Lesley University

What you'll study

This programme combines core mathematics with computational and applied coursework. Students typically complete a calculus sequence, linear algebra, real analysis or foundations of mathematics, and ordinary differential equations. Computational and applied modules often include numerical analysis, scientific computing, probability and mathematical statistics, discrete mathematics, and mathematical modelling.

Because of the computational emphasis, students also study programming and computer science topics such as introductory programming (Python or Java), data structures and algorithms, scientific computing, and database or data-analysis tools. The curriculum commonly culminates in a capstone project or senior seminar where students undertake a substantial computational or modelling project, often in collaboration with faculty or local industry partners.

• Core mathematics: calculus, linear algebra, proof-based foundations/real analysis
• Computational courses: numerical methods, scientific computing, programming
• Applied topics: probability & statistics, mathematical modelling, differential equations
• Electives: machine learning or data science topics, discrete mathematics, optimization, computational geometry
• Capstone or senior project with an applied/computational focus and opportunities for internships or research

Entry requirements

Lesley University typically seeks applicants with a high school diploma or equivalent and a record of academic preparation in mathematics. Competitive applicants usually have completed courses in algebra, geometry, precalculus and at least one year of calculus or college-level mathematics where available. Strong performance in STEM subjects is advantageous.

Additional requirements commonly include a completed application, official high school transcripts, and one or more academic references or a school counsellor recommendation. Standardised tests may be optional depending on admission policies; international applicants normally need to demonstrate English language proficiency through recognised tests or equivalent qualifications. Mature students or transfer applicants should submit college transcripts and, where applicable, evidence of prior quantitative coursework.

Career prospects

Graduates with a computational mathematics degree are prepared for a variety of technical and analytical roles. Common career paths include data analyst, quantitative analyst, software developer, computational scientist, operations researcher, and roles in modelling and simulation. The programme also provides a strong foundation for graduate study in mathematics, computer science, data science, engineering or finance.

Alumni frequently find opportunities in technology firms, finance and insurance companies, healthcare analytics, scientific research groups and government agencies. Students interested in actuarial careers can combine the degree with exam preparation and relevant internships to pursue professional credentials.

Why study at Lesley University

Lesley University emphasises small classes and close faculty mentorship, which supports personalised learning and undergraduate research in mathematics and computation. The institution’s liberal-arts environment encourages interdisciplinary study, allowing students to combine mathematical training with courses in computer science, the natural sciences, education or the arts.

Located near Boston and Cambridge, Lesley offers proximity to a vibrant regional hub of technology, biotech and academic institutions, creating internship and collaborative research opportunities. Career services, experiential learning options and faculty-led projects help students build practical skills and professional networks that support post-graduate employment or further study.