Gain the skills to analyze large data sets and uncover insights using data visualization, statistical modeling, and data mining techniques. Develop expertise in data management, machine learning, and predictive analytics while adopting a holistic approach grounded in a strong business foundation. Earn a STEM-designated degree. Complete the 32-credit degree in as little as one year full-time or over multiple years part-time. Tailor your curriculum with a wide range of electives to match your career or company goals all while maintaining the flexibility to balance full-time work.
Baccalaureate Field Individuals from all baccalaureate fields are encouraged to apply. The exact course requirements will be determined based on an individuals baccalaureate field and work experience. All applicants must have had the following background coursework: mathematics through the level of calculus covering integration and differentiation, and statistics through regression analysis. Grade Point Average At least 3.00/4.00 for the final 60 semester hours (90 quarter hours) of undergraduate studies. Applicants with a masters degree must have maintained a GPA of at least 3.00/4.00 in that program.
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