Structure | Master of science (MSc) – Data Science and Business Analytics

Programs > Master’s Degrees > Master of Science (MSc) – Data Science and Business Analytics > Structure

Master of science (MSc) – Data Science and Business Analytics

Thesis stream	Supervised project stream
7 courses (21 credits)	12 courses (36 credits)
Research Workshop Thesis (24 credits) Total: 45 credits	Supervised Project: organizational intervention mandate, academic case study, specific research mandate or expert opinion (9 credits) Total: 45 credits
	If you are an international student and have chosen the supervised project stream, you can register for Business French courses and the Quebec Experience course. This pathway can help you integrate into the Quebec and Canadian job markets. To find out if you are eligible, please check the Tuition Fees tab.
Program length: 16-24 months (excluding preparatory phase)

Candidate from another domain
Undergraduate preparatory courses (3 credits) may be imposed by the Academic Advisor if prior learning does not meet specialization requirements. You have one year to take these courses, preferably at the start of your studies. See the structure below for the non-exhaustive list of courses.

Applicants with an undergraduate degree from the French system (BAC with 3 years of study)
If you only have an undergraduate degree from the French system, you will be required to complete 15 credits (5 courses) in a short MSc preparation program.

Select a stream

Compulsory Courses of the Specialization

9 credits

MATH 60604A

Statistical Modeling

MATH 60617A

Implementation of Business Optimization Models

MATH 60629A

Machine Learning I: Large-Scale Data Analysis and Decision Making

Compulsory Methodology Courses

6 credits

MATH 60603A

Statistical Learning

MATH 60606A

Fundamentals of Optimization

Optional specialization courses – 15 credits

Block 1 – Minimum 3 credits

MATH 60611A

Advanced Statistical Learning

MATH 60638A

Forecasting Methods

MATH 80601A

Bayesian Modelling

MATH 80621A

Survival and Longitudinal Data Analysis

Block 2 – Minimum 3 credits

MATH 60608A

Convex Optimization in Data Science

MATH 60615A

Decision Analysis

MATH 60623A

Sequential Decision Making under Uncertainty

MATH 80627A

Complex Networks Analysis

Block 3 – Minimum 3 credits

MATH 60607A

Algorithms for Optimization and Big Data Analysis

MATH 60621A

Text Mining

MATH 60630A

Machine Learning II: Deep Learning

MATH 80630A

Trustworthy Machine Learning

Elective course

3 credits

Choose one 3-credit course among the courses offered in the MSc, including those of the specialization, or the PhD programs. You may take up to 3 Master's program course credits from another university. Courses from another university have to be approved by the academic advisor.