Learn to analyze data and statistics, forecast predictions, and execute real-world, predictive analysis projects (including using SAS) to provide evidence-based decision-making.

This program offers a focused grounding in 21st century applied statistical and analytical skills in the most up-to-date techniques in statistical analysis that are sought after in today's workplace. It is open to anyone who is interested in a professional career in business, industry, government, or research.

No previous background is required.

This is an Open Admissions program to help you advance or change your career. Those who successfully complete this three-course program are eligible to earn a Professional Development Award from The G. Raymond Chang School of Continuing Education.

What Will You Learn? 

Learn how to: 

  • Utilize applied and theoretical statistics for predictive analytics projects using SAS, SQL, R and Python.
  • Execute up-to-date techniques in statistical and predictive querying and analyses of complex data, techniques at the centre of a technical skill set that is sought after in almost any field and across all sectors – private, public and non-profit.

This short course series is an excellent complement to the skills you may already possess as a professional. 

Who Should Enrol?

This program is designed for those who are seeking the knowledge and skills relevant to work, and advance their careers in the field of predictive analytics and data science.

Who Teaches the Courses?

Our instructors are selected through a highly competitive process and are expert practitioners in industry.

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Industry and Careers 

For those aspiring to be or already working as:

  • Financial Analysts
  • Data Analysts 
  • Applied Statisticians

Recommended Course Sequence

Students may only select one of CMTH 304 or CMTH 380.

Option 1:

Term 1

CIND 123

AND

CMTH 304 OR CMTH 380

Term 2

CMTH 404

Option 2:

Term 1

CIND 123 AND CQMS 102

Term 2

CQMS 202

Course Series Requirements

The professional development award may be achieved in one of the following ways:

  • Successful completion of courses in Option 1 (CIND 123, (CMTH 304 or CMTH 380), and CMTH 404)

OR

  • Successful completion of courses in Option 2 (CIND 123, CQMS 102, and CQMS 202)

Note: Course selections may not be combined from both groups.

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Related Certificates

The courses from this program may be applied to the Certificate in Data Analytics, Big Data, and Predictive Analytics and the Certificate in Business Decision Analysis.

Contact Us

Questions? Contact Anne-Marie Brinsmead, Program Director.


Email:  a2brinsm@ryerson.ca

Additional Details

Courses

The professional development award may be achieved completing courses in either this Option or Option 2. You may only select one of CMTH 304 or CMTH 380.

The professional development award may be achieved completing courses in either this Option or Option 1.