Skip to main content

Financial Mathematics

Entry Year: 2023

4 study options

Financial Mathematics MSci (Hons)

Key information

Degree
MSci (Hons)
Duration
4 years
Start
September 2023
UCAS code
GN1H
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include A-Level Mathematics. Excludes General Studies.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£23,950
Funding information
Paying your fees

Mathematics with Foundation BSc (Hons)

Key information

Degree
BSc (Hons)
Duration
4 years
Start
September 2023
UCAS code
GGX2
Institution code
Q50
Typical A-Level offer
Grades BBC at A-Level. This must include A-Level Mathematics.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£21,200
Funding information
Paying your fees

Financial Mathematics with Professional Placement MSci (Hons)

Key information

Degree
MSci (Hons)
Duration
5 years
Start
September 2023
UCAS code
GN2H
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include A-Level Mathematics. Excludes General Studies.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£23,950
Funding information
Paying your fees

Financial Mathematics with Year Abroad MSci (Hons)

Key information

Degree
MSci (Hons)
Duration
5 years
Start
September 2023
UCAS code
GNHY
Institution code
Q50
Typical A-Level offer
Grades AAA at A-Level. This must include A-Level Mathematics. Excludes General Studies.
Full entry requirements (including contextual admissions)
Home fees
£9,250
Overseas fees
£23,950
Funding information
Paying your fees

Year abroad cost

Finances for studying abroad on exchange

View details

Overview

Combine key areas of pure and applied mathematics with more specialist knowledge of financial mathematics, numerical methods and computing.

Our Financial Mathematics MSci is ideal for students planning a career in the more quantitative areas of finance and banking, and for those wanting to undertake academic research.

In your first year, you’ll take modules that will give you a foundation in all the core areas of mathematics and statistics, and gain practical data analysis skills. In later years you’ll have the opportunity to study modules across financial and actuarial mathematics, statistical modelling, financial management, programming and more.

In your final year, you’ll take advanced modules and develop your research skills by completing an individual project in contemporary mathematical finance. Projects are supervised by one of the School’s academics, many of whom have industry experience in mathematical finance.

Structure

You can complete your Financial Mathematics degree in four or five years. If you choose to do a professional placement or study abroad this will take place in Year 3, and you will return to Queen Mary to complete your final two years of study.

Year 1

  • Applied Calculus
  • Applied Probability & Statistics
  • Economics for Business Management
  • Fundamentals of Management 
  • Numbers, Sets and Functions
  • Vectors and Matrices

Please note that all modules are subject to change.

Year 2

Compulsory

  • Applied Linear Algebra
  • Differential Equations
  • Introduction to Computer Programming
  • Probability and Statistics II
  • Statistical Modelling I

Elective

  • Actuarial Mathematics I
  • Complex Variables
  • Introduction to Differential Geometry
  • Introduction to Finance 
  • Linear Programming and Games

 

Please note that all modules are subject to change.

Year 3

Compulsory

  • Financial Mathematics I
  • Financial Mathematics II
  • Mathematical Tools for Asset Management
  • Numerical Computing with C and C++
  • Partial Differential Equations
  • Random Processes

Elective

  • Bayesian Statistical Methods
  • Complex Networks
  • Financial Markets and Institutions
  • Introduction to Machine Learning
  • Statistical Modelling II
  • Time Series

Please note that all modules are subject to change.

Year 4

Compulsory

  • Advanced Computing in Finance
  • Advanced Derivatives Pricing and Risk Management
  • Continuous Time Models in Finance
  • Financial Instruments and Markets
  • Foundations of Mathematical Modelling in Finance
  • MSci Financial Mathematics Project

Elective

  • Programming in C++ for Finance
  • Topics in Probability and Stochastic Processes

 

 

 

 

 

Please note that all modules are subject to change.

Study options

Apply for this degree with any of the following options. Take care to use the correct UCAS code - it may not be possible to change your selection later.

Professional Placement

Apply for our Financial Mathematics MSci with Professional Placement to spend a year carrying out paid work in the financial sector as part of your degree. As well as helping you to stand out from the crowd and secure graduate employment, a placement is an excellent opportunity to develop your business skills and put your learning into context.

