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Course Series in
Applied Analytics and Statistics for 21st Century 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. At the end of the program, students are proficient in analyzing, forecasting, and carrying out real-world, applied statistical analysis projects (including using SAS) and in providing evidence-based recommendations for sound decision-making.

For more information, contact Marcos Escobar, Academic Coordinator, at escobar@ryerson.ca.

Those who successfully complete this course series are eligible to earn a Professional Development Award from The G. Raymond Chang School of Continuing Education.

Required Courses

Students must select either ((CMTH 304 or CMTH 380) and CMTH 404) OR (CQMS 102 and CQMS 202). Course selections may not be combined from both groups. The professional development award may be achieved in one of the following ways:

Option 1:

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

CIND 123   Industrial Engineering:  Data Analytics: Basic Methods
CMTH 304   Mathematics:  Probability and Statistics I
CMTH 380   Mathematics:  Probability and Statistics I
CMTH 404   Mathematics:  Probability and Statistics II


OR

Option 2:

CIND 123   Industrial Engineering:  Data Analytics: Basic Methods
CQMS 102   Quantitative Methods:  Business Statistics I
CQMS 202   Quantitative Methods:  Business Statistics II


Note to course series students
CQMS 102 and CQMS 202 added.

Once you have successfully completed the courses, email The Chang School at ce@ryerson.ca with your name, student number, and the course series you have completed. Upon verification, you will receive your professional development award.