FAQ

1. What courses are offered in the Certificate in Data Analytics, Big Data, and Predictive Analytics, and what is the recommended order?

2. What are the certificate program fees?

3. Does the fee change if you are an international student?

4. Who is the target audience for this certificate?

5. Are there any company affiliations or career placement assistance available as part of this certificate program?

6. Is this certificate completed online or in class?

7. How long will the certificate take to complete?

8. What is the schedule of course offerings for 2016–2017?

9. Can I take more than one course in the evening and still hold my full-time job?

10. Can I substitute one of the courses in this certificate for a different course offered at The Chang School?

11. What prerequisites or professional experiences are recommended for this certificate?

12. How do I register for this certificate?

13. What are the Fall 2016, Winter 2017, and Spring/Summer 2017 term course enrolment dates?

14. To succeed in this certificate, do I need to complete the courses in a specific order?

15. Does this certificate have professional recognition?

16. Are any of the courses you offer available for substitution or transfer credit?

17. Am I able to get financial aid?

18. What programming language is used to teach this certificate?

19. What technical skills are taught in this certificate?

20. Are there any specific PC requirements needed to complete the course work?

21. What is the process for installing SAS software on your computer? Is there a cost?

22. What laptop or tower PC computer configuration should I have to complete the capstone course?

23. Which textbooks must I purchase for this certificate?

­1. What courses are offered in the Certificate in Data Analytics, Big Data, and Predictive Analytics, and what is the recommended order?
This certificate consists of six courses, which can be completed as follows:

Term One

The three courses above may be taken concurrently in any combination, in the same term or terms. They are each offered on a different night of the week every term. You are encouraged to take CIND 123 and CIND 119 concurrently.

Term Two

(And CIND 110 if you did not take it in Term One.)

CMTH 642 must be taken AFTER CIND 123, but it may be taken concurrently with CIND 719. If you choose not to take CMTH 642 and CIND 719 concurrently, CMTH 642 must be taken BEFORE CIND 719.

To obtain departmental consent for CMTH 642 and CIND 719, email a2brinsm@ryerson.ca directly, indicating what term, what night(s) of the week you wish to take each course and your student number.

Term Three

The capstone course may only be taken after the other five courses have been completed.

­2. What are the certificate program fees?
Registration for the certificate is free. Individual course fees may be found by clicking on the course code links above.

­3. Does the fee change if you are an international student?
The international fee rate for continuing education students is two and a half (2.5) times the regular student tuition fee for degree credit courses only. The degree credit courses in this certificate are CIND 123, CIND 119, CIND 110, CIND 719, and CMTH 642.

­4. Who is the target audience for this certificate?
This certificate is intended for current or aspiring adult professionals who have an interest in the subject for career advancement.

­5. Are there any company affiliations or career placement assistance available as part of this certificate program?
There are no direct corporate associations or career placements available. However, related companies do contact The Chang School to ask for the contact information of our certificate graduates.

­6. Is this certificate completed online or in class?
For the 2017–2018 academic year, the courses in this certificate can be completed in the classroom format. Due to the computer lab activities, the technology is not yet sufficiently advanced to optimally place the program’s courses in a fully online format.

­7. How long will the certificate take to complete?
You may choose how quickly you want to complete all six required courses. All courses are offered each term. You may take two to three courses every term and the capstone course in a fourth term, to complete the certificate in four academic terms (Fall, Winter, Spring/Summer, and Fall again).
NOTE: All courses run every term. Courses typically fill six weeks before the start of term, so enrol early to avoid disappointment.

­8. What is the schedule of course offerings for 2017–2018?
Click on each individual course code link from the Certificate in Data Analytics, Big Data, and Predictive Analytics page to find out when each course is offered.

­9. Can I take more than one course in the evening and still hold my full-time job?
Yes. It is possible to take more than one evening course and still hold your full-time job. If you are only able to take two courses in the first couple of terms, those courses should be CIND 123 and CIND 119. In the event that you are unable to take more than one course, take CIND 123.

­10. Can I substitute one of the courses in this certificate for a different course offered at The Chang School?
No. There are no course substitutions allowed in this certificate program.

­11. What prerequisites or professional experiences are recommended for this certificate?
Students are encouraged to contact Anne-Marie Brinsmead, Program Director, Engineering, Architecture, and Science, at a2brinsmead@ryerson.ca for further clarification about certificate program requirements.

