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Mathematics MSc

Mathematics underpins so many aspects of everyday life. It is crucial to modern society as it forms the foundation of logical reasoning, problem-solving and decision-making.

This programme reflect the breadth and power of the research conducted in the School of Mathematical Sciences. It is a flexible course which opens doors to a wide range of careers and further research. 

  • The School of Mathematical Sciences offers a diverse range of research expertise across our 90+ academics, making us one of the largest Maths departments in the UK
  • A flexible programme with a range of elective modules, allowing you to tailor your degree to your interests.
  • Enhance your academic and professional credentials
  • The MSc Mathematics dissertation will give you the opportunity to interact with our outstanding research centres, and potentially develop your own original contribution.

Study options

Starting in
September 2025
Location
Mile End
Fees
Home: £12,850
Overseas: £27,500
EU/EEA/Swiss students

What you'll study

This is our most flexible programme. You will choose all of your modules, allowing you to tailor the programme to your specific interests, skills and career aspirations. 

The modules offered reflect the research strengths of the School of Mathematical Sciences. We offer specialisms in Pure Mathematics or Statistics and Data Science. 

In the summer term, you will undertake a major research project dissertation, covering a specific research-level topic of your choice. You will need to understand, explain and elaborate on results from one or more journal articles and your project may also involve computation. 

We offer all students the opportunity to take the useful Microsoft Office Specialist qualification.

Structure

Structure

 In Semester A, you will choose your modules and select a specialism:

All students choose one from:

  • Topics in Scientific Computing
  • Programming in Python

Pure stream (choose three from):

  • Group Theory
  • Partial Differential Equations
  • Chaos & Fractals
  • Differential Geometry in Theoretical Physics

Statistics and Data Science stream (choose three from):

  • Machine Learning with Python
  • Applied Statistical Modelling
  • Partial Differential Equations
  • Random Processes

In Semester B, you will choose four modules from your specialism:

Pure stream (choose four from):

  • Graphs and Networks
  • Optimisation for Business Processes
  • Algorithmic Graph Theory
  • Metric Spaces and Topology
  • Ring Theory
  • Coding Theory

Statistics and Data Science stream (choose four from):

  • Digital and Real Asset Analytics
  • Bayesian Statistics
  • Computational Statistics with R
  • Advanced Machine Learning
  • Optimisation for Business Processes
  • Graphs and Networks
Master Journey Webinars

Master Journey Webinars

Your Masters Journey Webinars: Join our engaging webinar series designed to guide you through every step of your masters journey.

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Assessment

  • 67% Modules
  • 33% Research project
  • You will be assessed by a mixture of formal examinations and coursework in your taught modules
  • You will undertake more self-directed work in completing your final project

Research project

Examples of past projects include: 

  • Classical groups and simplicity
  • Deterministic chaos
  • The rendezvous search problem 
  • Proof of the Sylow theorem

Teaching

You will learn primarily through a combination of lectures and tutorials, in addition to a significant amount of independent study and research.

You will be assigned an Academic Adviser who will guide you throughout your time at Queen Mary. The School of Mathematical Sciences also has a dedicated Student Support Officer to provide you with advice and guidance, with a focus on non-academic issues.

 

The MSc modules are very thought-provoking; I relish the opportunity to work things out for myself or to collaborate with others on the course, studying together to tackle problems and identify solutions.

Maria Sultana, MSc Mathematics

Where you'll learn

Facilities

  • Our new, £18m Mathematical Sciences building with high-quality teaching rooms, private and group study areas and a new social hub
  • A shared office and dedicated computer lab with Bloomberg terminals for MSc students
  • Library access to 8,000 mathematical books and subscriptions to a large number of mathematical journals
  • On-campus accommodation for all new full-time postgraduate students from outside London

Campus

Teaching is based at Queen Mary’s main Mile End campus, one of the largest self-contained residential campuses in the capital. Our location in the heart of London’s East End offers a rich cultural environment.

We have invested £105m in new facilities to offer our students an exceptional learning environment. As well as the Mathematical Sciences building, this includes the new Graduate Centre, providing 7,700 square metres of learning and teaching space.

The campus is 15 minutes by tube from Central London, where you will have access to many of the University of London’s other facilities, such as Senate House.

About the School

School of Mathematical Sciences

Research in the School of Mathematical Sciences covers a diverse range of subjects in pure and applied mathematics, and is consolidated into research groups reflecting the School’s key strengths. 

We have  invested approximately £18 million in our building to provide state-of-the-art research, teaching and study facilities for staff and students.

The University holds a university-level Silver Award for the Athena SWAN Charter, which recognises and celebrates good employment practice for women working in mathematics, science, engineering and technology in Higher Education and research. The School of Mathematical Sciences holds its own department-level Athena Swan Bronze award.  

We are a registered Supporter of the LMS Good Practice Scheme

In the most recent Research Excellence Framework (REF 2014), Queen Mary ranked ninth in the UK among multi-faculty universities and fifth for our percentage of 3* and 4* research outputs.

Career paths

Students who have graduated from this programme have gone into a variety of roles including Software Engineer, Audit Associate, Data Analyst - Crime and Compliance, Data Scientist, Associate Data Consultant, Senior Investor Relations Analyst, PhD Student, Research Assistant, Anti-Money Laundering Analyst and more. Recent employers include Transport for London, KPMG, Oxford University Clinical Research Unit, UK Health Security Agency, UK Trade Remedies Authority, Office for National Statistics and Oxford-Man Institute of Quantitative Finance.

Fees and funding

Full-time study

September 2025 | 1 year

Conditional deposit

Home: Not applicable

Overseas: £2000
Information about deposits

Part-time study

September 2025 | 2 years

The course fee is charged per annum for 2 years. Note that fees may be subject to an increase on an annual basis - see details on our tuition fees page.

Conditional deposit

Home: Not applicable

Overseas: £2000
Information about deposits

Queen Mary alumni can get a £1000, 10% or 20% discount on their fees depending on the programme of study. Find out more about the Alumni Loyalty Award

Funding

There are a number of ways you can fund your postgraduate degree.

Our Advice and Counselling service offers specialist support on financial issues, which you can access as soon as you apply for a place at Queen Mary. Before you apply, you can access our funding guides and advice on managing your money:

Entry requirements

UK

Degree requirements

A good 2:2 (55% or above) or above at undergraduate level in in Mathematics or Mathematics with another subject such as Statistics, Physics or Computing.

Find out more about how to apply for our postgraduate taught courses.

International

English language requirements

The English language requirements for our programmes are indicated by English bands, and therefore the specific test and score acceptable is based on the band assigned to the academic department within which your chosen course of study is administered. Note that for some academic departments there are programmes with non-standard English language requirements.

The English Language requirements for entry to postgraduate taught and research programmes in the School of Mathematics falls within the following English band:

Band 4: IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking

We accept a range of English tests and qualifications categorised in our English bands for you to demonstrate your level of English Language proficiency. See all accepted English tests that we deem equivalent to these IELTS scores.

Visas and immigration

Find out how to apply for a student visa.

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