Northern Kentucky University

What you'll study

The programme builds a strong foundation in core mathematical subjects alongside courses focused on numerical methods, scientific computing and mathematical modelling. You will take core courses in calculus, linear algebra, differential equations and discrete mathematics, then progress to computational and applied topics such as numerical analysis, optimisation, scientific computing, probability and statistics, and dynamical systems.

• Core mathematics: Calculus sequence, Linear Algebra, Ordinary Differential Equations, Real Analysis or Advanced Calculus, Abstract Algebra and Discrete Mathematics.
• Computational and applied courses: Numerical Analysis, Numerical Linear Algebra, Scientific Computing, Mathematical Modelling, Optimisation, Computational Probability and Statistics.
• Programming and tools: Coursework emphasises practical programming and software used in computation (commonly Python, MATLAB, and exposure to C/C++ or Java), plus experience with libraries for numerical computing and data analysis.
• Capstone and research: A senior capstone or computational project is typically required, often carried out in collaboration with faculty, local industry partners or as part of undergraduate research experiences.
• General education and electives: The degree also includes general education requirements and elective options that allow tailoring to interests in data science, engineering, finance or the physical sciences.

Entry requirements

Applicants need a high school diploma or equivalent with a strong foundation in mathematics. Typical successful candidates have completed algebra, geometry and precalculus or calculus in high school; prior calculus experience is recommended. Northern Kentucky University will require submission of official transcripts and any institutional placement or diagnostic exam results as part of the admissions process.

• Academic preparation: Solid performance in high-school mathematics. Completion of introductory college-level calculus can be advantageous.
• Supporting materials: High school transcript and any college transcripts if applicable. Transfer students should provide college course descriptions for evaluation of prior maths and computing coursework.
• Additional considerations: Placement testing in mathematics may be used to determine starting course level. Students with limited programming experience can usually begin with introductory computing courses offered by the department.

Career prospects

Graduates with a computational mathematics degree obtain strong quantitative, analytic and programming skills that are in demand across many sectors. Career paths commonly pursued include roles in data analysis and data science, scientific and engineering computing, software development, quantitative finance and risk modelling, operations research and optimisation, and roles in government or industry that require mathematical modelling skills.

• Data analyst, data scientist or machine learning engineer
• Numerical analyst or scientific programmer in engineering and physical sciences
• Quantitative analyst in finance and insurance (many graduates pursue actuarial or finance-related certifications)
• Operations researcher or optimisation specialist
• Graduate study in mathematics, applied mathematics, computer science, statistics or engineering

Why study at Northern Kentucky University

Northern Kentucky University offers a mathematics programme with an applied and student-centred focus, emphasising hands-on computational experience and close faculty mentoring. Small to medium class sizes allow accessible interaction with professors, and the department promotes undergraduate research, internships and industry collaborations that help bridge coursework with practical experience.

• Applied focus: The curriculum integrates computing and numerical methods so students gain immediately usable skills for technical roles.
• Undergraduate research and capstones: Opportunities to work on faculty-led research projects or applied capstone projects that demonstrate real-world problem solving.
• Career support: Connections to regional employers, internship opportunities and departmental support for graduate school and certification preparation.