Master of Science (Applied) MSc(Applied) in Data Science

Build advanced capability in machine learning, data management, and analytics while preparing to solve complex problems across industry and research.

Papers
COMP 421 Machine Learning and Data Mining COMP 428 High Performance Scientific Computing (Offered from 2027) DHUM 403 When Machines Decide STAT 401 Applied Statistical Methods and Models 20 points from 400-level STAT or QGEN 20 points from COMP 422, COMP 423, COMP 424, DATA 403. DATA 404 20 points of approved papers at 400-level or above 40 points from SCNC 501, SCNC 502 (Offered from 2027), SCNC 503, SCNC 597, SCNC 598, SCNC 599 (Offered from 2027) Note: DHUM 403 may be substituted for 20 points of approved papers at 400-level or above for students who have completed DHUM 303 or DHUM 403.

Papers

COMP 421 Machine Learning and Data Mining
COMP 428 High Performance Scientific Computing (Offered from 2027)
DHUM 403 When Machines Decide
STAT 401 Applied Statistical Methods and Models
20 points from 400-level STAT or QGEN
20 points from COMP 422, COMP 423, COMP 424, DATA 403. DATA 404
20 points of approved papers at 400-level or above
40 points from SCNC 501, SCNC 502 (Offered from 2027), SCNC 503, SCNC 597, SCNC 598, SCNC 599 (Offered from 2027)

Note: DHUM 403 may be substituted for 20 points of approved papers at 400-level or above for students who have completed DHUM 303 or DHUM 403.