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.

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
Health Data Science and Biostatistics

Outcomes

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

A diploma in Data Science and Analytics is usually considered a final degree.

Course-based program

Eight courses

Learn more about program requirements in the Academic Calendar

Classroom delivery

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.

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 four year baccalaureate degree, or equivalent from a recognized institution. The successful completion of the following undergraduate courses: computer programming or computer science, statistics or equivalent, and calculus or linear algebra.

Work samples

None

Documents

Transcripts

Reference letters

None

Test scores

None

Qualifications

In exceptional circumstances, individuals who do not meet formal academic requirements but who have significant life achievement may be considered for admission to this program. Such candidates may also be asked for an in-person interview with the Program Director. Please contact the program for details.

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 ibt) score of 86 with no section less than 20 (Internet-based).
International English Language Testing System (IELTS) score of 6.5 with no section less than 6.0 (Academic version).
Pearson Test of English (PTE) score of 59, or higher (academic version).
Canadian Academic English Language test (CAEL) score of 70 with no section less than 60.
Academic Communication Certificate (ACC) score of B+ in each course.

Deadlines

For admission on September 1:

Canadians and permanent residents: application deadline: April 15
International students: application deadline: February 1

Applicants considering applying after the deadline will be considered on a case-by-case basis.

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