Data Science and Analytics

Diploma

Course-based program

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The Diploma in Data Science and Analytics offers students the opportunity to advance their careers and gain skills for the new digital economy. Designed for working professionals, the curriculum emphasizes collaboration, experiential learning and team building to solve data-driven challenges.

Students will learn interdisciplinary data collection and examination techniques, data visualization, statistical and computational analytics, presentation skills, and how to apply the fundamental core concepts, and tools of data thinking to their work in any industry or sector.

Students who complete the Graduate Diploma in Data Science and Analytics may receive laddering credit for the 24 units of coursework completed in the diploma program if they are subsequently accepted to the Master of Data Science and Analytics within five years of beginning the first credential in the laddering process.

Completing this program

Courses: Students will take courses on data and visualization, statistical data analysis, statistical modelling with data, and big data management.
Specialization: Students will take four courses in their chosen specialization.

Specializations

Business Analytics
Data Science
Financial and Energy Markets Data Modelling
Health Data Science and Biostatistics

Outcomes

Technology sector, business start-ups, computer science research, business analysis, human resources, healthcare, marketing.

Laddered Pathway

Students who successfully complete the Graduate Certificate in Fundamental Data Science and Analytics will be eligible to apply for admission to the Graduate Diploma in Data Science and Analytics, and, if admitted, will receive laddering credit for the 12 units of coursework completed. Students who successfully complete the Graduate Certificate and the Graduate Diploma and who are subsequently accepted into the Master of Data Science and Analytics (MDSA), Laddered Pathway will be granted 24 units (12 units each for the Certificate and Diploma) of laddering credit.

There can be no more than five years between completing a credential in the laddered pathway and enrolling in the next credential.

Students completing the laddered pathway will receive a parchment for each credential earned in the pathway.

Course-based program

Eight courses

Learn more about program requirements in the Academic Calendar

Classroom delivery

In-person

Time commitment

Eight months, or four months for students laddering from the certificate program. Maximum completion time of three years.

Supervisor

No supervisor is required

Fees and funding

See the Graduate Calendar for information on fees and fee regulations, and for information on awards and financial assistance.

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GPA

A minimum of 3.0 GPA on a 4.0 point system, over the past two years of full-time study (a minimum of 10 full-course equivalents or 60 units) of the undergraduate degree.

Minimum education

A 4-year undergraduate degree from a recognized institution.

Successful completion of the following undergraduate courses, with at least a "B" grade or equivalent:

One course in computer programming
One course in statistics or equivalent, and
One course in either calculus or linear algebra or equivalent.

Work samples

None

Documents

All unofficial transcripts and degrees for all post-secondary education to assess prerequisites and a student's GPA. Please include Grade Scale from each institution as well.
Proof of Prerequisite Completion
GPA Calculation Worksheet

Reference letters

None

Test scores

None

English language proficiency (ELP)

An applicant whose primary language is not English may fulfill the English language proficiency requirement in one of the following ways:

Test of English as a Foreign Language (TOEFL iB T including TOEFL iBT Home Edition) minimum score of 86 (Internet-based, with no section less than 20).
International English Language Testing System (IELTS) score of 6.5 (with no section less than 6.0).
Cambridge C1 Advanced or Cambridge C2 Proficiency minimum score of 180.
Pearson Test of English (PTE) score of 59 or higher
Canadian Academic English Language test (CAEL) overall score of 70 (no section less than 60).
Academic Communication Certificate (ACC) minimum of B+ in each course.
Duolingo English Test obtaining a minimum score of 125 (with no sub-score below 105).

*Please contact your program of interest if you have any questions about ELP requirements.

Deadlines

Admission

Canadian/Permanent Residents: Domestic students must apply to the Fundamentals of Data Science and Analytics Certificate program as part of the laddered pathway. Please contact the program if you have any questions.
International: This program is not open for applications at this time. International students should apply directly to the Master of Data Science program. Please contact the program if you have any questions.

If you're not a Canadian or permanent resident, or if you have international credentials, make sure to learn about international requirements