Master in Mathematics MSc (2 Years)

Queen Mary University of London, with roots dating to 1785 and a current student body of about 32,000, is a major London-based university that blends historic traditions with modern research and teaching. Located in one of the world’s most cosmopolitan cities, Queen Mary hosts approximately 13,120 international students and offers an extensive portfolio of 703 programs across humanities, law, medicine, engineering and the sciences. Its central London setting provides unrivalled cultural, professional and networking opportunities.

The university is known for strong professional programs, research impact and industry links, offering students access to clinical placements, legal clinics, laboratories and entrepreneurial support. Small-group teaching and diverse seminar options complement large lectures, while dedicated career services, internships and mentorship programs help students prepare for competitive job markets. Research-active faculties support postgraduate study and collaborative projects with global partners.

Life at Queen Mary is shaped by London’s vibrant student scene, from arts and dining to industry events and volunteering. Comprehensive international student support, language assistance and accommodation services ease the transition for newcomers. Prospective international applicants should check program-specific entry requirements, scholarship opportunities and early application deadlines to make the most of study and professional pathways in a dynamic global city.

The Master in Mathematics MSc at Queen Mary University of London is a 2-year program for students who want to advance their math skills. This degree helps students develop a strong foundation in mathematical sciences and improve their research skills.

The curriculum includes compulsory modules like Research Methods in Mathematical Sciences and Project Dissertation, as well as elective modules such as Dynamical Systems, Machine Learning with Python, and Bayesian Statistics. Students also learn computational skills using programming languages like Python and R.

Graduates of this program can pursue careers as Data Analysts, Mathematicians, Machine Learning Engineers, Statistical Analysts, or Research Scientists in various industries, including finance, healthcare, and technology.