Cost & earnings at Saint Mary’s University of Minnesota What students borrow here, and what they go on to earn
The Bachelor of Science in Mathematics with a concentration in Computational Mathematics at Saint Mary’s University of Minnesota combines rigorous mathematical theory with practical computing and data-analysis skills. It suits students who enjoy problem solving, programming and quantitative modelling and who plan to enter data-driven careers or continue to graduate study in mathematics, computer science or engineering.
The Computational Mathematics programme blends core mathematical subjects with applied and computational topics. You will study courses in calculus, linear algebra, differential equations, probability and mathematical statistics, and real analysis to build a solid theoretical foundation. Applied and computational coursework typically includes numerical analysis, scientific computing, optimization, mathematical modelling, algorithms and data structures, and introductory and intermediate programming (commonly using languages such as Python, MATLAB or R).
The curriculum normally includes project-based classes that emphasise using software tools to solve real-world problems, capstone or senior research projects where students develop and implement computational models, and elective options in areas such as machine learning, cryptography, computational geometry, or computational finance. General education requirements from Saint Mary’s liberal arts programme complement technical study with communication, ethics and interdisciplinary perspectives.
Admission to the bachelor’s programme typically requires a high school diploma (or recognised equivalent) with a strong preparation in mathematics. Applicants are expected to have completed pre-calculus or calculus in high school and courses in algebra and geometry. Colleges in the US commonly consider overall academic record, strength of the mathematics preparation, and other components such as essays and recommendations.
Saint Mary’s University of Minnesota evaluates applications holistically. International applicants should provide evidence of comparable secondary qualifications and, if English is not their first language, proof of English proficiency through accepted tests or institutional waivers. Students transferring from other colleges should provide college transcripts; previously completed calculus and programming courses can be considered for placement or credit.
Graduates with a Computational Mathematics degree are prepared for a wide range of careers that require quantitative and computational skills. Common career paths include data analyst, data scientist, quantitative analyst in finance, software developer, operations research analyst, and roles in scientific computing and engineering firms. The degree also provides strong preparation for graduate study in applied mathematics, computer science, statistics, engineering or actuarial science.
Alumni often find work in industry sectors such as technology, finance, healthcare analytics, government research labs and manufacturing, or pursue teaching careers at secondary or post-secondary levels after appropriate certification. The programme’s emphasis on projects and computing tools helps graduates be job-ready for positions that require practical experience with data, modelling and programming.
Saint Mary’s offers a small-campus environment with close faculty-student interaction and mentoring, which benefits students tackling mathematically rigorous and computational coursework. The university’s liberal arts tradition ensures students develop strong oral and written communication skills alongside technical training.
Students have opportunities for hands-on learning through capstone projects, internships and cooperative arrangements with regional employers and research partners. Faculty members in the mathematics and computer science areas are accessible and often supervise undergraduate research and independent projects. Computing facilities and software resources are available to support numerical work and data analysis.
The programme’s balance of theory, computation and applied practice makes it suitable for students who want both flexibility in career choice and a strong foundation for graduate study.
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