Computing and Data Analytics Saint Mary's University

Overview

The Computing and Data Analytics programme at Saint Mary's University is an intensive professional degree designed to address the global surge in artificial intelligence and streaming data infrastructure. This 16-month master’s curriculum bridges the gap between advanced computing theory and practical industry application through a rigorous, interdisciplinary approach.

Students engage with cutting-edge technical trends, including end-to-end AI, generative models, and big data governance. The programme emphasises hands-on experience, requiring students to use generative AI for code production and IT solution construction across all modules. This ensures graduates are prepared for the complexities of modern software development and predictive analytics.

Why Computing and Data Analytics at Saint Mary's University?

This programme is uniquely industry-responsive, offering students direct access to award-winning instructors from both the Faculty of Science and the AACSB-accredited Sobey School of Business. The curriculum is designed to build a robust professional portfolio using technologies such as Python, AWS, Azure, and various NoSQL databases.

A significant advantage of studying here is the focus on work-integrated learning. Students benefit from industry-sponsored projects and paid internships, contributing to a graduate employment rate of nearly 100% at Fortune 500 companies and innovative start-ups. Additionally, the programme is a Registered Education provider for the Certified Analytics Professional designation.

Tuition Fee Breakdown

• International fee: CAD 28733 per year
• National fee: CAD 15483 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum focuses on high-demand technical areas and practical software systems. Modules may include:

• Artificial Intelligence
• Data Analytics
• Big Data Governance
• Software Development
• Machine Learning Integration
• Cloud Services
• Predictive and Prescriptive Analytics
• Data-as-a-Service
• Intelligent Automation of Quality Assurance

Careers with Computing and Data Analytics

Graduates are highly sought after for roles in digital technology and artificial intelligence sectors. The programme prepares students for successful careers in Fortune 500 firms, small-to-medium enterprises, and tech start-ups. Common career paths include data scientist, AI developer, and big data architect.

The integration of industry workshops, hackathons, and expert guest speakers ensures that students graduate with a professional network already in place. Many alumni secure full-time positions immediately following their industry-sponsored projects or paid internships.

Accreditation

MSc CDA is a Registered Education provider for the Certified Analytics Professional designation. CAP® is managed by INFORMS, the largest professional society in the field of operations research, management science, and analytics. By completing the MSc CDA program, graduates will have fulfilled the education requirements for CAP® credential and are prepared to write the qualifying exam.