MSc Data Science in Canada

Get advanced technical and practical skills in the collection, collation, curation and analysis of data

All businesses and organisations need data analysis to devise better plans of progression, and as a result, data scientists are in high demand across all sectors and industries.

A Master of Science in Data Science is an advanced academic program designed to equip students with the skills and knowledge necessary to excel in the rapidly evolving field of data science. This specialized degree is tailored to individuals who are passionate about extracting valuable insights and actionable information from large and complex datasets.

Students are encouraged to develop critical thinking skills, problem-solving abilities, and a strong ethical foundation. Given the increasing importance of data privacy, security, and responsible data usage, students are often exposed to the ethical considerations and legal implications associated with data collection and analysis.

Master's in Data Science Curriculum

A Master's in Data Science curriculum typically encompasses a multidisciplinary approach, drawing from the fields of computer science, statistics, mathematics, and domain-specific expertise. Students study topics such as data analysis, machine learning, data visualization, predictive modeling, and data-driven decision-making. They learn to work with various tools, programming languages, and technologies that are instrumental in handling and analyzing data effectively.

Many postgraduate data science programs emphasise practical experience and hands-on learning. Students often engage in real-world projects, collaborating with industry partners or academic researchers. These projects provide valuable opportunities to apply theoretical concepts in practical settings, helping students build a robust portfolio and gain a deep understanding of the challenges and complexities of working with diverse datasets.

• International fees: $20,000-$50,000 per year
• Entry requirements: Applicants must have a four-year undergraduate degree from a recognised university. English Language proficiency is required for taking admission.

MSc Data Science Modules 

The modules that students pursuing study in Canada vary between universities and specific programs, but the following are some of the key modules you may  study:

• Statistical Analysis and Modeling: Here, the focus is on statistical methods and techniques used in data analysis, including probability theory, hypothesis testing, regression analysis, and multivariate analysis.
• Data Visualization and Communication: This module explores the principles and tools used for effective data visualisation and communication. 
• Machine Learning: This module introduces the principles and algorithms of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
• Big Data Analytics: This module covers analysing and managing large and complex datasets. 
• Data Mining: This module focuses on extracting actionable insights from large datasets. 
• Natural Language Processing: This module explores techniques for processing and analysing human language data. 
• Time Series Analysis: This module covers the analysis and forecasting of time-dependent data. 
• Database Systems: This module introduces the principles and techniques for designing, querying, and managing databases. 
• Data Ethics and Privacy: This module examines ethical considerations and privacy issues related to data science and analytics.

Data Science Scholarships

Scholarships can provide financial support to help cover tuition fees and living expenses. The following are some of the notable scholarships and funding opportunities available to data scientists at Canadian institutions:

• Vanier Canada Graduate Scholarships: The Vanier Canada Graduate Scholarships program provides funding to international students who demonstrate outstanding academic achievement, research potential, and leadership qualities.
• Ontario Graduate Scholarship (OGS): The Ontario Graduate Scholarship is a merit-based scholarship available to students pursuing graduate studies in Ontario, including data science programs.
• Trudeau Foundation Scholarships: The Trudeau Foundation offers scholarships to outstanding doctoral students pursuing research in various fields, including social sciences and humanities.
• Mitacs Globalink Graduate Fellowship: Mitacs provides research internships and funding opportunities for international students pursuing graduate studies in Canada.
• University-specific Scholarships: Many Canadian universities offer scholarships specifically for international students pursuing data science programs.
• Government-Funded Scholarships: Some Canadian government agencies, such as the Natural Sciences and Engineering Research Council (NSERC) and the Social Sciences and Humanities Research Council (SSHRC), offer scholarships and fellowships for graduate students in various disciplines, including data science.

Data Science Jobs

The demand for data science professionals is continually growing across various sectors, including finance, healthcare, e-commerce, technology, government, and more. Graduates who complete their education in Data Science can pursue a wide range of job opportunities in various industries that rely on data-driven decision-making.

They include Data Scientist, Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, Data Architect, Research Scientist, Data Consultant, Data Product Manager, and Data Privacy and Governance Specialist.

Where can I study for a Master's in Data Science in Canada?

To learn more about the best data science universities in Canada, find details on the top-ranking Data Science universities in the QS World University Rankings by Subject 2023 below:

1. University of Toronto
2. University of British Columbia

Study MSc Data Science in Canada

If you want to study a master's of data science in Canada, arrange your free consultation today.