Master of Science in Management Analytics

ID:WLU010079
Level:Master's Degree
Duration:
Intake:

Fees (CAD)

* Books, Student services fees

Estimated Total/program:

Apply

Accept letter

100

Visa

Fly

Start
now Start now

Admission Requirements

Entry Requirements

Four-year undergraduate degree in business, economics, or a quantitative discipline (e.g. mathematics, statistics, actuarial sciences, physics, chemistry, life sciences, engineering sciences, etc.).
Minimum overall GPA of B+ in final two years.
One course in both calculus and statistics with a minimum B+.
Official transcripts.
One Writing Sample (2-3 pages) – Sample can be an academic or professional piece from any major or concentration, but must be written entirely by the applicant.
Two letters of reference – at least one academic.
An in-person or phone interview may also be required.
Applicants with experience: Alternative admission requirements are available to prospective students with extensive and relevant work experience.

English Requirements

Evidence of proficiency in both written and oral English is required for applicants whose native language is not English; minimum TOEFL of 100 or IELTS of 7.

Check now

If Eligible

Course Information

Make smarter business decisions by understanding, analyzing and leveraging your company’s data with our 12-month professional Master of Science (MSc) in Management Analytics on our Waterloo campus.

Launch your career as a manager who will design, lead and implement data-driven projects. With the rise of Internet of Things, social media and e-commerce, there is more data available to businesses than ever before. With this master’s degree, you’ll understand the use and value of data and embed this knowledge in strategies that will propel your company to be more competitive.

Businesses need skilled workers who can adapt, analyze and use data to advance strategy. If you’re already good at math and statistics, this degree will add the practical management-analytics skills you’ll need to advance your career.

Master the knowledge and skills required in the field through case analysis, in-class projects and a two-term project. Upon graduation, you will be able to:

Design and move data analytics projects from conception to execution
Identify and evaluate opportunities and risks associated with data analytics projects
Use cutting edge tools from machine learning and statistics to execute solutions

For more information. Click here

PROGRAM STRUCTURE

Fall Term

Business analytics fundamentals courses: