MSc Mathematics

1 Year On Campus Masters Program

Queen Mary University of London

Program Overview

The MSc Mathematics at Queen Mary University of London (QMUL) is a highly flexible and research‑inspired master’s that lets you tailor your degree by choosing from a wide range of advanced mathematics modules, while also completing a substantial dissertation project that connects with real research questions. It’s ideal for students who love deep mathematical thinking and want to build strong analytical and problem‑solving skills whether your goals are further research, industry roles in analytics or quantitative careers.

Curriculum Structure

Semester A – Core Options & Electives
In the first semester you’ll begin with a choice of core introductory options such as Programming in Python or Topics in Scientific Computing, which set you up with essential computational and coding skills for advanced mathematics work. Alongside this, you can choose from a selection of elective modules for example Chaos and Fractals, Group Theory, Partial Differential Equations or Differential Geometry in Theoretical Physics allowing you to start shaping your degree to your interests, whether in pure mathematics, computation or applied areas.

Semester B – Elective Depth & Research Preparation
In the second semester you continue with elective modules aligned with your chosen pathway, deepening your knowledge in areas such as algebraic structures, complex systems or differential equations, and gaining experience with advanced mathematical concepts and techniques through lectures and tutorials. This term builds toward your dissertation by strengthening your theoretical foundations and research skills so you’re ready to tackle your independent project with confidence.

Summer – Dissertation & Major Project
Over the summer term you’ll devote yourself to a major research project dissertation, where you investigate a specific research‑level topic in depth whether it’s deterministic chaos, optimisation problems or a pure algebraic question guided by supervisors and often drawing on the School’s strong research expertise. This project is a standout part of the MSc, giving you hands‑on experience in mathematical research that can support further study or boost your professional portfolio.

Focus areas:
Pure and applied mathematics, mathematical computing and programming, differential equations, abstract algebra, dynamical systems and research‑led mathematical exploration.

Learning outcomes:
You’ll graduate with enhanced mathematical modelling and analytical skills, strong computational and programming abilities, experience in tackling advanced mathematical problems, and confidence to carry out independent research or apply your skills in quantitative careers. Professional alignment (accreditation):
This programme is embedded within a vibrant research environment at QMUL’s School of Mathematical Sciences, preparing you for PhD study or quantitative roles in sectors like finance, technology, analytics and research.

Reputation (employability rankings):
Queen Mary University of London is a member of the Russell Group, reflecting strong research quality and academic standards, and its mathematics graduates go on to careers in research, analytics, consulting, engineering, software and more benefitting from London’s dynamic professional environment.

Experiential Learning (Research, Projects, Internships etc.)

This MSc Mathematics programme is designed so you use mathematics actively rather than just study it. Right from core modules like Programming in Python or Topics in Scientific Computing, you’ll work with real computational tools and develop practical problem‑solving skills that are central to advanced mathematical analysis and industry‑relevant computation. The programme culminates in a major research project/dissertation where you work independently on a topic of your choice reviewing literature, developing ideas, and often applying computational or analytical techniques at research level so you gain hands‑on experience of mathematical investigation. 

The environment at Queen Mary supports your development with modern facilities and opportunities to engage with expert research groups, making your learning dynamic and reflective of professional mathematical practice. 

Practical & Experiential Features of the MSc Mathematics Degree

Research Dissertation Project: In the summer term you undertake a major independent dissertation, exploring a research‑level topic of your choice and potentially including significant computational work this develops deep analytical and project management skills. Computational Tools & Programming Modules: Core modules like Programming in Python and Topics in Scientific Computing give you hands‑on experience with software and programming skills that are vital for modern mathematical work. 
Flexible Module Choice: A wide range of electives from Machine Learning with Python and Computational Statistics with R to Graphs and Networks and Partial Differential Equations lets you tailor your experience and build practical skill sets for your goals.
Collaborative Learning & Tutorials: You’ll engage in small‑group tutorials and collaborative problem solving, building teamwork and communication skills within mathematical contexts. 
Academic Advising: Every student is supported by an Academic Adviser who helps you navigate choices, develop your project, and connect your studies to career goals.Library & Digital Resources: You have access to QMUL’s rich library resources, including thousands of mathematical texts and journal subscriptions, supporting practical research and study. 
Dedicated Maths Facility: The £18 million Mathematical Sciences building provides modern teaching rooms, private and group study areas, and a dedicated computer lab where you can practice and apply what you’ve learned.

Progression & Future Opportunities

Graduate outcomes summary: Completing the MSc Mathematics at Queen Mary University of London (QMUL) opens doors to a wide range of analytical and technical careers from advanced data roles in industry to research‑oriented positions or further study. Graduates typically pursue careers such as Data Scientist, Software Engineer, Quantitative Analyst, Research Assistant or PhD Candidate, applying mathematical insight to real‑world challenges across finance, tech, public sector and research sectors.

Progression & Future Opportunities:

University services that support your career: QMUL’s Career and Enterprise services offer personalised career coaching, CV and interview workshops, employer networking events and access to job boards designed to support postgraduate students in mathematics and STEM fields with tailored guidance and professional development opportunities.
Real employment pathways & roles: Recent graduates from the MSc include professionals working as Software Engineers, Audit Associates, Data Analysts (Crime & Compliance), Data Scientists, Associate Data Consultants, Senior Investor Relations Analysts, Research Assistants, Anti‑Money Laundering Analysts and PhD Students showing the program’s versatility and relevance across sectors. Employers include Transport for London, KPMG, UK Health Security Agency, Office for National Statistics, UK Trade Remedies Authority and Oxford‑Man Institute of Quantitative Finance.
Industry exposure & London advantage: Studying in London places you at the heart of a major financial and tech hub, giving you easier access to employer events, internships and professional networks that value rigorous mathematical and analytical expertise.
Tailored academic and research credibility: The programme’s flexible structure allows you to choose modules in Pure Mathematics or Statistics and Data Science, and complete an independent research dissertation, which strengthens both your analytical credentials and your research experience—valuable for both industry roles and further academic study.
Graduation outcomes: With mathematical training from one of the UK’s larger and research‑active maths departments, graduates are well‑placed for careers in finance, data analytics, consulting, tech and research environments, reflecting strong foundational skills applicable across sectors.

Further Academic Progression:
After finishing the MSc, you could continue into doctoral (PhD) research in areas such as pure mathematics, applied mathematics, statistics, data science or computational mathematics, positioning yourself for careers in academia or specialist research roles. Alternatively, the strong analytical foundation also supports professional pathways like actuarial certification, advanced data science training or further specialised master’s qualifications, enhancing your long‑term career flexibility.