Lynn University

What you'll study

The Computational Mathematics degree blends foundational mathematics with applied and computational coursework. Core topics include multivariable calculus, linear algebra, differential equations, discrete mathematics and real analysis to build theoretical understanding, alongside applied courses such as numerical analysis, scientific computing, mathematical modelling and optimisation.

• Calculus sequence and multivariable calculus
• Linear algebra and matrix theory
• Differential equations and dynamical systems
• Probability, mathematical statistics and stochastic processes
• Numerical methods, error analysis and algorithms for scientific computation
• Computer programming for mathematicians (typically Python, MATLAB or similar)
• Data structures, algorithms and introductory machine learning or data analytics
• Mathematical modelling, optimisation and computational simulation
• Capstone project or supervised research integrating computation and applied mathematics

Students typically complete a combination of major requirements, liberal arts core courses and electives. Practical components include laboratory-style computational modules, project work, and opportunities for internships or undergraduate research with faculty. Electives may allow specialisation in areas such as financial mathematics, cryptography, scientific computing, or data science.

Entry requirements

Applicants should demonstrate strong preparation in mathematics, usually through high school mathematics that includes algebra, geometry and precalculus or calculus. Typical academic preparation is equivalent to a B average or better in secondary school mathematics. Lynn University considers the whole application, including transcripts, a personal statement, and academic references.

• High school diploma or equivalent with a strong mathematics record; completion of precalculus or calculus is recommended.
• Standardised test scores may be considered where submitted, but admissions policies vary—check Lynn University’s admissions guidance for current practice.
• International applicants must provide proof of English proficiency if required (for example via recognised tests or other accepted evidence of English ability).
• Transfer applicants should submit college transcripts; prior coursework in calculus and linear algebra is usually expected for direct entry into upper‑level major courses.

Career prospects

Graduates with a computational mathematics degree are well placed for roles that require quantitative reasoning and programming. Common career paths include data analyst, data scientist, software developer, quantitative analyst in finance, operations researcher, actuarial analyst, and roles in analytics or modelling in industries such as healthcare, engineering, technology and government.

Many graduates also pursue postgraduate study in applied mathematics, computer science, data science, statistics or related disciplines. The programme’s emphasis on practical computing and a capstone research project helps prepare students both for immediate employment and for graduate programs.

Why study at Lynn University

Lynn University offers small class sizes and close faculty mentoring, helping students develop both theoretical depth and practical computational skills. The university emphasises experiential learning—students have access to computing labs, supervised undergraduate research, internships and project-based courses that connect classroom learning to real problems.

Situated in South Florida, Lynn provides networking opportunities with regional employers and a supportive career services team to assist with internships and job placement. The curriculum is designed to be flexible, allowing students to combine mathematics with complementary fields such as computer science, finance or the natural sciences to tailor their degree to career goals.