Cost & earnings at University of Wisconsin–Parkside What students borrow here, and what they go on to earn
The Bachelor of Science in Mathematics with a Computational Mathematics emphasis at the University of Wisconsin–Parkside combines rigorous mathematical theory with practical computational methods. It suits students who enjoy problem solving, programming and numerical modelling and who aim for careers in data-intensive, scientific or technical roles or for further study in mathematics or applied fields.
The programme builds a strong foundation in pure and applied mathematics while emphasising computational techniques used to solve real-world problems. Core topics include multivariable calculus, linear algebra, ordinary differential equations and real analysis, together with courses focused on numerical methods, scientific computing and mathematical modelling. Students typically study programming for mathematical applications (often using languages and environments such as Python, MATLAB or similar tools), numerical linear algebra, numerical solution of differential equations, optimization, and computational statistics.
Optional and elective modules allow exploration of related areas such as discrete mathematics, probability and mathematical statistics, abstract algebra, complex variables, partial differential equations and data science topics. The curriculum usually includes opportunities for project-based learning, senior capstone or research experiences where students apply computational methods to problems from engineering, the natural sciences, finance or public policy.
Applicants should hold a high-school diploma or equivalent with a strong background in mathematics. Typical preparation includes pre-calculus and calculus; applicants who have studied advanced mathematics or completed college-level calculus will be best prepared. Competence in algebra and problem solving is expected, and prior exposure to a high-level science or computing course is helpful.
For transfer students, successful completion of college-level calculus and introductory linear algebra or statistics is commonly required. Admission also considers overall academic record and preparation for college-level mathematics; students who need additional preparation may be advised to take bridging courses or start with an introductory calculus sequence.
Graduates with a computational mathematics degree are prepared for a wide range of careers that require strong quantitative and computational skills. Common roles include data analyst, numerical analyst, software developer, quantitative analyst, operations researcher, and positions in modelling and simulation within engineering and the natural sciences. Graduates also go on to careers in finance, insurance and technology, or continue to graduate study in applied mathematics, computer science, statistics or engineering.
The programme’s emphasis on computational tools and project work supports employability in industry and government labs, and prepares students for roles that require translating mathematical models into implementable algorithms and software.
University of Wisconsin–Parkside offers small class sizes and accessible faculty, which provides opportunities for close mentorship and active involvement in undergraduate research projects. The department emphasises hands-on computational experience using current software and computing environments, and students can take advantage of campus computer labs and collaborative projects with regional employers.
Parkside’s location in the Milwaukee–Chicago region makes it practical to pursue internships and co-curricular experiences with a variety of industry and research partners. The programme is structured to support students aiming for immediate employment as well as those preparing for graduate study or teacher certification pathways.
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