13 Technology MSc Degree Programs in Canada

The Master of Science in Information Technology is designed to provide students with theoretical and practical training as well as professional preparedness for IT careers. It includes training in key areas of Information technology in programming, networking, data management, and infrastructure.

Canadian Post Graduate Work Permit aligned program Gartner projects that over 75% of enterprises started using Artificial Intelligence (AI) by the end of 2024, driving a 5x increase in streaming data and analytics infrastructures. With these staggering levels of growth, there is a huge demand for data-savvy professionals with the ability to analyze, communicate, and innovate in a data-centric economy. Simultaneously, the demand for conventional computing expertise (computer programming, product development, quality engineering, etc.) also continues to rise. Saint Mary’s Master of Science in Computing & Data Analytics (MSc CDA) is a graduate-level, 16-month professional program that focuses on using Generative AI (GenAI) to generate code and construct Business and IT solutions. Delivered across an interdisciplinary, industry responsive curriculum, the MSc CDA program has an impressive track-record for post-graduate employment.

The amount of data in our world has exploded. And with it, so has demand for trained scientists and analysts able to make data-driven decisions. Data scientists use mathematical, computational, statistical and algorithmic techniques to solve analytically complex data problems.

As technology development moves at breakneck speeds, you need to be adept at choosing, using, and applying technology in your elementary and secondary school curricula. Our program gives you the knowledge and hands-on experience to become a master teacher, school or district instructional technology leader, coach, professional developer, or instructional designer.

We offer a thesis-based as well as a course-based Master of Science (MSc). The course-based Master’s offers a solid background for students aiming at a professional career. The academic focus of the thesis-based Master’s is excellence in research and it aims to provide a starting point to students oriented toward PhD studies but also to professionally inclined candidates. Many of our thesis-based graduates have pursued PhD studies, but several have gone into successful professional careers right after completing their degree.

Whether you are beginning a new career or looking to extend your influence and earning power as a technology trainer, we’ll prepare you to anticipate and meet the demands of rapid organizational and technological change within the global marketplace. We’ll also make sure you have a command of key instructional and technological competencies as identified by the American Society for Training and Development.

Trent is one of the first universities in Canada to work to fill the training gap for professionals in data science. You will be uniquely prepared with the tools and techniques you require to work with and analyze today’s increasingly complex data sets in all areas of the sciences, as well as the business world. This professional program can be completed in 16 months and emphasizes practical skills in visualization, data mining, cloud-based approaches and parallel programming skills. Prepare for careers including Chief Data Officer, Data Scientist, Data Solutions Architect, Business Manager and Business Analyst.

You will need to provide your unofficial documents: final transcript, proof of graduation, CV, Statement of Purpose, proof of English language, and the Computer Science Background Form. Computer Science combines the intellectual challenge of a young discipline with the excitement of an innovative and rapidly expanding technology.

The Master of Applied Science (MASc) and Master of Engineering (MEng) programs in Electrical and Computer Engineering allow a student to study in all major areas associated with electrical, computer and software systems engineering. These areas include electronics, intelligent systems, communications, control, biomedical, power electronics, power generation, software engineering, mobile systems and embedded software systems. These disciplines are expected to be in high demand by employers.

Its aim is to prepare students to develop expertise with sufficient breadth and depth in the areas of software engineering, cybersecurity, software systems, data analytics, artificial intelligence and IT. This program is based on current provincial and regional organizations and institutions’ IT and computer science needs and requirements, including requirements for the expertise of highly qualified computer scientists.

The master's degree in computer science helps to develop advanced skills in cutting-edge computer science sectors. In particular, the program deepens its knowledge in order to propose solutions to complex specific problems in a constantly evolving field.

Mathematical, Computer, Physical and Molecular Sciences (MCPMS) is one stream of the Master of Science degree in the Faculty of Science and Engineering. Thesis and project options are available. The thesis option has, as a substantial component, the completion of an original research program, culminating in the preparation of a thesis, and prepares graduates for careers in research or for further academic study. The project option provides training across disciplines particularly suitable to individuals with more defined career objectives, as well as provides a mechanism for non-traditional students (e.g., working students, teachers, and professionals) to upgrade their skills.

In the Master of Science in Information, Network, and Computer Security, you will critically evaluate various technical/architectural solutions to limit risk, mitigate the effects of hostile action, and recover from attacks; design, implement, and maintain software tools to support network security across multiple operating systems; oversee the information lifecycle of an organization, including planning, acquisition, and implementation of secure infrastructures; study algorithm concepts, computer forensics, risk management and legal issues, and intrusion detection and hacker exploits