Marquette University
Computational Mathematical and Statistical Sciences (Undergraduate)
Cost & earnings at Marquette University What students borrow here, and what they go on to earn
An undergraduate major that combines theoretical mathematics, statistical thinking and computational techniques to form a foundation for advanced data-science work and research. Suited to students who want a rigorous, quantitative preparation for data-driven problem solving or for continued study in analytics, statistics, computer science or research-focused graduate programs.
What you'll study
Core coursework focuses on mathematical foundations, statistical reasoning and computational proficiency. The programme trains students to use theory-based and hands-on data-analytic approaches and to apply modern computational statistical tools to real-world problems.
Entry requirements
The source page lists this programme as an undergraduate major at Marquette University. Specific admission criteria or prerequisite course requirements are not provided on the referenced page; prospective applicants should consult Marquette admissions for detailed entry standards.
Career prospects
Graduates are prepared for roles that demand strong quantitative, statistical and computational skills. The broader data-science ecosystem and related fields—such as analytics, research, industry positions and further study at the graduate level—are natural pathways.
Scholarships & funding angle
The programme description does not specify scholarships or funding; applicants should review Marquette University's general undergraduate financial aid and scholarship information or contact the university for opportunities linked to quantitative and data-focused majors.
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