Cost & earnings at Marquette University What students borrow here, and what they go on to earn
An undergraduate Data Science major that combines computational, mathematical and statistical methods with hands-on analytics. Suited to students who want theory-based training plus practical data skills and options to specialize in areas such as big data and machine learning or pursue a research thesis.
Coursework emphasizes both theoretical foundations and applied analytics. Students learn computational and statistical techniques and gain hands-on experience in data analysis. The curriculum offers specialization pathways, including Big Data and Machine Learning, and provides a research-based option through a thesis for students interested in intensive inquiry.
The source page lists the Data Science major among Marquette’s undergraduate offerings but does not specify numeric admission criteria or prerequisites. Prospective applicants should consult Marquette admissions for program-specific entry requirements and application procedures.
Graduates are prepared for a variety of career paths in today’s data-rich environment where analytics skills are in demand. The program trains students to apply statistical, mathematical and computational methods to real-world problems, opening opportunities across industries that rely on data-driven decision making.
While the source does not detail funding for this specific major, Marquette provides standard university financial aid and scholarship resources; students should contact the university’s admissions and financial aid offices for information on scholarships, assistantships or other funding options relevant to data programs.
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