Arkansas Tech University

What you'll study

This programme builds a strong foundation in pure and applied mathematics while emphasising computational methods and numerical problem solving. You will complete core courses such as Calculus I–III, Linear Algebra, Differential Equations and Real Analysis, and follow those with applied and computational subjects including Numerical Analysis, Scientific Computing, Mathematical Modelling and Computational Methods.

• Core mathematics: Calculus sequence, Linear Algebra, Differential Equations, Real Analysis, Abstract Algebra or Modern Algebra.
• Computational and applied courses: Numerical Analysis, Scientific Computing, Computational Linear Algebra, Mathematical Modelling and Simulation, Algorithms and Data Structures (programming-focused).
• Statistics & probability: Probability and Mathematical Statistics, Applied Statistics and Statistical Computing.
• Programming & tools: Practice with languages and tools commonly used in computational mathematics such as Python, MATLAB, R or equivalent environments, and instruction in high-performance computing concepts.
• Capstone & research: Senior capstone project or undergraduate research experience applying mathematical and computational techniques to a real problem; opportunities for internships with local industry or university research groups.

Entry requirements

Applicants should hold a high school diploma or equivalent with a solid background in mathematics. Recommended preparation includes college-preparatory mathematics through calculus or precalculus, and coursework in sciences and computing where available. Admissions review typically includes submission of official high school transcripts; standardised test scores (SAT/ACT) may be considered according to university policy.

Transfer applicants should provide college transcripts demonstrating readiness for upper-level mathematics courses. International applicants must meet the university's English language proficiency requirements and provide equivalent academic documentation.

Career prospects

Graduates with a computational mathematics specialism are prepared for a wide range of careers that require quantitative analysis and programming. Typical roles include:

• Data analyst, data scientist or business intelligence specialist
• Software developer or computational engineer focusing on scientific and numerical software
• Quantitative analyst or risk analyst in finance and insurance, including pathways to actuarial work
• Operations research analyst or modelling specialist for industry and government
• Research assistant or technician roles in university, national labs or private research
• Secondary school mathematics teacher (with appropriate certification) or graduate study in mathematics, applied mathematics, computer science, engineering, or statistics

Why study at Arkansas Tech University

Arkansas Tech University offers a campus-centred undergraduate experience with access to faculty who teach and supervise undergraduate research. The mathematics programme emphasises hands-on computational skills alongside theoretical training, supported by campus computing resources and laboratory facilities.

Students benefit from opportunities for internships and partnerships with regional employers as well as preparation for graduate study. Smaller class sizes facilitate close faculty mentoring, while degree pathways allow students to customise electives toward data science, engineering or education career goals.