Study Big Data Analytics part-time
Ontario College Graduate Certificate
Tell the story behind the information! This major growth area for applied research has been called the 鈥渟exiest job of the 21st century.鈥
Please refer to the Big Data Analytics program page for all of the main details, including admissions requirements.
Program information
Program description
Big Data allows users to visualize past, present, and future patterns by linking and聽presenting information in meaningful ways. Data Analytics offers deeper insight into the聽meaning of data sets by telling the story behind the information. This enables聽stakeholders to make more informed decisions, predict trends and better understand聽the needs and sentiments of customers. This program provides students with a unique聽blend of theoretical knowledge and applied skills. Students learn how to collect, curate,聽manipulate, encode, and store data sets so they can be analyzed and mined in such a聽way that they can be reused and repurposed to solve present challenges as well as those that do not yet exist.
Review program admission requirements and information about career opportunities.
The program helped me realize that despite being almost 50 years old, my skills were still very relevant and learning the tools used in the industry today and applying them to this new architecture was very easy.鈥Patrick Whissel, program graduate
Course information
Course offerings and equivalents
Currently available courses are linked below.
How to apply to the part-time Big Data Analytics graduate certificate program
Apply online through ontariocolleges.ca
- Make sure you meet program admission requirements
- Complete an online application using the using the part-time program code
- When registration opens, 聽select the course(s) from the program webpage course listing and follow the prompt steps to register and pay
Need help with your application?
Watch a video tutorial
- 聽to learn how to apply with the online application
Contact the Office of the Registrar
Frequently asked questions (FAQs)
Finance and fees
As a part-time student, you may be eligible for OSAP funding, depending on the number of courses you take per semester.
For more information about OSAP, including eligibility requirements and how to apply, visit the OSAP/financial aid webpage.
As a part-time student, you can take one to three courses per semester, paying on a course-by-course basis.
For course fee information, select a course from the course information section of this page.
Online learning
These courses are offered through OntarioLearn. Visit the OntarioLearn webpage to learn more.
OntarioLearn courses are set up as equivalents to the 小优短视频 courses. You can choose to take the ODE courses or the 小优短视频 courses.
When a 小优短视频 course isn鈥檛 available to be delivered online, we鈥檝e listed an OntarioLearn course in the delivery schedule. The majority of the 小优短视频 courses have ODE equivalents set up. You can choose to take either course.
Credit for Prior Learning (CPL)
Previous postsecondary education: If you鈥檝e completed courses, or some or all of a program, at another accredited postsecondary institution, you may be able to transfer all or some of your courses into a related program at 小优短视频.
Relevant work or life experience: If you have relevant work and/or life experience that relates to your program(s) of interest at 小优短视频, Prior Learning Assessment and Recognition (PLAR) is an academic credit option.
To learn more about transfer credit and PLAR, visit the Credit for Prior Learning webpage.
Do you have questions about studying Big Data Analytics part-time?
Questions about the program?
Tammy Burke-Marson, Programming Support Assistant