­12. How do I register for this certificate?
Step 1: If you are a new student, request a Ryerson Student Number.
Step 2: Activate your Ryerson online identity.
Step 3: Register in the certificate via the link in your RAMSS Student Centre. Visit Registration in a Certificate Program for more information.
Step 4: Enrol in all desired courses. Visit the Dates for Enrolment section of Enrolment.

­13. What are the Fall 2017, Winter 2018, and Spring/Summer 2018 term course enrolment dates?
Please refer to Enrolment for enrolment open and close dates.

­14. To succeed in this certificate, do I need to complete the courses in a specific order?
The first four courses (CIND 123, CIND 119, CIND 110 and CIND 719) can be taken concurrently. The last two courses (CMTH 642 and CKME 136) must be taken sequentially (CMTH 642 in one term and the CKME 136 in the last term). CIND 123 is a prerequisite for CMTH 642, and must be taken prior to that course.

­15. Does this certificate have professional recognition?
Yes. The Chang School is recognized as an educational institution provider by INFORMS. The Data Analytics, Big Data, and Predictive Analytics Certificate fulfils the academic requirement that allows individuals to take the INFORMS CAP® (Certified Analytics Professional®) exam, and directly prepares participants for this exam. INFORMS is the leading association for professionals in the fields of analytics, management science, and operations research. INFORMS serves the scientific and professional needs of analytics professionals and operations researchers including educators, scientists, students, managers, analysts, and consultants. Visit the INFORMS website for more information.

INFORMS Professional Development Units (PDUs)
One (1) Data Analytics, Big Data, and Predictive Analytics Certificate course is equal to 39 INFORMS CAP® Professional Development Units (PDUs). CAP® certified professionals are required to earn 30 PDUs every three calendar years.

­16. Are any of the courses you offer available for substitution or transfer credit?
No. All courses in this certificate must be taken at The Chang School and are not eligible for course substitution or transfer credit application.

­17. Am I able to get financial aid?
The G. Raymond Chang School of Continuing Education and the Continuing Education Students’ Association of Ryerson (CESAR) offer a wide range of awards, bursaries, and scholarships for students who are eligible. Visit Awards and Financial Aid and CESAR for more information. This certificate does not qualify for OSAP.

­18. What programming language is used to teach this certificate?
The certificate is taught using R-language programming.

­19. What technical skills are taught in this certificate? Technical proficiencies taught in this certificate include the following:

  • Analytics: R, Hadoop, Spark (Learning), Hive, Pig, SPSS, IBM Watson, SAS, UCINET, ORA (data visualization and network analysis), WEKA, MS-Excel (Advanced)
  • Database systems: SQLite, MongoDB, MS-Access (Intermediate)
  • Language: R, SQL, Regular Expression, HTML, CSS, SML, Python (Learning)
  • O/S: Windows, Linux Ubuntu
  • Bibliographic Management: RefWorks

­20. Are there any specific PC requirements needed to complete the course work?
No. We understand that not everyone has a laptop to bring to class; consequently, we have lab sessions for each course where you can use the university’s facilities. However, there will be assignments that you will need to work on during your own time, either by using the university’s computers or your own. All of the software used will be open source, so you will be able to download it from the Internet.

­21. What is the process for installing SAS software on your computer? Is there a cost?
SAS is a free virtual application. Visit Ryerson’s Computing and Communications Services (CCS) website to download it.

­22. What laptop or tower PC computer configuration should I have to complete the capstone course?
You will need a PC laptop or PC computer (no MAC or Apple products) with:

  • Operating system: Windows 10; 32-bit or 64-bit
  • Processor: Intel®Core™i5-3230M CPU @ 2.60GHz
  • Installed memory (RAM): 16.0 GB (15.9 usable) (NOTE: You need 16.0GB to run Hadoop.)

­23. Which textbooks must I purchase for this certificate?

CIND 123 and CMTH 642
Both courses use the same book – 1st part in CKME 132 and 2nd part in CMTH 642.
  • Required Textbooks:
    • Introduction to Probability and Statistics, Third Canadian Edition, by W. Mendenhall, R. Beaver, B. Beaver, and S. Ahmed. Publisher: Nelson.
    • Introductory Statistics with R, by P. Dalgaard. Publisher: Springer.

CIND 110 Data Access and Management

  • Required Reading: Fundamentals of Database Systems. R. Elmasri, S.B. Navathe, 2010, 6th Edition, Pearson.

CIND 119 Introduction to Big Data Analytics

  • Required Reading: Bill Franks (2012) Taming the Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series) 337 pages ISBN: 1118208781