University of New Brunswick

What you'll study

The graduate programme in Mathematics at the University of New Brunswick provides advanced coursework and supervised research across pure and applied areas. Core study areas typically include real and complex analysis, abstract algebra, topology, numerical analysis, ordinary and partial differential equations, probability and mathematical statistics, and optimisation. Students will also encounter applied topics such as mathematical modelling, computational methods, scientific computing, and dynamical systems, depending on supervisor expertise.

Programme structure is research focused: students undertake advanced coursework in consultation with their supervisor and complete an independent research project or thesis under faculty supervision. Research seminars and colloquia form a regular part of the programme, helping students present work and engage with current literature. Some students pursue a predominantly coursework route or project-based option where available; prospective applicants should confirm available pathways with the department.

Entry requirements

• Academic background: An undergraduate degree with a substantial mathematics component, normally an honours degree or equivalent, with strong performance in advanced mathematics courses (real analysis, algebra, linear algebra, differential equations, and probability/statistics where relevant).
• Transcripts and references: Official transcripts and at least two academic references from instructors or supervisors who can comment on your mathematical ability and research potential.
• Statement of research interests: A brief statement describing your academic background, research interests, and reasons for graduate study in mathematics; for thesis applicants this should indicate possible faculty supervisors or research areas.
• CV or résumé: A current CV summarising education, any research or relevant work experience, publications or presentations if applicable.
• English language proficiency: Applicants whose first language is not English must meet the university's English language requirements (accepted tests include IELTS and TOEFL); check the department for minimum scores.
• Additional requirements: Some applicants may be asked to provide sample work, a research proposal, or to meet with prospective supervisors. Competitive applicants typically demonstrate strong quantitative coursework and clear readiness for independent research.

Career prospects

Graduates of the UNB master’s in Mathematics move into a wide range of careers. Many continue to doctoral study in mathematics or closely related disciplines. Outside academia, alumni find roles in data science, statistics, actuarial science, quantitative finance, software development, operations research, engineering consulting, and government research labs. The strong analytical and problem-solving training also suits careers in analytics teams across industry sectors such as energy, shipping and natural resources, where UNB has regional research partnerships.

Why study at University of New Brunswick

• Research supervision and small cohorts: UNB’s mathematics department offers close faculty supervision and mentorship, with opportunities for students to work directly with researchers in pure and applied areas.
• Interdisciplinary collaboration: Students can engage with interdisciplinary projects across engineering, computer science, environmental science and industry partners, taking advantage of UNB’s applied research culture.
• Facilities and computing resources: Access to departmental computing facilities and numerical software supports research in computational and applied mathematics.
• Teaching and funding opportunities: Graduate students frequently have opportunities for teaching assistantships and research assistantships, and the department and university administer scholarships and awards to support graduate study.
• Location and community: Based on the Fredericton campus, the programme benefits from a close-knit academic community and the livability of a mid-sized city, with connections to provincial and regional employers and research networks.