Toronto Metropolitan University

Canada
5 Scholarships 74 Programs 4 Degree levels
Masters

Data Science and Analytics

DegreeMasters
FieldMSc Data Science & Analytics
Duration1 year
Tuition28044.00

Overview

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.

About this programme

Overview

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.

What you'll study

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:

  • 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

Additional applied topics may cover:

  • Advanced Data Visualization
  • NLP (Text Mining)
  • Social Media Analytics

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.

Entry requirements

  • A completed four-year undergraduate degree (or equivalent) from an accredited institution in engineering, science, business, economics, or a related field.
  • A minimum GPA of 3.00/4.33 (B) in the final two years of study.
  • Relevant academic background in quantitative methods and computing or data-related coursework is essential.

Career prospects

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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Programme details are indicative and may change — always verify current information with the official university website before applying.