Simmons University

What you'll study

The programme grounds students in core mathematical theory while building strong computational and software skills. You will study calculus, linear algebra, real analysis and differential equations alongside courses in numerical analysis, scientific computing and algorithm design.

• Core mathematics: multivariable calculus, linear algebra, ordinary differential equations, real analysis and abstract algebra foundations.
• Computational and applied courses: numerical methods, scientific computing, numerical linear algebra, mathematical modelling, and computational methods for differential equations.
• Computer science and data skills: programming (Python, MATLAB or similar), data structures and algorithms, introductory machine learning, and data analysis/statistics.
• Electives and interdisciplinary options: courses in probability and statistics, optimisation, computational biology, financial mathematics, or applied PDEs, often cross‑listed with related departments.
• Capstone and research: a senior capstone project or research practicum supervised by faculty, with options to develop a computational project or participate in faculty research groups.
• Experiential learning: internships, summer research experiences, and project collaborations with industry or Boston‑area research institutions.

Entry requirements

Applicants should present a strong secondary‑school record with particular strength in mathematics. Preparatory coursework typically includes algebra, geometry, trigonometry and preferably some calculus. Admissions review considers the overall academic record, letters of recommendation, a personal statement and any relevant computer science or quantitative experience.

International applicants must demonstrate equivalent academic preparation and English proficiency where required. Transfer applicants are evaluated on prior college coursework in mathematics and related fields; placement coursework may be used to determine initial course registration.

Career prospects

Graduates with a computational mathematics degree are well positioned for roles that require quantitative reasoning and programming. Common career paths include:

• Data analyst or data scientist in technology, healthcare, finance or consulting
• Quantitative analyst or modeller in finance, insurance or risk management
• Software developer or computational engineer, especially on scientific computing teams
• Research assistant or lab programmer in academic and industrial research settings
• Further study at graduate level (Master’s or PhD) in applied mathematics, computational science, statistics, computer science or related disciplines

Why study at Simmons University

Simmons offers a personalised undergraduate experience with small class sizes and close faculty mentoring, which benefits students working through challenging mathematical and computational material. Located in the Boston area, Simmons gives students access to internships, industry partnerships and research opportunities with hospitals, biotech firms and tech companies.

The university emphasises experiential learning: students can engage in undergraduate research, collaborate across disciplines such as computer science and biology, and take advantage of career services that support internship placement and graduate‑school preparation. The programme also fosters a supportive environment for students from groups underrepresented in quantitative fields.