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MSci Financial Mathematics

Queen Mary University of London

About this course

MSci (Hons) in Financial Mathematics, a mathematics degree focused on quantitative methods, financial theory, and computational applications. Core topics include Programming, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. The programme includes a final-year individual research project and offers the option to apply for a study abroad year at one of thirty partner institutions. The first year covers foundational concepts through Applied Calculus, Applied Probability & Statistics, Economics for Business Management, Numbers, Sets and Functions, Programming in Python I, and Vectors and Matrices. The second year progresses to Applied Linear Algebra, Differential Equations, Probability and Statistics II, Programming in Python II, and Statistical Modelling, alongside optional modules such as Actuarial Mathematics I and Financial Markets and Securities. The third year advances into Financial Mathematics I, Financial Mathematics II, Mathematical Tools for Asset Management, Numerical Computing with C and C++, Partial Differential Equations, and Random Processes, with further options including Bayesian Statistical Methods and Introduction to Machine Learning. The final year centres on Financial Instruments and Markets, Foundations of Mathematical Modelling in Finance, and the MSci Financial Mathematics Project, while optional modules allow specialisation in areas such as Advanced Computing in Finance, Neural Networks and Deep Learning, and Advanced Derivatives Pricing and Risk Management.

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Institution
Queen Mary University of London
Level
undergraduate
Subject
Financial Mathematics
Duration
4 years
UCAS code
GN1H
Typical offer
A-level AAA, IB 36
Median salary
£39,500 after 5 years

Entry requirements

Financial Mathematics - MSci (Hons): A-Level: Grades AAA at A-Level. This must include A-Level Mathematics. IB: International Baccalaureate Diploma with a minimum of 36 points overall, including 6,6,6 from three Higher Level subjects. This must include Mathematics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and Approaches at Higher Level. BTEC: BTEC qualifications are not considered for entry to this programme. Access HE: We consider applications from students with the Access to Higher Education Diploma in a Physics or Mathematics based discipline. The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 33 credits must be at Distinction and 12 credits at Merit or higher. Applications are considered on a case by case basis. Due to the high volume of applications, we do not make offers of study purely on the basis of meeting grade requirements. GCSE: Both GCSE English and Maths at grade C or 4 or an acceptable equivalent will be required. Contextualised admissions: Our standard contextual offer: ABB, including A in Maths at A-Level. Our enhanced contextual offer: BBB, including Maths at A-Level. More information on our contextual offer criteria can be found on our contextualised admissions page . Please note that General Studies and Critical Thinking are excluded from any A-Level offer and cannot be considered.

See the highest paying Mathematics degrees in the UK →

What students say

Based on about 159 final-year students who answered, across similar courses at this university

  • Teaching on my course: 82%
  • Learning opportunities: 85%
  • Assessment and feedback: 77%
  • Academic support: 87%
  • Organisation and management: 81%
  • Learning resources: 88%
  • Student voice: 76%

Do students stay on the course?

Based on about 410 students who started, across similar courses at this university

  • Continued on course: 85%
  • Left higher education: 7%
  • Moved to a lower qualification: 8%

What graduates do next

Based on about 51 graduates who answered, across similar courses at this university

  • Working: 60%
  • Working and studying: 14%
  • Further study: 12%
  • Unemployed: 7%

Most common jobs

  • Information Technology Professionals: 19%
  • Finance Professionals: 18%
  • Business and public service associate professionals: 12%
  • Administrative occupations: 10%
  • Teaching Professionals: 8%
  • Find their work meaningful: 75%
  • Feel on track for their future plans: 70%
  • Use what they learnt on the course: 50%

Where graduates work (5 years on)

Based on about 260 graduates, across similar courses at this university

  • North West: 1%
  • East Midlands: 1%
  • West Midlands: 2%
  • East of England: 7%
  • London: 82%
  • South East: 7%

Who gets in

Based on about 405 students who started, across similar courses at this university

  • A levels: 94%
  • Baccalaureate: 1%
  • Foundation course: 3%
  • Other HE qualification: 1%
  • Other qualifications: 1%

Accreditation & quality ratings

TEF 2023 (whole university): Silver overall, Bronze for student experience, Silver for student outcomes.

Modules

  • Applied Calculus
  • Applied Probability & Statistics
  • Economics for Business Management
  • Numbers, Sets and Functions
  • Programming in Python I
  • Vectors and Matrices
  • Applied Linear Algebra
  • Differential Equations
  • Probability and Statistics II
  • Programming in Python II
  • Statistical Modelling
  • Professional Skills for Mathematicians
  • Actuarial Mathematics I
  • Complex Variables
  • Financial Markets and Securities
  • Linear Optimisation and Game Theory
  • Statistics for Insurance
  • Convergence and Continuity
  • Financial Mathematics I
  • Financial Mathematics II
  • Mathematical Tools for Asset Management
  • Numerical Computing with C and C++
  • Partial Differential Equations
  • Random Processes
  • Bayesian Statistical Methods
  • Corporate Financial Management
  • Introduction to Machine Learning
  • Statistical Modelling II
  • Time Series
  • Mathematics of Networks
  • Financial Instruments and Markets
  • Foundations of Mathematical Modelling in Finance
  • MSci Financial Mathematics Project
  • Advanced Computing in Finance
  • Advanced Derivatives Pricing and Risk Management
  • Digital and Real Asset Analytics
  • Programming in C++ for Finance
  • Neural Networks and Deep Learning
  • Machine Learning with Python
  • Advanced Machine Learning
  • Quantum Mechanics and the Foundation of Quantum Computing
  • Quantum Computing

Questions about this course

How much do graduates of MSci Financial Mathematics at Queen Mary University of London earn?

The median salary is £30,000 after 15 months, £32,000 after 3 years, £39,500 after 5 years. After five years the middle half of graduates earn between £31,500 and £53,000. The £39,500 median after five years is the same as the UK median for Mathematics.

What do graduates of MSci Financial Mathematics at Queen Mary University of London do next?

87% were in work or further study 15 months after finishing (Graduate Outcomes 2022-23).

Are students happy with the teaching on MSci Financial Mathematics at Queen Mary University of London?

82% of final-year students were positive about the teaching in the National Student Survey 2024-25.

What grades do I need for MSci Financial Mathematics at Queen Mary University of London?

The typical offer is AAA at A level, or 36 points in the IB. The average entrant had 139 UCAS points.

Does MSci Financial Mathematics at Queen Mary University of London include a placement year or year abroad?

The course has a compulsory year abroad.

How many students continue on MSci Financial Mathematics at Queen Mary University of London?

85% of students continued into their second year, and 7% left higher education.