Our Concentrations

Data
Science

# 10

University in Canada

# 0

Computer Science
department globally

$ 25 K

average internship salary

450 +

companies represented

What is Data Science?

As a discipline, statistical science emerged from various scientific domains, established foundations and developed structure through mathematics, and has evolved to become inseparable from scientific computation, machine learning and computer science. Training in Data Science, as well as the field itself, captures all aspects of this evolution and makes it experiential for the trainee. The field of Data Science has emerged as a response to our increasing, and relentless, ability to generate data, particularly on a massive scale, and our reliance upon it in nearly every facet of human endeavour. The importance of the field has led to entirely new type of professional – the Data Scientist.

The Data Science concentration, and the Artificial Intelligence concentration have both been recognized by Forbes as “The 10 Best Artificial Intelligence and Data Science Master’s Courses”.

The Data Science concentration offers students an advanced understanding of statistical and computer science methods, vigorous research training and the opportunity to test your knowledge in the real world through our applied research internship.

Endless Career Opportunities

Discover the endless possibilities to accelerate your career as a world-class innovator.

AI Research Scientist Data Scientist

Big Data Engineer Senior Data Scientist

Machine Learning Research Scientist NLP Data Scientist

Career Opportunities in Data Science

AI Research Scientist
Associate, Investment Science
Big Data Engineer
Data Engineer
Data Scientist

Machine Learning Research Scientist
Senior Data Scientist
Research Data Scientist
NLP Data Scientist
Manager – Machine Learning

Program Requirements

Students must successfully complete six graduate level courses (totalling 3.0 Full Course Equivalents (FCEs)) as follows:
- One course (0.5 FCE) chosen from the Department of Statistical Sciences course schedule. These must be STA-2000 level courses or higher. The course selection may also include a maximum of two courses (0.5 FCE) chosen from the STA-4500 level of six-week modular courses (0.25 FCE each)
- One course (0.5 FCE) chosen from the four approved Statistical Science courses. STA2101H Methods of Applied Statistics I, STA2102H Computational Techniques in Statistics, STA2311H Advanced Computational Methods for Statistics I, STA2312H Advanced Computational Methods for Statistics II
- Two courses (1.0 FCEs) chosen from the Department of Computer Science’s (CSC designator) course schedule.
- Two required courses (1.0 FCEs): Communication for Computer Scientists (CSC 2701H) and Technical Entrepreneurship (CSC 2702H).
An eight-month industrial internship, CSC 2703H (3.5 FCEs). The internship is coordinated by the department and evaluated on a pass/fail basis. ‘Pass’ grades are awarded based on evaluations received from the industry/academic supervisors of the internship project and submission of an appropriately written final report, documenting the applied research internship.