Mathematical Sciences

The BSc Mathematical Sciences programme at Queen Mary University of London offers a comprehensive and rigorous education in the fundamental principles and advanced concepts of mathematics, designed to equip students with both theoretical understanding and practical skills applicable across various scientific and engineering disciplines. This undergraduate degree is tailored for students who have a passion for problem-solving, logical reasoning, and quantitative analysis, providing a broad-based curriculum that covers core areas such as algebra, calculus, discrete mathematics, probability, and statistics, along with opportunities to specialise in fields like applied mathematics, computational mathematics, and mathematical physics.

Throughout the course, students will engage in a variety of modules that develop their analytical thinking, mathematical modelling capabilities, and computer programming skills essential for modern data-driven environments. The programme emphasizes hands-on training with mathematical software and coding languages, encouraging students to work on real-world problems and research projects that enhance their understanding and employability. In addition to technical expertise, students will gain critical skills in communication, teamwork, and project management by participating in group projects and presentations, preparing them for diverse careers in academia, finance, technology, data science, and research.

Queen Mary University of London prides itself on a vibrant academic community with expert faculty members who are active researchers, contributing to cutting-edge developments in mathematical sciences. The programme benefits from strong links with industries and research institutes, providing students with opportunities for placements, internships, and collaborative projects. Students also have access to state-of-the-art computing facilities, libraries with extensive mathematical resources, and a variety of extracurricular activities to enrich their university experience.

Graduates of the BSc Mathematical Sciences programme will be well-equipped with a strong mathematical foundation, analytical intuition, and problem-solving skills to pursue postgraduate studies or enter the workforce in roles that require quantitative and analytical expertise. Whether aiming for a career in academia, finance, data analysis, or software development, students will find this programme offers a solid stepping stone into their future careers, supported by a university renowned for its excellence in science and technology education.

Algebra

The world-leading algebra section includes research in linear groups and algebraic groups, topological and combinatorial aspects of group theory, finite p-groups and computational group theory. We also research in representation theory, quantum algebras, and algebraic geometry, including non-commutative geometry, model theory, and higher or categorical algebra.

Analysis

Research work centres on harmonic and functional analysis, especially harmonic analysis on groups, operator algebras, infinite dimensional manifolds and holomorphy. We also research in Jordan algebras and analysis on infinite-dimensional manifolds; operator algebras and functional analysis; and non-commutative geometry.

Combinatorics

A very active group that works both on topics within combinatorics (especially finite geometry and design theory) and on links with algebra (permutation groups), logic (model theory), information and coding theory, and design of experiments.

Geometry and Topology

Research includes algebraic topology, Riemannian geometry, noncommutative and algebraic geometry. There are connections with other areas such as in group theory, relativity and dynamical systems.

Logic

Research is mainly in model theory, particularly connections with algebraic geometry, model theory of the Frobenius map, geometry of fields with measure, (nonstandard) cohomology theories and motivic integration.

Number Theory

Areas being pursued include algebraic number theory and Diophantine approximation. Number Theory also features in connection with research in other areas in the School including in group theory, logic and dynamical systems.

Probability

Areas on the pure mathematics side include randomised algorithms, Markov chains (especially mixing time of combinatorially or geometrically defined Markov chains), probabilistic existence proofs of combinatorial structures, and use of random combinatorial structures.

Relativity and Computation

The Relativity Group interacts with the Astronomy Group in the Physics Department. Research interests include: exact solutions of Einstein's equations and applications of algebraic computing, topological questions, alternative theories of gravity, black holes, and gravitational radiation.

Statistical Mechanics;

Research interests of this group include generalised statistical mechanics methods applied to a variety of complex systems (hydrodynamic turbulence, econophysics, traffic flow, biological and medical applications). The group uses tools from large deviation theory, nonequilibrium statistical mechanics and the theory of stochastic processes. The group also works on complex networks, in particular their dynamical evolution and chracterization.

Statistics

The Statistics group works on the design of experiments, on Bayesian statistics, on algebraic statistics, and on sequential analysis. In the design of experiments there is particular emphasis on applications in the pharmaceutical industry, agriculture, the food industry and chemistry, but the underlying algebraic theory and combinatorial structure are also explored. Members of the group are also regularly involved in applied statistics projects with researchers from other disciplines.

