Major in Data Sciences

About this programme

This module is jointly offered by the Department of Computer Science and the Department of Statistical and Actuarial Sciences. Calculus 1000A/B or Calculus 1500A/B plus Calculus 1501A/B (or Calculus 1301A/B with a mark of at least 85%); Mathematics 1600A/B or Mathematics 1700A/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 (but not required) first-year courses: Data Science 1000A/B, Statistical Sciences 1023A/B, or the former Statistical Sciences 1024A/B . Note: Numerical and Mathematical Methods 1412A/B and Numerical and Mathematical Methods 1414A/B ; or the former Applied Mathematics 1412A/B and the former Applied Mathematics 1414A/B or the former Applied Mathematics 1413 may be substituted for the 1.0 Calculus course requirement. Numerical and Mathematical Methods 1411A/B or the former Applied Mathematics 1411A/B may be substituted for Mathematics 1600A/B or Mathematics 1700A/B . If not taken in the first year, Mathematics 1600A/B or Mathematics 1700A/B (or Numerical and Mathematical Methods 1411A/B ) must be completed prior to the second term of Year 2. Module 7.0 courses: 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 . 3.0 courses : Data Science 3000A/B (or the former Computer Science 4414A/B, the fo