Year abroad

Go global and study abroad as part of your degree – apply for our Financial Mathematics MSci with a Year Abroad. Queen Mary has links with universities in Europe, North America, Asia and Australia (partnerships vary for each degree programme).

Find out more about study abroad opportunities at Queen Mary and what the progression requirements are. 

You can do either a year in a professional placement or a year abroad - you cannot combine these options.

student profile image
Testimonial

“I have always loved maths and at the same time wanted to work in banking so Financial Mathematics was a perfect course for me. I enjoyed the contents of the modules and getting involved with different societies.”

Ibrahim Darwich Ajjour, MSci Financial Mathematics, now undertaking a PhD in Mathematical Finance at Queen Mary University of London

Teaching

Teaching and learning

You’ll learn through lectures and tutorials, and in exercise classes where students work together on problems, discuss ideas and ask questions. Some modules have a practical element taught in one of our computer labs.

Formal teaching time typically takes up 16 hours each week. You’ll also be expected to complete additional hours of independent study.

Assessment

Most of your modules will be assessed by an examination worth at least 90 per cent of the year’s study, with the remainder covered by coursework and tests. All students on MSci programmes also complete a final-year project.

Resources and facilities

The School of Mathematical Sciences has invested £18m to create an inspiring, collaborative space for our community of students and staff. The building includes high-quality teaching rooms, private and group study areas and a new social hub.

Funding

Loans and grants

UK students accepted onto this course are eligible to apply for tuition fee and maintenance loans from Student Finance England or other government bodies.

Scholarships and bursaries

Queen Mary offers a generous package of scholarships and bursaries, which currently benefits around 50 per cent of our undergraduates.

Scholarships are available for home, EU and international students. Specific funding is also available for students from the local area. International students may be eligible for a fee reduction. We offer means-tested funding, as well as subject-specific funding for many degrees.

Find out what scholarships and bursaries are available to you.

Support from Queen Mary

We offer specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.

Take a look at our Student Advice Guides which cover ways to finance your degree, including:

  • additional sources of funding
  • planning your budget and cutting costs
  • part-time and vacation work
  • money for lone parents.

Careers

Many graduates apply their degree knowledge in the finance, accounting or actuarial professions. Others translate their skills into careers such as management consulting, marketing, engineering, teaching and the public sector.

Recent graduates of the School of Mathematical Sciences have been hired by:

  • Accenture
  • Bank of England
  • BNP Paribas
  • Deloitte
  • PWC
  • Civil Service
  • Direct Line
  • Dyson
  • FCA
  • Goldman Sachs
  • KPMG
  • Lloyds Banking Group
  • Natwest Markets
  • J.P Morgan
  • Santander

Career support

The School of Mathematical Sciences provides networking opportunities and runs events to help you identify potential career options. You can also gain certification in applications such as Microsoft Excel and SAS (Statistical Analysis Software). We have a dedicated careers consultant and an internships coordinator.

The Queen Mary careers team can also offer:

  • specialist advice on choosing a career path
  • support with finding work experience, internships and graduate jobs
  • feedback on CVs, cover letters and application forms
  • interview coaching.

Learn more about career support and development at Queen Mary.

Data for these courses

Financial Mathematics - MSci (Hons)

Mathematics with Foundation - BSc (Hons)

Financial Mathematics with Professional Placement - MSci (Hons)

Financial Mathematics with Year Abroad - MSci (Hons)

The Discover Uni dataset (formerly Unistats)

About the School

With over 60 academic staff passionate about mathematics, the School of Mathematical Sciences is an exciting place to be for those who share our love of mathematical discovery. We foster a thriving research culture and a supportive learning environment that puts the needs of our students first.

Our aim is to make your studies enjoyable, challenging and rewarding, and to provide you with every opportunity to build the knowledge and experience you need for future success.

Our active Mathematics Society organises social events, residential trips, talks and career events. We are also engaged in the wider community and regularly run interactive activities to encourage more students to take mathematics at A-level and degree level.

The School holds a department-level Athena SWAN Bronze award, which recognises and celebrates good employment practice for women working in mathematics and science education and research.

Contact us

Back to top