Computer Science

The Faculty of Mathematics offers two honours degrees in Data Science: a Bachelor of Mathematics (BMath - Data Science) and a Bachelor of Computer Science (BCS - Data Science). The Data Science academic plans are offered jointly by the Department of Statistics and Actuarial Science and by the David R. Cheriton School of Computer Science.

This academic plan has the same requirements as the BCS with the following additional requirements:

• One of
  • MATH 235 Linear Algebra 2 for Honours Mathematics
  • MATH 245 Linear Algebra 2 (Advanced Level)
• One of
  • MATH 237 Calculus 3 for Honours Mathematics
  • MATH 247 Calculus 3 (Advanced Level)
• All of
  • CS 348 Introduction to Database Management
  • CS 451 Data-Intensive Distributed Computing
  • STAT 330 Mathematical Statistics
  • STAT 331 Applied Linear Models
  • STAT 341 Computational Statistics and Data Analysis
• One of
  • CS 480 Introduction to Machine Learning
  • CS 485 Statistical and Computational Foundations of Machine Learning
  • CS 486 Introduction to Artificial Intelligence
• One additional course from the following list
  • CS 448 Database Systems Implementation
  • CS 454 Distributed Systems
  • CS 480 Introduction to Machine Learning
  • CS 485 Statistical and Computational Foundations of Machine Learning
  • CS 486 Introduction to Artificial Intelligence
• Two of
  • STAT 431 Generalized Linear Models and their Applications
  • STAT 440 Computational Inference
  • STAT 441 Statistical Learning - Classification
  • STAT 442 Data Visualization
  • STAT 443 Forecasting
  • STAT 444 Statistical Learning - Advanced Regression

Note

Students who take STAT 440 cannot also count this course toward the “One additional course chosen from” requirement for the Bachelor of Computer Science.