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The DSA program features a comprehensive, technically-demanding core curriculum complemented by specialized courses in chosen domains.
State-of-the-art Big Data and Analytics methodologies are integrated across all program coursework, available both online and on-campus. Each spring, students participate in a week-long executive session on campus, collaborating with faculty and industry experts.
Participants will benefit from close faculty mentorship, hands-on experience tackling real-world Big Data challenges, and focused exploration of concepts within their specialization area.
Degree Requirements
34 Credit Hours Total
19 Credit Hours in Data Science Foundation Courses
9 Credit Hours in Specialization Track electives
3 Credit Hour Practical Case Study
3 Credit Hour Final Project (OR 6-credit Thesis Research option for on-campus students replacing both Case Study and Capstone)