Requirements

• Candidates for the PhD or MPhil programmes in mathematics or statistics should normally have a first or good upper second-class honours BSc in mathematics or statistics, or a more advanced qualification such as MSci, MMath, or MSc.
• A full academic transcript (a record of courses taken and grades achieved)
• Applicants must submit documentation of GRE results obtained during the last five years, showing scores for all sections of the examination
• Evidence of your proficiency in English (for international students)
• Resume / Curriculum Vitae
• Two academic referees to send confidential reference letters to econpgadm@qmul.ac.uk
• A research proposal (1000 words)
• IELTS 7.0

The Mathematical Sciences program at Queen Mary University of London offers a range of financing options to support students throughout their studies. The university provides various scholarships, bursaries, and funding opportunities designed to assist both domestic and international students in covering tuition fees and living expenses. Prospective students are encouraged to explore scholarship opportunities such as the Queen Mary Scholarships, which are awarded based on academic excellence and potential. Additionally, there are industry sponsorships and partnership awards that recognize outstanding achievement in mathematics and related disciplines.

Students may also consider applying for government-funded student loans available through the UK Student Loans Company if they meet eligibility criteria. These loans help cover tuition fees and provide maintenance support for living expenses during the course duration. International students are advised to seek scholarships offered specifically for international applicants, which can significantly reduce financial burdens. The university also offers part-time work opportunities and on-campus employment to eligible students, allowing them to gain work experience while earning supplementary income.

Financial aid guidance is provided by the university’s Student Finance Office, which offers advice on loan applications, funding options, and budgeting for students. It is recommended for students to start exploring funding options early and to carefully review the eligibility criteria and application deadlines for each award. For those studying full-time, the university’s fee payment plans can help manage payments in installments, easing financial planning. Furthermore, some students may qualify for private or external funding sources, including charitable foundations and industry grants, which can be explored through university resources and external agencies.

Overall, Queen Mary University of London aims to make education accessible by providing comprehensive financial support networks and resources. Applicants are encouraged to contact the university’s financial aid advisors early in their application process to ensure they maximize available funding opportunities. Continuous updates and new funding options are regularly communicated to students via official channels, ensuring that students are aware of the latest opportunities to finance their studies in Mathematical Sciences.

Queen Mary University of London offers a comprehensive programme in Mathematical Sciences, designed to provide students with a robust foundation in mathematics, alongside opportunities to specialise in areas such as pure mathematics, applied mathematics, and mathematical physics. The programme emphasizes both theoretical understanding and practical skills, preparing graduates for careers in academia, finance, data science, technology, and other fields that rely heavily on quantitative analysis.

Students enrolled in the Mathematical Sciences programme benefit from a curriculum that covers core topics including algebra, calculus, differential equations, statistics, and mathematical modelling. In addition, advanced modules may include computational mathematics, mathematical logic, and stochastic methods, ensuring that students gain wide-ranging expertise. The programme often includes a projects or dissertation element, allowing students to apply their learned skills to real-world problems and develop independent research capabilities.

Queen Mary University places a strong emphasis on employability, and students have access to a variety of support services, internships, and placement opportunities to enhance their practical experience. The university's location in London offers students numerous opportunities for networking and profession development through collaborations with industries, research institutions, and professional bodies.

Academic staff teaching in the programme are renowned researchers who bring their expertise into the classroom, blending foundational knowledge with cutting-edge developments in the field. The university also promotes an inclusive learning environment, encouraging collaboration, critical thinking, and innovation among students.

The Mathematical Sciences programme at Queen Mary University of London is suitable for students who enjoy problem-solving, abstract thinking, and rigorous analytical approaches. The programme duration is typically three years for the BSc and four years for an integrated Masters (MEng) route, with part-time options available in some cases. Graduates of this programme are well-equipped to pursue careers in sectors such as finance, data analysis, software development, teaching, and further academic research through postgraduate studies.

Throughout the programme, students have access to advanced computing facilities and resources necessary for modern mathematical research. They are also encouraged to participate in seminars, workshops, and math competitions, fostering a vibrant academic community. Overall, the Queen Mary University of London’s Mathematical Sciences degree aims to develop highly skilled, versatile mathematicians ready to meet the challenges of a data-driven world.