Balancing Theory and Practice

Our philosophy is to create a “dream it, build it” environment where you apply theory to real-world projects. Employers note that people with traditional master's degrees in computing or computer science have a high level of technical knowledge but low levels of practical knowledge or experience. We want to equip you with both.

Through the use of case studies and project-based courses, our program will give you practical skills in ways theory-focused degrees cannot.

Each course in the program is designed to improve your overall competencies, mindset, and practical skillset so you can utilize and connect a variety of development tools, solve problems and innovate.

Degree Requirements

All students in the program must take CP600: Practical Algorithm Design. In this course, you gain an essential background to be able to move towards an area of specialization through additional coursework.

Another required course is CP601: Seminar on Technology Entrepreneurship. The course involves taking a technology idea and finding a high-potential commercial opportunity, gathering resources such as talent and capital, figuring out how to sell and market the idea, and managing rapid growth. The course also involves bringing incorporating a new technology idea into an existing business.

You then choose six additional courses. Sample courses to choose from include:

• CP600: Practical Algorithm Design
• CP601: Seminar in Technology Entrepreneurship
• CP610: Data Analysis
• CP631: Advanced Parallel Programming
• CP640: Machine Learning
• CP669: iPhone Application Programming
• CP670: Android Application Programming
• CP685: Cyber Attack and Defense

• Start: Winter (January), Spring (May) and Fall (September)
• Format: Accelerated or Part-time
• Application deadline:
  • Winter intake: Nov. 15
  • Spring intake: March 15
  • Fall intake: July 15