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Course Series in
Financial Predictive Data Analytics

This program is intended to provide professionals with advanced mathematical knowledge to conduct financial predictive data analytics including how to utilize big data analytics methods to analyze financial data. Participants will attain a mastery of financial mathematics, especially in probability, in statistics, and in numerical analysis, together with an understanding of the highly complex analytics of financial markets and world economies.

For more information, contact Chul Kim, Academic Coordinator, at chulkim@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 Course

CMTH 501   Mathematics:  Numerical Analysis I


Electives (select two)

Students may only select one of CIND 123, CMTH 304, or CMTH 380.
Students may only select one of CMTH 404 or CMTH 480.

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
CMTH 480   Mathematics:  Probability and Statistics II


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.