The Bachelor of Science in Mathematics program offers a broad range of mathematics courses along with a sequence of three physics courses. The focus is on applying mathematics to sciences, making it suitable for students interested in graduate studies or careers in engineering, mathematics, or science. The curriculum includes fundamental topics such as calculus, linear algebra, differential equations, and data analysis, designed to develop competence in these areas while integrating technology and communication skills.
Why this course is highly recommended
This program is highly recommended for students interested in applying mathematics to real-world problems in science and engineering fields. The department offers strong support from professors and opportunities to participate in colloquiums and networking events, all aimed at ensuring student success and preparing them for diverse career paths or graduate work. The curriculum’s focus on both theory and practical skills makes it a versatile choice for future opportunities.
Students can also pursue minors such as Data Science or Actuarial Science, each requiring a specific set of courses. The Data Science minor, for example, includes courses in data analysis and predictive modeling, alongside mathematics preparation courses like calculus and statistics. The curriculum encourages modelling real-world problems using mathematics and emphasizes understanding abstraction, proofs, and technological applications.
Application fees
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1st year tuition fees
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The program requires 60-61 credits, including core mathematics and physics courses, along with electives. Mathematics requirements include courses like Calculus I & II, Linear Algebra, and Differential Equations. Students must also complete three upper-level mathematics or physics courses approved by a faculty advisor, plus a sequence of calculus-based physics courses. The minor in mathematics and Data Science minors have their own specified credit requirements outlined in the Course Catalog.

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Graduates of this program are equipped to model real-world problems mathematically, use technology effectively, and communicate complex ideas clearly. This prepares students for careers in engineering, science, data analysis, and other technical fields. The program also provides a solid foundation if students choose to pursue graduate studies in mathematics or related disciplines, as exemplified by students like Steven Rimdzius, who leveraged their coursework for internships and industry analysis.