Why study this program?

Break into AI - No technical background required. Ranked #2 in Canada for AI research.  100% online

The online Graduate Certificate in Data Science and Artificial Intelligence (DSAI) is designed for non-technical working professionals to build in-demand AI skills and advance their careers. This fully online, four-course graduate certificate helps develop foundational knowledge in artificial intelligence, the ethical application and responsible use of AI, leveraging data analysis for effective storytelling and introduces important statistical concepts for data science and AI.

Learn from global leaders and gain the tools and knowledge to thrive in an AI-driven world. Prior experience in computing or mathematics is not required.

Why Choose This Program?

AI, Data Science, and Responsible AI Skills - Needed in Every Industry

• AI and big data are the #1 fastest-growing skills globally through 2030 
• Demand for AI governance skills is up 150%, and AI ethics skills have increased in demand by 125% in recent workforce data
• 78 million net new jobs expected worldwide due to AI and technology adoption 
• Data science careers are projected to grow 36% over the next decade
• AI ranks among the top 20 in-demand skills across all job postings
  Sources: World Economic Forum, Future of Jobs Report 2025, Cisco Investor Relations 2025

Learn From The Global Leader in AI

The U of A is a top Canadian University in AI research and #5 globally—and is home to one of the most established AI ecosystems in the world. 

Stand out with Canada’s only graduate-level Data Science and AI certificate - giving you a distinct competitive edge in a rapidly evolving field.

Flexible Delivery, Accelerated Completion  

Designed for working professionals from all sectors, anywhere. Advance your career by completing four (4) focused online asynchronous courses. Courses are offered one at a time, providing you with flexibility to balance school, work and life commitments. Complete the certificate in as few as two (2) academic terms.

Accessible Entry Into AI - No Technical Background Required

This program removes traditional barriers to entry with no technical background (no prior background in coding, mathematics, or data science needed) or a minimum GPA required for application, while maintaining the academic rigour and quality expected of a graduate credential. 

This program is intentionally designed for learners from all disciplines, including those returning to school or transitioning careers.

Who Should Apply?

This program is designed for learners from a wide range of backgrounds who are ready to build practical data, AI, and ethical applications skills, including:

• Career changers ready to break into data and AI—no technical background required
• Mid-career professionals looking to update their knowledge to future-proof their skills
• Recent graduates seeking practical, in-demand technical capabilities
• International learners aiming to gain a Canadian credential and expand career opportunities

If you’re ready to build data, AI, and ethical AI skills, this program was designed for you.

What You’ll Learn

• Develop and apply ethical frameworks for responsible data use and AI deployment, considering privacy, bias, fairness, inclusion, transparency and societal impact.
• Apply data-driven and AI-powered approaches to identify, design, and implement solutions for problems, integrating domain expertise and appropriate analytical techniques.
• Create compelling data visualizations and analytical narratives to effectively communicate insights and support decision-making for diverse audiences, from technical specialists to executive stakeholders.
• Identify and evaluate appropriate artificial intelligence and machine learning approaches for specific business or research challenges, understanding their capabilities, limitations and implementation requirements.
• Critically evaluate emerging trends and innovations in data science and artificial intelligence, assessing their potential applications and implications for relevant professional domains.
• Demonstrate leadership in data-driven decision-making, including project management, stakeholder communication, and translating technical concepts for non-technical audiences.

Program Structure

Earn your certificate by completing the required four (4) online, asynchronous courses for a total of 12 credits. Each course has a scheduled start and end date and is seven (7) weeks in length. These courses are fast-paced and move quickly. Students can expect to spend approximately 15 - 20 hours per week on coursework, sometimes more. The program can be completed in as little as eight (8) months, but students can take up to four (4) years to complete the credential. 

Courses can be completed in any order, but are conveniently scheduled sequentially, allowing you to complete the program in two (2) academic terms.

• DATA 517: Fundamental Data Analytics and Visualization
• DATA 521: Statistical Foundations for Data Science and AI
• AI 519: Fundamental Concepts in Artificial Intelligence
• AI 523: Responsible and Ethical Usage of AI

Important Timelines

Fall 2026 Admission

• Applications Close: October 19, 2026
• Program Starts: October 26, 2026, with DATA 517: Fundamental Data Analytics and Visualization

Limited spots available, apply today to secure your place and join a global community of learners and changemakers.

Winter 2027 Admission

• Applications Close: November 29, 2026
• Program Starts: January 4, 2027

Limited spots available, apply today to secure your place and join a global community of learners and changemakers.