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Program Overview
The Data Analytics one-year graduate certificate prepares students to visualize past, present, and future patterns by linking and presenting information in meaningful ways. The area of data analytics offers deeper insights and meaning of data sets for users by telling the story behind the information. This type of detailed and defined information enables graduates to effectively predict trends, understand the needs of customers, as well as make more informed business decisions.
Career Opportunities
Graduates of the program are well-equipped for roles across various public and private sectors. Positions they may pursue include Junior Data Analyst, Business Intelligence Assistant, Reporting Analyst, Marketing Data Assistant, and Operations Support Analyst. These roles leverage their skills in data handling, statistical analysis, data visualization, and introductory programming. Graduates may also explore opportunities in fields such as digital marketing, logistics, and finance. Those with an entrepreneurial mindset may pursue self-employment options, such as becoming a data analytics consultant or assisting organizations in managing and interpreting their data.
Admission Requirements
Ontario College Diploma, Ontario College Advanced Diploma, Degree, or equivalent with a concentration in Business, Computer Science, Mathematics or Engineering, or combination of work-related experience and post-secondary experience.
International Students: See Admission Policies for details.
Courses
Please scroll to the bottom of the list to review the Pre/Co-Requisites.
The curriculum below is for incoming students:
Smart Start Information
Program Vocational Learning Outcomes
Data Analytics (One Year Ontario College Graduate Certificate) (MTCU Code 70717)
The graduate has reliably demonstrated the ability to:
- Analyze, organize, and manipulate data to support problem solving, decision-making, and opportunity identification.
- Develop statistical and predictive models that use operational and marketing data to identify patterns and provide insights to stakeholders.
- Assess and apply business intelligence and Big Data tools appropriate to the decisions, problems, data movement, and system workloads.
- Prepare and communicate complex materials verbally, in writing, and digitally for a variety of audiences, purposes, and levels of detail.
- Analyze and interpret data as it relates to various aspects of an organization’s readiness to change.
- Conduct data analysis and research in a respectful and ethical manner that protects privacy and maintains dignity to all involved.
- Deliver data-oriented projects using data science, analytics, and project management principles, tools, and techniques to ensure clients’ needs are achieved.
