Felician University

What you'll study

This programme blends core mathematical theory with practical statistical and computational skills. You will follow a structured sequence of courses that build from foundational calculus and linear algebra to upper-level courses in analysis and probability, alongside applied and computational electives.

• Foundations: Calculus sequence, Linear Algebra, Discrete Mathematics and an introduction to mathematical reasoning.
• Core mathematics: Real Analysis, Abstract Algebra, Differential Equations and Numerical Analysis or Applied Mathematics.
• Statistics and probability: Introductory and intermediate Probability, Mathematical Statistics, Regression and Experimental Design.
• Computational and applied skills: Courses in Statistical Computing, Data Analysis with R and/or Python, Mathematical Modelling and Applied Statistics.
• Electives and concentrations: Options may include Actuarial Science preparation, Time Series, Biostatistics, Operations Research, Topology or Graph Theory depending on interest and availability.
• Capstone and experiential learning: A senior capstone or research project is typically required, often paired with internship opportunities, practicum placements, or independent study under faculty supervision.

Structure

The degree is designed to be completed on a full-time basis over the typical undergraduate period, combining general education requirements with a mathematics and statistics major. Students are encouraged to undertake internships and research projects; opportunities to take graduate-level courses may be available for qualified students.

Entry requirements

Applicants should hold a recognized secondary school diploma or equivalent. Strong performance in mathematics courses at secondary level is expected, and prior experience with calculus is recommended. Admissions typically consider academic records, teacher references and a personal statement that demonstrates quantitative interest and aptitude.

Transfer applicants are evaluated on post-secondary transcripts and course equivalencies. Mature students or those with non-traditional backgrounds are considered on an individual basis; preparatory or bridge coursework can be advised for students needing to strengthen their mathematical background.

Career prospects

Graduates leave prepared for a range of careers that value quantitative reasoning and data skills. Common paths include:

• Data analyst or data scientist roles in business, healthcare, technology and government.
• Actuarial and risk-analyst positions — students often pursue professional actuarial exam preparation alongside their degree.
• Financial analyst, quantitative analyst and roles in insurance or consulting.
• Secondary school mathematics teaching, often after meeting additional certification requirements.
• Further study in graduate programmes in mathematics, statistics, data science, actuarial science or related fields.

Why study at Felician University

Felician University offers a close-knit learning environment with small class sizes and accessible faculty who provide mentoring and research supervision. The programme emphasises both theoretical understanding and applied computing, with opportunities to work on community-connected projects and internships in the New Jersey metropolitan region.

The university’s liberal arts context supports interdisciplinary study, allowing students to pair mathematics and statistics with complementary fields such as computer science, business or the natural sciences. Faculty support for exam preparation, career advising and graduate school planning helps graduates move smoothly into professional or academic next steps.