Widener University

What you'll study

This programme builds a strong foundation in pure and applied mathematics while emphasising computational methods and scientific computing. Core coursework typically includes calculus, multivariable calculus, linear algebra, ordinary differential equations, real analysis and discrete mathematics. Computational and applied modules often cover numerical analysis, numerical linear algebra, scientific computing, mathematical modelling, optimisation, probability and mathematical statistics, and algorithm design.

Students learn to implement algorithms and models using contemporary programming languages and tools (for example Python, MATLAB or comparable environments), and gain experience with data handling, visualization and computation on modern hardware. The curriculum usually culminates in a senior capstone project or research experience in which students develop, implement and evaluate computational models under faculty supervision.

• Calculus I–III and Multivariable Calculus
• Linear Algebra and Differential Equations
• Real Analysis or Foundations of Analysis
• Numerical Analysis and Scientific Computing
• Algorithms, Data Structures or Computational Complexity
• Mathematical Modelling and Applied Mathematics
• Probability, Mathematical Statistics and Data Analysis
• Capstone Project or Undergraduate Research

Programme structure

The degree is organised to combine major coursework with general education requirements. Students are encouraged to take complementary electives in computer science, engineering, physics, economics or finance to broaden applied skills. Opportunities for internships, cooperative education experiences and faculty-led research projects are commonly integrated into the programme.

Entry requirements

Typical entry requires a secondary school diploma or equivalent with strong performance in mathematics. Recommended preparation includes pre-calculus or calculus, and coursework in physics or computer science where available. Admissions decisions are based on a combination of academic record, recommendation letters and a personal statement; standardised test scores may be considered where provided. International applicants should submit equivalent academic transcripts and proof of English language proficiency according to the university's guidelines.

Transfer applicants are usually asked to provide college transcripts and syllabi for mathematics and science courses so previously earned credit can be evaluated. Prospective students who are returning to study or changing fields are encouraged to contact the department to discuss preparatory coursework.

Career prospects

Graduates with a computational mathematics degree have versatile career options across technology, industry and research. Common roles include:

• Data analyst or data scientist – applying statistical and computational tools to interpret and communicate data-driven insights.
• Software developer or computational engineer – developing algorithms and software for simulation, modelling and analysis.
• Quantitative analyst or risk analyst in finance – constructing mathematical models for pricing, risk and optimisation.
• Operations research analyst – using mathematical modelling and optimisation in logistics, supply chain and decision support.
• Actuarial analyst – assessing risk and financial security models (with further professional exams).
• Graduate study and academic research – continuing into specialised master’s or PhD programmes in applied mathematics, computational science or related fields.

Widener students typically gain practical experience through internships and co-op placements in the Philadelphia–Delaware Valley region and beyond, which helps with transition to employment or postgraduate study.

Why study at Widener University

Widener offers a personalised undergraduate experience with small class sizes and close faculty mentorship, which is particularly valuable in mathematics and computational fields. The department emphasises hands-on learning: students have access to computing laboratories, contemporary numerical and data-analysis software, and opportunities for undergraduate research that integrate mathematics with engineering, physics and computing.

The university’s regional connections create access to internships and industry projects, while faculty teaching and advising focus on preparing students for both employment and graduate study. For students who value a strong mathematical foundation combined with practical computational training, Widener provides an environment conducive to applied learning and professional development.