Master of Science in Data Science

Admission Requirements

  1. Bachelor’s degree.
  2. Overall undergraduate GPA of at least 3.0.
  3. Satisfy the School of Graduate Studies’ English Language Proficiency requirements as published in the graduate catalog.
  4. International applicants who have received their bachelor’s or master’s degree in the United States or English-speaking Canada are not required to submit the TOEFL or IELTS.
  5. Satisfy all admission requirements of the School of Graduate Studies

Degree Requirements

Students seeking the Master of Science degree in Data Science must satisfy all general requirements set forth by the School of Graduate Studies as well as particular requirements set forth by the School of Electrical Engineering and Computer Science.  To obtain the MS in Data Science, students must complete 36 credit hours in the following courses

Required Courses - 36 credits:

DATA 511Computing for Data Science I3
DATA 512Computing for Data Science II3
DATA 513Mathematics for Data Science3
DATA 520Databases3
DATA 525Data Engineering and Mining3
DATA 527Predictive Modeling3
DATA 530Artificial Intelligence3
DATA 532Applied Machine Learning3
DATA 540Data Visualization3
DATA 550Data Security3
PHIL 575Data Science Ethics3
or DATA 589 Data Science Ethics
DATA 994Data Science Capstone3

Students with an established background in programming and/or mathematics may petition to skip one or more of DATA 511, DATA 512, or DATA 513, depending on background knowledge.  Such students may substitute any course with prefix EE, CSCI, or EECS that is eligible for graduate credit.