Data Science (MS)
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Requirements for the MS in Data Science (36 credits)
Required Courses*:
course Python for Data Science
course Foundations of Data Science with R
course Data Visualization, Reporting, and Presentations
course Fundamentals of Data Engineering
course Data Ethics, Privacy, and Human Beings
course Applied Machine Learning
course Data Science Capstone Project
course Advanced Data Engineering
course Advanced Machine Learning
*: students who demonstrate or document sufficient prior knowledge in these areas may be at liberty to fulfill some required credits with Internship or Independent Study.
In addition to GPA and program duration requirements, MSDS students must satisfy the following requirements to remain in academic good standing:
Complete and receive no more than two (2) B-'s or below in the following core courses:
course Foundations of Data Science with R
course Data Visualization, Reporting, and Presentations
course Fundamentals of Data Engineering
course Data Ethics, Privacy, and Human Beings
course Applied Machine Learning
Successful completion of the Capstone , DATA510 (after successful completion of DATA 501, DATA 502, DATA 503, and DATA 505).
A student may not enroll in the MSDS and MSCS programs simultaneously.