**Admission Requirements**

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

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

• A background in calculus, linear algebra, and computer science

• Experience in a senior level computer science 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 Statistics, 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 Statistics Data Science students should take a minimum of 4 STAT courses, and no courses that are neither CS nor STAT

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

• CS 600 Fundamentals of Computer Science for Data Science (non-CS major background).

Two common core courses:

• STAT 847 Exploratory Data Analysis

• CS 631 Data-Intensive Distributed Analysis

One required breadth course:

• STAT 841 Statistical Learning: Classification

• STAT 842 Data Visualization

• STAT 844 Statistical Learning: Function estimation

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.