Bachelor in Mathematics and Statistics (3 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 Bachelor in Mathematics and Statistics is a 3-year program at Queen Mary University of London, suitable for students who want to study math and statistics in English. This program helps students develop strong analytical skills and understand mathematical concepts.

The curriculum covers subjects like algebra, calculus, probability, and statistics. Students also learn programming skills in Python and develop problem-solving skills through modules like differential equations and statistical modeling. In the third year, students work on a project and take elective modules like financial mathematics or machine learning.

Graduates of this program can work as data analysts, statisticians, or mathematicians in industries like finance, healthcare, or technology. They can also work as business analysts, operations researchers, or data scientists. Employers may include consulting firms, pharmaceutical companies, or financial institutions.