17 Data Analytics Degree Programs in Canada

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Canadian Post Graduate Work Permit aligned program Gartner projects that over 75% of enterprises started using Artificial Intelligence (AI) by the end of 2024, driving a 5x increase in streaming data and analytics infrastructures. With these staggering levels of growth, there is a huge demand for data-savvy professionals with the ability to analyze, communicate, and innovate in a data-centric economy. Simultaneously, the demand for conventional computing expertise (computer programming, product development, quality engineering, etc.) also continues to rise. Saint Mary’s Master of Science in Computing & Data Analytics (MSc CDA) is a graduate-level, 16-month professional program that focuses on using Generative AI (GenAI) to generate code and construct Business and IT solutions. Delivered across an interdisciplinary, industry responsive curriculum, the MSc CDA program has an impressive track-record for post-graduate employment.

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Today, few organizations make any significant plans without thoroughly understanding the Information Technology (IT) implications. IT professionals are a vital part of decision-making business teams. George Brown College answers this need with its Computer Programmer Analyst program. The broad education in programming and IT analysis that it offers can provide you with a stable platform for career growth in the rapidly expanding and ever-changing world of information technology.

The first of its kind in Canada, Schulich’s Master of Business Analytics program gives students the tools and techniques to become experts at data-driven decision-making. With the increasing importance of business analytics, the talent to analyze and demystify Big Data is in growing demand.

The goal of the program is to prepare internationally-educated graduates with degrees in information and communications technology for the fields of data analysis and machine learning. Humans have always wanted to better understand the massive amounts of currently available and newly gathered data and what that means for future potential. Artificial Intelligence and Data Analytics is the power to analyze and learn about large amounts of data from multiple sources and detect patterns to make future trend predictions. Businesses and industries benefit from predictive analytics to make decisions about production, marketing and development.

Data analysis skills can help you achieve better job security, increased earnings, and new career opportunities. No matter your current role or industry, our Data Analytics Short Course speeds your path to learning in-demand data skills and leveling up your career.

The Master of Financial Data Analytics (MFDA) aims to train highly qualified finance professionals with the computational skills essential for success in today's ever-changing financial markets. Aimed at working professionals, this unique graduate program trains students in both finance and related data analytic skills and is suitable for business graduates with or without an advanced mathematics background. Applicants to the MFDA can be from a variety of educational backgrounds, from business, economics and finance, to mathematics, computer science, information technology and other quantitative areas.

Finding needles in a haystack – it is probably what people in the field of data analytics are expected to do. It would be a simple task for them if they knew about the size, shape and colour of the needles they were looking for. In the past, data have always been collected with a purpose in mind and decisions were made based on the organization needs and the data analysis results.

Analytics is situated at the confluence of statistics, computer science, and mathematics all centered on finding, interpreting, and presenting meaningful patterns in data. We offer a Bachelor of Science in Analytics with specialization in either Data Analytics or Business Analytics, with co-operative education options available in both specializations.

The course will cover Data Analytics and Information Systems for Accounting and Finance. The course will cover system concepts, information representation for decision making, value of information, organizational system needs to meet objectives, quality of information for decision making, data and information modelling, management of information systems infrastructure and architecture, system life cycle, and risks and controls.

This two-year Technical Data Analytics post-graduate program will provide you with a solid foundational skill set related to data analysis and its supporting IT technologies. You’ll explore database and data warehouse design for business intelligence systems, big data security and governance, machine learning and AI in big data, and data analysis techniques and technologies.

As more organizations rely on data to drive corporate planning and decision-making, increasingly sophisticated business intelligence and data tools are being used to meet the need for extensive data collection and manipulation. This allows the industry to quickly respond to organizational and market opportunities. The Data Analytics for Business Decision Making graduate certificate will prepare you for a career in this high-demand area by teaching you the knowledge and skills that you need to support real-world business decision-making and planning through data insights, data management, and data science.

With the increasing importance of business analytics, the talent to analyze and demystify Big Data is in growing demand.