University of Delaware

What you'll study

The Applied Mathematics programme combines core mathematics with applied courses and computational training. Early years focus on calculus, linear algebra, differential equations and mathematical proof, while later years emphasise modelling, numerical analysis and specialised application areas. Students work with continuous and discrete models, learn algorithmic approaches, and gain experience in mathematical software.

• Core mathematical foundations: single and multivariable calculus, linear algebra, ordinary differential equations, probability and mathematical statistics.
• Applied and computational methods: numerical analysis, scientific computing, optimisation, mathematical modelling, partial differential equations.
• Advanced and elective topics: dynamical systems, stochastic processes, Fourier analysis, computational linear algebra, data analysis and machine learning electives where available.
• Capstone and project work: an applied mathematics seminar or senior thesis/project emphasising modelling, computation and presentation of results; opportunities for interdisciplinary projects with engineering, physics, biology or economics.
• Practical computing: instruction in programming for mathematicians (commonly Python, MATLAB or similar), use of mathematical software, and exposure to high-performance computing for large-scale problems.

The programme allows flexibility to take minors or electives in related areas such as computer science, engineering, economics or statistics to tailor the degree to specific career aims.

Structure

The degree follows a multi-year progression from foundational courses to specialised electives and a culminating project or seminar. Students typically satisfy general education requirements alongside major courses, and may pursue research, internships or cooperative experiences during the programme.

Entry requirements

Admission to the University of Delaware and the Applied Mathematics major requires a strong background in secondary-level mathematics. Competitive applicants typically present:

• High-school mathematics including algebra, geometry and precalculus; calculus is highly recommended if available.
• Strong grades in quantitative subjects and overall academic performance.
• Standardised test information where required by the university (check current university admissions policy for test-optional arrangements).
• Supporting materials such as a personal statement, recommendation letters and evidence of quantitative aptitude or extracurricular activities in STEM are beneficial.

For transfer students, a portfolio of completed college-level mathematics courses (calculus and linear algebra) and a minimum college GPA in line with university transfer policy will be considered. International applicants must meet English language proficiency requirements.

Career prospects

Graduates with a bachelor’s in Applied Mathematics are prepared for roles that require strong quantitative and modelling skills. Typical career paths include:

• Data analyst, data scientist or business intelligence roles using statistical and computational methods.
• Quantitative analyst and risk modelling in finance and insurance.
• Engineering and computational modelling positions in aerospace, mechanical, civil and biomedical engineering firms.
• Software development and algorithm design, particularly in areas demanding mathematical sophistication.
• Research assistant positions and progression to graduate study (master’s or PhD) in mathematics, statistics, computer science, engineering, or applied fields.

Students often enhance employability through internships, research with faculty, interdisciplinary projects and campus career services that connect them with regional employers and national opportunities.

Why study at University of Delaware

The University of Delaware offers a supportive environment for applied mathematics with access to research-active faculty, computational facilities and interdisciplinary collaboration across engineering, physical sciences and economics. The department emphasises hands-on learning through projects, opportunities for undergraduate research, and connections to regional industries and national research networks.

Students benefit from small-class interactions in upper-level courses, advising that helps tailor the programme to career goals, and extracurricular societies or clubs that foster professional development. The university’s location and career resources make it straightforward to pursue internships and cooperative experiences that translate academic skills into practical workplace experience.