As more businesses depend on data science and analytics to make business decisions, the demand for data scientists is only expected to keep rising in future years.
A degree in data science and analytics is a great way to start a career in this emerging in-demand field. Canada is one of the top study destinations for international students to study data science and analytics. Canadian institutions offer a wide range of undergraduate and postgraduate degrees in data science and analytics for students to explore.
Here are top 15 universities in Canada to study data science and analytics:
The University of Waterloo’s Data Science programs study the application and development of methods that facilitate insight from available data in order to understand, predict, and improve business strategy, marketing campaigns, medicine, public health and safety, and numerous other pursuits.
The unique Data Science program at Ryerson University enables students to develop interdisciplinary skills, and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates become highly trained, qualified data scientists who can go on to pursue careers in industry, government or research.
Carleton’s University’s data science programs at postgraduate level are totally focused on the technical aspect of Data Science. The programs offer opportunities to undertake groundbreaking research in the field of data science and analytics from several directions such as statistics, AI methods and software engineering.
The Data Analytics program at Western University is designed to produce technical professionals ready to pursue data science and analytics focused career within the public and private sectors.
The program develops students’ core competencies in computer science and statistics, equipping them with a set of highly sought-after, interdisciplinary technical data science and analytics skills.
York University’s Data Analytics program focuses on the foundational knowledge of data analytics. In this program, students will receive a comprehensive education in contemporary data analytics and be exposed to some of the main software applications used in the industry today.
The Data analytics program at Trent University provides an experiential learning opportunity where students will get practical, hands-on experience using their data science and analytics skills in a workplace environment. Students will be prepared to suggest informed, data-driven business decisions to help lead change in an organization. This program is a great way to build a solid foundation in data analysis techniques, including parallel programming, visualization, data mining and predictive modelling.
TRU’s Data Science program, engages students in research and hands-on applications of data science in the classroom and through industrial projects, using cutting-edge techniques and algorithms. Students will work on models of practical, existing problems to prepare them for future situations in their career.
UBC’s Master of Data Science program was designed to address the workforce gap by equipping students with the technical skills, practical experience, and most importantly, the confidence to seize opportunities in an ever-expanding field.
Data Analysis program at the University of the Fraser Valley equips students with the practical skills needed to extract reliable information from large data sets. Students also learn the statistical techniques needed to collect data correctly, assess its quality, analyze it, and turn it into the business intelligence that companies and institutions highly value in the marketplace.
The University of Toronto’s Data Science course covers training on advanced statistical modelling, machine learning and natural language processing. The course covers essential content in neural networks and deep learning; programming languages and software used in data extraction and analysis; and data security, compliance and privacy issues. Students will also learn how to represent data visually to help decision-makers understand certain findings.
The Department of Computer Science offers programs of study that focus on four main areas of research: artificial intelligence; databases and information retrieval; graphics, image and audio processing; multimedia, and software engineering.
The University of Western Ontario offers a one year professional Master’s program in Data Analytics which aims to equip students with a set of highly sought-after, interdisciplinary technical data analytics skills, approaches and experiences and prepare them for an analytics-focused career.
The Acadia Institute for Data Analytics was formed to advance knowledge in data analytics and to foster the commercialization of data analytics solutions to challenges facing industry, government, and society in rural Canada. Situated in Acadia’s Rural Innovation Centre, this unique technology-based Institute has worked with a wide range of start-ups and established companies interested in using data analytics and machine learning to create new products and services and build a competitive advantage.
The data science course at New Brunswick aims to introduce students to the fundamentals of data science and prepare them in dealing with the challenges of Big Data analytics. It covers basic and advanced Python programming and Python libraries for data analysis. The course presents data visualization techniques and statistical methods, as well as data exploration techniques. It includes an introduction to machine learning and presents special data analysis topics.
The University of Ottawa’s Data Science program provides students with significant hands-on experience through various projects and a Data Science Laboratory. The Data Science program covers the study, application, and development of methods through data analysis.