Felician University

What you'll study

The programme blends a liberal arts core with a focused sequence of mathematics and computing courses designed to build analytical thinking and computational skills. You will study core subjects such as calculus, linear algebra, differential equations, real analysis and discrete mathematics alongside applied and computational topics including numerical analysis, scientific computing, data structures and algorithms, mathematical modelling and probability and statistics.

Practical computing instruction emphasises languages and environments commonly used in computational science (for example Python, MATLAB or similar tools), and coursework typically includes laboratory or project components so you can apply algorithms to real problems. Students complete a senior capstone or research project that integrates theoretical mathematics with computational implementation, and can choose electives in areas such as optimization, machine learning, cryptography, dynamical systems or financial mathematics.

Entry requirements

Applicants should hold a high-school diploma or equivalent with a strong record in mathematics. Recommended preparation includes pre-calculus and single-variable calculus where available; coursework in physics or computer science is advantageous. Admissions usually review academic transcripts and a personal statement; standardised test submission policies follow the university's general admissions guidance.

Transfer applicants are considered and should provide college transcripts showing success in introductory calculus and related quantitative courses. Placement testing or advising is typically used to place students into the appropriate first-year mathematics sequence.

Career prospects

Graduates with a computational mathematics emphasis are well positioned for roles that require quantitative modelling and programming skills. Common entry-level careers include data analyst, quantitative analyst in finance, software developer, scientific programmer, operations research analyst, and positions in engineering or technical consulting. The degree also provides strong preparation for graduate study in applied mathematics, computer science, statistics, data science, engineering or actuarial science.

Felician graduates often move into internships and entry-level roles with small and mid-sized firms, technology teams within larger organisations, or continue to professional programmes; the combination of mathematical rigour and hands-on computing experience is valued across industries that rely on data and simulation.

Why study at Felician University

Felician University offers small class sizes and close faculty mentoring that support personalised learning in mathematics. The programme emphasises ethical reasoning and service in keeping with the university’s Franciscan heritage, while providing modern computational training and access to campus computing resources and lab space.

Students benefit from opportunities for undergraduate research, collaborative projects with faculty, and connections to local businesses and regional employers for internships. Career services and advising help students translate classroom experience into internships, employment or graduate study pathways.