Data Science and Analytics - Diploma

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

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 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.

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.