Data Science and Analytics Toronto Metropolitan University

Overview

The Data Science and Analytics M.Sc. at Toronto Metropolitan University provides students with a sophisticated understanding of interdisciplinary technical skills and applied knowledge. This programme is designed to transform graduates into highly qualified data scientists capable of navigating complex challenges in government, industry, and research sectors. Students engage with real-world datasets through a combination of lecture-based instruction and hands-on laboratory environments.

Why Data Science and Analytics at Toronto Metropolitan University?

Toronto Metropolitan University offers a robust research environment through its Big Data Initiative, which includes the Data Science Laboratory and the RC4 High Performance Computing Facility. Students benefit from the university's urban innovation focus and may access the DMZ, a world-leading incubator, to launch startups or collaborate with established companies. The programme maintains strong links with diverse industry and government partners, ensuring the curriculum remains aligned with current professional demands. Additionally, international exchange opportunities and partnerships are available to enhance the global perspective of the learning experience.

Tuition Fee Breakdown

• International fee: CAD 28044 per year
• National fee: CAD 10732 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Advanced Data Visualization
• Bayesian Statistics and Machine Learning
• Data Mining and Prescriptive Analysis
• Designs of Algorithms and Programming for Massive Data
• Interactive Learning in Decision Processes
• Machine Learning
• Management of Big Data and Big Data Tools
• NLP (Text Mining)
• Social Media Analytics

Careers with Data Science and Analytics

Graduates of this programme are equipped for specialised roles as data scientists and analysts across various sectors. Alumni have successfully secured positions in prestigious organisations, such as the Centre for Addiction and Mental Health. The programme focuses on developing core competencies in machine learning, operations research, and programming, which are highly sought after by employers in the modern data-driven economy. Students also have access to graduate career advising and professional development services to support their transition into the workforce.