Data Analytics Fast Track

Online Info Session for Data Analytics Fast Track (Day or Evening) and New STEM Course Series

Join us for a special information session to learn more about offerings in this certificate on Friday, September 8, 2017. Held online, this event will provide details on the unique offerings of the Data Analytics Fast Track course as well as our new course series programs. Learn more and register.

The Data Analytics Fast Track (CKME 999) offers you the unique opportunity to earn a Certificate in Data Analytics, Big Data, and Predictive Analytics in an intensive, 15-week, fast-track program in the Spring/Summer term.

To enrol in individual courses that are part of the Data Analytics Fast Track (as opposed to the entire certificate program), consult the individual course links listed below in ‘Certificate and Course Information’ for scheduling options.

Who should enrol in CKME 999?

  • Current or aspiring professionals who need to use data analytics, big data, and predictive analytics to optimize performance at a variety of levels in a wide range of sectors: private enterprise, government, non-profit industry, and high technology sectors
  • Individuals who are employed in a related field such as data warehousing, data management, IT, etc., and need to acquire the necessary credentials for career promotion or other professional enrichment, including competencies crucial to big data analytics
  • Those with a desire to fill positions such as:
    • Web Analytics specialist
    • Data Analyst (in various industry domains)
    • Data Analytics Project Lead
    • Data Science Specialist
    • Data Warehouse Specialist
    • Statistical Modeling Analyst
    • Data Analytics Modeling Analyst
    • Predictive Analytics Modeling Analyst

Certificate and Course Information

The Data Analytics Fast Track includes 5 of the 6 required courses in the Certificate in Data Analytics, Big Data, and Predictive Analytics. The sixth course, Data Analytics: Capstone Course (CKME 136), is completed online in a subsequent academic term of the student's choosing.

  • CIND 110   Industrial Engineering: Data Organization for Data Analysts
  • CIND 119   Industrial Engineering: Introduction to Big Data
  • CIND 123   Industrial Engineering: Data Analytics: Basic Methods
  • CIND 719   Industrial Engineering: Big Data Analytics Tools
  • CKME 136   Mechanical Engineering: Data Analytics: Capstone Course
  • CMTH 642   Mathematics: Data Analytics: Advanced Methods

Visit CKME 999 for Data Analytics Fast Track dates and fee.

Useful Links

The following links may assist you in planning your spring/summer studies at The Chang School:

For More Information

For specific program and course information, contact Anne-Marie Brinsmead, Program Director for Engineering, Architecture, and Science, at a2brinsm@ryerson.ca. You may also speak to program representatives at one of The Chang School’s Open House sessions.

For general information or to register, contact The Chang School.
Email: ce@ryerson.ca
Phone: 416.979.5035