Completion of first-year requirements with no failures. Students must have an average of at least 70% in 3.0 principal courses, including (Calculus 1000A/B or Calculus 1500A/B) and (Calculus 1501A/B or (Calculus 1301A/B with a mark of at least 85%)), Mathematics 1600A/B, Computer Science 1026A/B or Data Science 1200A/B (either with a mark of at least 65%), Computer Science 1027A/B (with a mark of at least 65%) plus 0.5 additional principal courses, with no mark less than 60% in any of the 3.0 principal courses.
Recommended course: Data Science 1000A/B or Statistical Sciences 1023A/B.
Please note: Applied Mathematics 1412A/B and Applied Mathematics 1414A/B (or the former Applied Mathematics 1413) may be substituted for the 1.0 Calculus requirement. Applied Mathematics 1411A/B may be substituted for Mathematics 1600A/B. If not taken in the first year, Mathematics 1600A/B or Applied Mathematics 1411A/B must be completed prior to the second term of second year.
3.5 courses: Data Science 2000A/B, Computer Science 2210A/B, Computer Science 2211A/B, Computer Science 2212A/B/Y, Statistical Sciences 2857A/B, Statistical Sciences 2858A/B, Statistical Sciences 2864A/B.
0.5 course from: Computer Science 2214A/B, Mathematics 2151A/B, Mathematics 2155F/G.
3.5 courses: Data Science 3000A/B (or former Computer Science 4414A/B, the former Statistical Sciences 3850F/G, the former Software Engineering 4460A/B), Computer Science 3319A/B, Computer Science 3340A/B, Statistical Sciences 3843A/B, Statistical Sciences 3859A/B, Statistical Sciences 3860A/B, Statistical Sciences 4850F/G.
0.5 course from group 1: one of Computer Science 4490Z or Statistical Sciences 4844A/B.
1.5 courses from group 2: Computer Science 3346A/B, Computer Science 3377A/B (or Science 3377A/B), Computer Science 4411A/B, Computer Science 4416A/B, Computer Science 4417A/B, Computer Science 4418A/B, Computer Science 4442A/B, Computer Science 4490Z or Statistical Sciences 4844A/B, Statistical Sciences 4860A/B, Statistical Sciences 4864A/B, Statistical Sciences 4960F/G.
0.5 course from group 3: Any 4000-level course in Computer Science, Statistical Sciences, or Data Science.
Note: Among the courses chosen from groups 1, 2, and 3, 1.0 course must have a Computer Science subject area, and 1.0 course must have a Statistical Sciences subject area.