local area, to suit every student budget.

View detailed information about our accommodation

Entry requirements...

2019 entry 

72-168 UCAS points 

To include A level Maths at Grade C or above or a BTEC qualification in Applied Science plus A level Maths at Grade C or above. Access to HE Diploma with 60 credits overall, 45 of these credits must be at Level 3. 15 of the Level 3 credits must be in Maths. IB must include Maths at HL grade 4 or above.

GCSE English and Maths at grade 4 or above.

All students from non-majority English speaking countries require proof of English language proficiency. The following qualifications and grades will be considered 
- GCSE English language grade 4 or above 
- IELTS 6.0 (with no less than 5.5 in any band)
Other English language tests are accepted. Please contact the International Office for details.

Find out more about International entry requirements.

The University of Hertfordshire is committed to welcoming students with a wide range of qualifications and levels of experience. The entry requirements listed on the course pages provide a guide to the minimum level of qualifications needed to study each course. However, we have a flexible approach to admissions and each application will be considered on an individual basis.

How to apply


Start DateEnd DateLink
28/09/201920/05/2020Apply online (Full Time)
28/09/201920/05/2020Apply online (Part Time)
28/09/201920/05/2020Apply online (Full Time/Sandwich)
28/09/201920/05/2020Apply online (Full Time/Sandwich)


Start DateEnd DateLink
28/09/202020/05/2021Apply online (Full Time)
28/09/202020/05/2021Apply online (Part Time)
28/09/202020/05/2021Apply online (Full Time/Sandwich)
28/09/202020/05/2021Apply online (Full Time/Sandwich)