University of Hartford

What you'll study

The programme builds a foundation in pure and applied mathematics while emphasising computational techniques and numerical analysis. Early study typically covers multivariable calculus, linear algebra and differential equations. Core computational and applied modules commonly include numerical methods, scientific computing, mathematical modelling, probability and statistics, and algorithms and data structures.

Students also take courses in mathematical analysis and discrete mathematics to develop rigorous reasoning, and often select electives from areas such as complex variables, optimisation, partial differential equations, stochastic processes and machine learning. Programming instruction is integrated through courses that use languages and tools common in scientific computing (for example Python, MATLAB or similar), and a capstone project or senior seminar gives students the opportunity to apply mathematical and computational tools to a substantial applied problem.

• Calculus sequence (single and multivariable)
• Linear Algebra
• Differential Equations
• Numerical Analysis / Numerical Methods
• Scientific Computing and Programming
• Probability and Mathematical Statistics
• Mathematical Modelling and Applied Mathematics
• Real Analysis / Foundations of Analysis
• Electives: optimisation, PDEs, stochastic processes, machine learning
• Senior capstone or research project

Entry requirements

Admission is through the University of Hartford undergraduate admissions process. Applicants should demonstrate a strong secondary-school preparation in mathematics, including coursework in algebra, geometry and preferably pre-calculus or calculus. Candidates will also be assessed on their overall academic record, recommendation letters and a personal statement outlining interest in mathematics and computation.

International applicants must meet the University’s English-language proficiency requirements and submit certified academic transcripts translated into English. Placement in the correct course sequence may be determined by placement testing or previous coursework. Specific grade point averages, test-score expectations and supplementary requirements are published by the University’s admissions office.

Career prospects

Graduates with a computational mathematics degree are well placed for roles that require strong quantitative thinking and computational skills. Typical career paths include data analyst, data scientist, quantitative analyst in finance, software developer, operations research analyst, and roles in modelling and simulation for engineering, environmental science or healthcare. The degree is also a strong preparation for postgraduate study in mathematics, statistics, computer science, engineering or applied fields.

Students often secure internships and co‑op placements with regional employers, financial institutions and technology firms, or pursue undergraduate research with faculty to build a portfolio of applied projects that support employment or graduate applications.

Why study at University of Hartford

The University of Hartford offers a liberal-arts environment with relatively small class sizes that allow for close interaction with faculty and personalised mentoring. The mathematics programme’s computational emphasis is supported by hands‑on lab facilities and coursework that bridges theoretical mathematics with practical computing tools.

Being located near Connecticut’s capital provides access to internships, industry partnerships and research opportunities with local companies and institutions. Interdisciplinary collaboration is encouraged, enabling students to combine mathematics with fields such as computer science, engineering, finance or the natural sciences. Faculty mentorship, capstone projects and career services help students translate academic experience into professional outcomes or further study.