The M.Sc. in Data Science and Analytics at Toronto Metropolitan University builds advanced skills in machine learning, data mining, and analytics for real-world decision-making. You’ll learn through a mix of technical coursework and applied projects using large-scale datasets.
The Master of Science (M.Sc.) in Data Science and Analytics at Toronto Metropolitan University equips students with advanced expertise in machine learning, data mining, and analytics, all vital for informed decision-making in various sectors. The program combines rigorous technical coursework with hands-on projects utilizing large-scale datasets, fostering a comprehensive understanding of data science applications.
The curriculum is designed around the foundational elements of advanced analytics and machine learning, supplemented by courses that delve into big data tools, decision-making processes, and applied data science practices.
Core courses may include:
Additional applied topics may cover:
Capstone project:
Students often engage in an applied project or capstone assessment that showcases their proficiency in applying analytics methods to real-world datasets or challenges. Specific requirements and formats should be confirmed with the university.
Graduates from the M.Sc. in Data Science and Analytics are well-positioned for careers in various sectors, including technology, finance, healthcare, and more. They can pursue roles such as data scientists, analysts, and machine learning engineers, contributing to data-driven decision-making processes that enhance organizational effectiveness and innovation.
Upon completion of the program, graduates may also be eligible to apply for a post-graduation work permit (PGWP) in Canada, allowing them to gain valuable work experience in the field.
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