University of Tulsa

What you'll study

The Applied Mathematics degree combines core mathematical theory with practical computational techniques. Early years emphasise foundational courses such as single- and multivariable calculus, linear algebra and differential equations. You will then progress to intermediate and advanced topics including numerical analysis, real analysis, probability and mathematical statistics, optimization and dynamical systems.

• Core modules: Calculus sequence, Linear Algebra, Ordinary Differential Equations, Real Analysis.
• Applied and computational modules: Numerical Methods, Scientific Computing (programming in Python/MATLAB), Mathematical Modelling, Optimization, Computational Linear Algebra.
• Probability and statistics: Probability Theory, Mathematical Statistics, Data Analysis and Regression.
• Electives and applications: Financial Mathematics, Mathematical Biology, Partial Differential Equations, Operations Research, Machine Learning and Data Science electives.
• Capstone experience: Senior seminar, project or research thesis that applies analytic and computational tools to a practical problem, often in collaboration with faculty or industry partners.

Students are encouraged to take supporting courses in computer science, physics, engineering, economics or actuarial science depending on career interests. The programme places emphasis on programming, data handling and the communication of quantitative results.

Entry requirements

Admission to the University of Tulsa requires a completed secondary school qualification from an accredited institution. Applicants to the Applied Mathematics major should present a strong background in mathematics—completion of pre-calculus and calculus courses in high school is highly recommended, with additional preparation in physics or computer science advantageous.

• Academic record: Competitive high-school grades with particular strength in mathematics.
• Recommended preparation: Coursework in calculus and algebra; exposure to programming or computer science benefits success in the programme.
• Application materials: Official transcripts and any school-specific forms. International applicants will need to meet English proficiency requirements.
• Standardised tests: The university's policy on SAT/ACT or other standardised tests can vary; check current admissions guidance for details.

Career prospects

Graduates with a degree in Applied Mathematics have a wide range of career pathways. The programme develops skills in modelling, quantitative reasoning, computation and data analysis that are in demand across multiple sectors.

• Data analyst or data scientist roles in tech, healthcare, energy and finance.
• Actuarial and risk analysis positions within insurance and consulting firms.
• Quantitative analyst or model developer roles in banking, trading and investment firms.
• Engineering and operations research positions focusing on optimisation and systems modelling.
• Software development roles that value strong mathematical foundations.
• Academic or professional postgraduate study (master's or PhD) in applied mathematics, statistics, computer science, engineering or related fields.

Students often gain practical experience through internships with regional employers, undergraduate research projects with faculty, and interdisciplinary collaborations that enhance employability.

Why study at University of Tulsa

The University of Tulsa offers a personalised learning environment with small class sizes and direct access to faculty, enabling close mentorship and research supervision. The Department emphasises hands-on computational training and real-world modelling, supported by modern computing facilities and software tools.

• Strong interdisciplinary links with engineering, computer science and economics programmes to tailor your studies to specific career goals.
• Opportunities for undergraduate research and a senior capstone project that connect theory to applied problems.
• Local and regional industry connections—particularly in energy, aerospace and finance—provide internship and employment pathways.
• Flexible course options, minors and combined-degree possibilities that allow you to add complementary skills, such as computer science or data analytics.

Overall, the programme prepares students for technical roles that require both rigorous mathematical thinking and practical computational ability, with support from a campus environment focused on student success.