Computer Science

B.Sc. in Data Science

Data Science is an interdisciplinary field that combines the rigour of Computer Science, Mathematics, and Statistics for the purpose of deriving strategic decisions from data analysis.

Program Overview:

Total length: 40 courses
CS courses: 11
MATH courses: 4
STAT courses: 6
Jointly offered (CS/MATH/STAT) courses: 4
CS, MATH, or STAT options: 3
Other required courses: 2
Electives: 10

Required Courses:

Download the Course Requirements (PDF) for this program.

Credit hours	BSc in Data Science Required Courses	Course Name
0	SCI 099	Skills for Science Students
3	CS 110	Programming and Problem Solving
3	CS 115	Object-Oriented Design
3	CS 165 or STAT 165	Introduction to Programming with Python
3	CS 210	Data Structures and Abstractions
3	CS 220	Theoretical Foundations
3	CS 261 or MATH 261	Methods in Numerical Analysis
3	CS 265	Introduction to Data Science
3	CS 320	Artificial Intelligence
3	CS 321	Machine Learning
3	CS 340	Advanced Data Structures and Algorithms
3	CS 365	Data Wrangling
3	CS 375	Database and Information Retrieval
3	CS 465	Data Mining
3	MATH 110	Calculus I
3	MATH 111	Calculus II
3	MATH 122	Linear Algebra I
3	MATH 221	Introduction to Proofs and Problem Solving
3	STAT 160	Introductory Statistics
3	STAT/MATH 251	Introduction to Probability
3	STAT 252	Introduction to Statistical Inference
3	STAT 300	Statistical Learning and Predictive Modelling
3	STAT 301	Introduction to Statistical Computing
3	STAT 354	Linear Statistical Models
3	STAT 418	Time Series Analysis and Forecasting
9	Three MATH, STAT, or CS courses at the 300-level or higher.
3	CS 496 or STAT 496	Data Science Capstone
84	Subtotal: Major Requirements 65.00% Major GPA required
3	ENGL 100	Critical Reading and Writing I
3	ENGL 110	Critical Reading and Writing II
12	Four Arts, La Cité, or Media, Art, and Performance electives
6	Two Natural Science electives
12	Four Open electives
120	Total: 65.00% Program GPA required