Data Science and Analytics: Current Students

Structure

If you are enrolled in our 3-credential laddered track program, be sure you are familiar with the structure of the program and the requirements of each credential. 

Laddering illustration

Important Deadlines

As our Graduate Professional Program’s courses are taught according to a non-standard schedule , they have different drop, add and withdrawal deadlines. Please refer to the Student Centre for deadlines specific to courses with a non-standard schedule. 

Please ensure you are familiar with the drop deadlines for your classes. For non-standard courses, the add/swap deadlines are the same as the drop deadlines. 

When a class is dropped before its drop deadline, the course will not appear on your academic transcript and charges for the course will not be applied. 

When a class is removed after its drop deadline but before its withdrawal deadline, a ‘W’ will be placed on your academic transcript and charges will still apply.

Deadlines are found on the Home Page of your Student Centre as part of the Enrolled Courses table. 

Laddering illustration

Required Courses

Upon completing the certificate's four courses, students can advance to the diploma program with one of the following specializations:

  1. Data Science Specialization

    Data Science 605 | Actionable Visualization and Analytics

    Data Science 606 | Statistical Methods in Data Science

    Data Science 607 | Statistical and Machine Learning

    Data Science 608 | Developing Big Data Applications

  2. Financial and Energy Markets Data Modelling Specialization

    Data Science 606 | Statistical Methods in Data Science

    Data Science 607 | Statistical Machine Learning

    Data Science 609 | Modelling of Financial and Energy Markets Data 

    Data Science 610 | Advanced Modelling of Financial and Energy Markets Data 

  3. Business Analytics Specialization

    Data Science 611 | Predictive Analytics

    Data Science 612 | Decision Analytics

    Data Science 613 | Introductory Data Analytics

    Data Science 614 | Advanced Data Analytics

  4. Health Data Science and Biostatistics Specialization

    Data Science 621 | Advanced Statistical Modelling

    Data Science 622 | Machine Learning for Health Data Science

    Data Science 623 | Big Data in Health

    Data Science 624 | Advanced Exploration and Visualization in Health

All Master’s students must complete:  

Data Science 691 - Integrated Topics in Data Science and Analytics

AND

Data Science 693 - Professional Internship in Data Science and Analytics

OR

Data Science 695 - Research Capstone in Data Science and Analytics 

 

Internship, Research or Capstone: What to Expect

You’ll choose between:

  • A capstone project-based experience, or
  • A competitive internship opportunity, or
  • Research with a faculty member.

You are guaranteed an opportunity to apply your knowledge, and we have an array of flexible options that will allow you to practice your new skills. Think of this as your chance to apply what you’ve learned and demonstrate your value in the marketplace—with our support behind you.

Internships are not provided or sourced by the University. They are competitive and student-secured, just like real-world job searches.

Our role is to prepare you for job search success through training and support with:

  • Job search strategies
  • Employer connections
  • Interview preparation
  • Application guidance

Course Registration Guides

Please refer to Course Registration Guides for instructions on managing course enrollment in your Student Centre. 

View our Contacts page