University of New Haven

What you'll study

The Applied Mathematics curriculum combines a strong foundation in pure mathematics with applied and computational methods used to model and solve practical problems. You will normally progress through the standard calculus sequence and study core courses such as linear algebra, ordinary and partial differential equations, real analysis, probability and mathematical statistics.

The programme emphasises numerical and computational methods, with typical modules including numerical analysis, scientific computing, mathematical modelling, and optimisation. Students can expect to work with programming languages and tools commonly used in applied mathematics—such as Python, MATLAB and numerical libraries—and to learn techniques for data handling, simulation and visualization.

Elective options allow specialisation areas that commonly include data science and machine learning, operations research, mathematical finance, computational biology, and dynamical systems. The degree usually culminates in a senior capstone experience or project where students apply modelling and computation to a sustained real-world problem, often in partnership with faculty or external organisations.

Structure and learning formats

• Core mathematics and analysis courses that build theoretical foundations.
• Applied and computational modules focused on algorithms, numerical methods and programming.
• Electives enabling interdisciplinary study with computer science, engineering, business or the physical sciences.
• Capstone or senior research project demonstrating integrative skills and communication of quantitative results.
• Opportunities for internships, cooperative education placements and faculty-led research projects.

Entry requirements

Applicants should hold a recognised secondary-school qualification and demonstrate strong preparation in mathematics; typical preparation includes completion of algebra, geometry, precalculus and calculus where available. Admissions consider the overall academic record, with particular attention to quantitative courses and grades.

In addition to academic qualifications, successful applicants benefit from evidence of problem-solving ability, analytical thinking and some prior experience with programming or computing, although introductory programming is provided within the degree. International applicants must present equivalent secondary credentials and meet English language proficiency requirements.

The University of New Haven also encourages applicants to highlight relevant extracurricular activities, mathematics competitions, summer programmes or workplace experience in their applications to demonstrate preparedness for a mathematically intensive programme.

Career prospects

Graduates with a bachelor’s in Applied Mathematics are well positioned for a wide range of careers that value quantitative and computational skills. Common entry-level roles include data analyst, quantitative analyst, actuarial trainee, operations research analyst, software or systems developer, and technical analyst in engineering and scientific organisations.

The programme also prepares students for graduate study in applied mathematics, statistics, data science, engineering, finance and related disciplines. Many alumni move into industry sectors such as finance and insurance, technology and software, consulting, manufacturing, energy, healthcare analytics and government research labs. Internship and co-op experiences during the degree frequently lead to permanent positions.

Why study at University of New Haven

The University of New Haven offers a hands-on, career-oriented approach to applied mathematics with small class sizes and close faculty mentoring. Students have access to modern computing facilities and laboratory resources that support numerical simulation, data analysis and coding projects.

UNH emphasises experiential learning through internships, cooperative education placements and applied research with faculty across mathematics, computer science and engineering departments. The university’s location and industry connections provide opportunities for internships and collaborations with regional and national employers, while dedicated career services help translate academic experience into employment or graduate-study opportunities.

Students benefit from a supportive academic environment that encourages interdisciplinary study and real-world problem solving, enabling graduates to apply mathematical expertise directly to practical challenges in industry, finance, technology and research.