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The Master of Science in Data Science program addresses the increasing demand for skilled data science experts across STEM, healthcare, and various industries, equipping students with valuable competencies for this rapidly expanding career sector. Distinguished by its comprehensive curriculum, the program provides diverse coursework designed to help non-computer science students acquire essential skills for data-focused roles in business, engineering, healthcare, and scientific environments. The curriculum focuses on developing the ability to extract meaningful patterns from data, make informed data-based decisions, and clearly articulate data-driven conclusions. Through partnerships with local organizations, students engage with authentic challenges, techniques, and datasets in their coursework. The program emphasizes practical coding experience through project-based learning, combines education with community service opportunities, and promotes inclusive teaching methods to enhance student engagement and persistence in data science studies.
An undergraduate degree, preferably in engineering or mathematics, that includes one semester of calculus and experience in programming
A 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework. In particular, performance in engineering, science and mathematics  is emphasized.
A sum of verbal plus quantitative scores of at least 300 on the GRE, with GRE quantitative score of at least 155 and GRE verbal score of at least 145.
International applicants and applicants whose native language is not English will need to take the Test of English as a Foreign Language (TOEFL) and score at least 80 with no area score of less than 20, or take the International English Language Testing System (IELTS) exam and score at least 6.5 in all areas.