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Curriculum for Master of Science in Data Science

Total number of credits for both capstone and thesis track: 30 credits

Required Courses (12 Total Credits)
DASC 6911 Big Data Analytics (3 credits)
DAVA 6010 Data Mining (3 credits)
DAVA 7000 Data Visualization (3 credits)
MATH 6811 Statistics for Data Science (3 credits)

Choose Four Electives from the following list (12 Total Credits):
DASC 8211 Machine Learning (3 credits)
DASC 8222 Data Engineering (3 credits)
DAVA 8011 Internship in Visual Analytics (3 credits)
*DASC 8801-2 Special Topics in Data Science (1-2 credits)
*DASC 8811-2 Special Topics in Data Science (1-2 credits)
(*Note: DASC 8801-2 and DASC 8811-2 represent one and two credit special topics courses that may be scheduled in three-credit course sequences.)
DASC 8803 Special Topics in Data Science (3 credits)
DASC 8813 Special Topics in Data Science (3 credits)
MATH 6611 Operations Research (3 credits)
DAVA 7111 Text Mining (3 credits)
MATH 7211 Network Analysis (3 credits)
MATH 8311 Simulation (3 credits)
PSMA 7800 Ethical Challenges of Big Data (3 credits)
PSYC 7214 Cognition for Visualization (3 credits)

Choose a Specialization: Capstone or M.S. Thesis Tracks (6 Total Credits)

Capstone:
5th Elective: Choose an additional elective from the list of electives
DASC 9311 Data Science Project (3 credits)

Or

M.S. Thesis:
DASC 9412 Thesis Research I (3 credits)
DASC 9413 Thesis Research II (3 credits)