University of Massachusetts Boston

What you'll study

The programme builds a strong foundation in core mathematics—calculus, linear algebra, real analysis and differential equations—while emphasising computational techniques and numerical methods used to solve real-world problems. Coursework typically includes:

• Core mathematics: multivariable calculus, linear algebra, real analysis and ordinary differential equations.
• Computational methods: numerical analysis, scientific computing, numerical linear algebra and algorithms for solving large-scale systems.
• Applied and modelling courses: partial differential equations, mathematical modelling, optimisation and computational simulation.
• Programming and data skills: courses in programming for mathematicians (commonly Python, MATLAB or similar), data structures, and introductory machine learning or data analysis.
• Probability and statistics: probability theory, mathematical statistics and applied statistical methods relevant to computational work.
• Electives and breadth: choices that may include discrete mathematics, dynamical systems, numerical PDEs, computational geometry, scientific visualisation, high-performance computing and domain-focused electives from physics, engineering or economics.
• Capstone and research opportunities: an undergraduate capstone project or research placement supervised by faculty, where students develop and implement computational models or numerical experiments on substantive problems.

Students progress from foundational theory to project-based work, with opportunities to engage in independent study and collaborate with faculty on research in computational mathematics and its applications.

Entry requirements

Admission to the Bachelor of Science in Mathematics typically requires completion of secondary education with strong preparation in mathematics. Applicants are expected to demonstrate competence in algebra, precalculus and calculus, and familiarity with problem-solving rather than only procedural work.

• Academic preparation: successful secondary school credentials with substantial mathematics content (A-levels, International Baccalaureate, or equivalent). Coursework in calculus is strongly recommended.
• Standardised tests and transcripts: submission of official transcripts; test requirements vary with admissions pathways—applicants should consult the university for current policies.
• Programming experience: not strictly required, but prior exposure to programming or computational thinking is advantageous and can strengthen an application.
• Transfers and mature applicants: the programme accepts transfer students with appropriate college-level mathematics coursework; non-traditional applicants may be considered based on previous academic or professional experience.

Placement into specific first-year mathematics courses may be determined by diagnostic assessments or prior coursework; students may be advised to take preparatory modules to ensure readiness for the computational sequence.

Career prospects

Graduates with a computational mathematics degree from UMass Boston are prepared for careers that require quantitative analysis, model building and software-based problem solving. Typical roles include:

• Data analyst, data scientist or machine learning engineer in technology, healthcare, finance and government.
• Quantitative analyst or risk modeller in financial services and insurance.
• Software developer or computational scientist working on numerical simulation, scientific computing or algorithm development.
• Analyst roles in operations research, logistics and optimisation for industry and public sector organisations.
• Technical roles in biotech, engineering firms and research labs where mathematical modelling and computation are central.
• Further study: many graduates continue to graduate-level programmes (Masters or PhD) in applied mathematics, computer science, statistics, engineering or related fields and pursue careers in research and academia.

Internships, undergraduate research and project experience offered through the programme help students build portfolios and industry contacts that support job placement.

Why study at University of Massachusetts Boston

University of Massachusetts Boston offers a strong, practice-oriented mathematics programme within an urban research university setting. The Department of Mathematics and Statistics provides faculty who are active in applied and computational research, and undergraduates have opportunities to participate in supervised research projects and capstone experiences.

• Location and industry links: being in the Boston metropolitan area gives students access to internships and collaborative opportunities with technology, biotech, finance and government organisations.
• Computing resources: students benefit from campus computing facilities and faculty expertise in numerical methods, scientific computing and data analysis.
• Small-class teaching and advising: the department emphasises close faculty-student interaction, advising for career development and support for building graduate-school applications.
• Flexible pathways: the programme supports interdisciplinary study through electives and joint opportunities with departments such as computer science, physics and engineering.

Together, these features make UMass Boston a practical choice for students who want a rigorous mathematical education with direct routes into computational careers or further study.