Registrar’s Office

1000 DAT

Twenty-six credits which must include:

  1. DAT 115: Introduction to Data Analytics (4 cr)
  2. DAT 315: Machine Learning (4 cr)
  3. Introduction to programming: DAT 116 or CSC 120 (4 cr)
  4. Upper level statistics: MTH 242 or  MTH 342 (4 cr)
  5. Data analytics project: DAT 385 or DAT 399 (2 cr)
  6. Data intensive electives: 8-cr from the following courses, at least 4 cr completed at the upper level: CSC 345, CSC 410, ECN 217, ECN 317, HCA 405, IPH 330, MTH 116, MTH 118, MTH 336, MTH 341, PHY 221, POL 217, PSY 220.
  7. Additional electives may be approved in consultation with the math and computer science faculty.