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MMath Computer Science - Data Science Specialization

Admission Requirements: 

Applicants to the Data Science specialization in Computer Science should satisfy the admission requirements of the Master of Mathematics in Computer Science degree programs: 

• Honours bachelor degree in Computer Science, Engineering or related degree with a minimum overall B+ (78%) average from a recognized university 

• A formal background in the following areas of computer science: programming languages, data structures, operating systems, algorithms, computer organization and architecture and a background in calculus, linear algebra, probability and statistics 

• Experience in a senior level statistics course is preferable, but not required 

Structure and Length: 

The Data Science specialization in Computer Science and in Statistics will have a common structure but a different emphasis depending on which specialization students are admitted to, their skill sets, and interests. Students will graduate with advanced training in both Computer Science and Statistics, taking a combination of required and elective courses that provide a solid foundation in this emerging area. 

The MMath Computer Science, Data Science specialization consists of eight one-term graduate courses. Students may elect to take an optional internship position for one term. The expected duration is three terms (four if internship is included). 

Courses: 

All Computer Science Data Science students should take a minimum of 4 CS courses. At least two of the CS courses should be at the 700 or 800 level, at least one of which should be at the 800 level. 

One foundational course to be completed in the Fall (entry) term. 

• STAT 845 Statistical Concepts for Data Science (for non- STAT major background students) 

Two common core courses: 

• STAT 847 Exploratory Data Analysis 

• CS 651 Data-Intensive Distributed Computing 

One required breadth course: 

• CS 648 Database System Implementation 

• CS 680 Introduction to Machine Learning 

• CS 685 Machine Learning Theory: Statistical and Computational Foundations 

Data Science students must take four additional elective courses from a list of selected graduate courses in the 600, 700, and 800-level series in Computer Science, and the 800 and 900-level series in Statistics.

Students enrolled in this program should be aware of the degree requirements