Artificial Intelligence (BCS)
AI is rewriting every industry. Don’t just watch it happen, master the advanced skills to build, train, and deploy the tech that solves real-world challenges.
Why choose this program?
Build intelligent systems that solve real-world problems using machine learning, data, and automation. Gain the technical skills to develop AI solutions that are transforming industries, advancing research, and shaping the future of technology.
Artificial Intelligence is transforming every sector — from healthcare and finance to climate science and advanced manufacturing.
Through hands-on projects, research opportunities and collaboration with expert faculty, you’ll develop the technical foundation to adapt as AI continues to evolve. Graduates are ready to pursue careers in AI development, learning, data science and emerging technologies, or continue into graduate studies and research. As part of Atlantic Canada’s leading Faculty of Computer Science, you’ll join a community driving innovation and solving complex changes with technology.Ìý
Learn more about Artificial Intelligence at 17³Ô¹ÏÍøÔÚÏß
Careers
Artificial Intelligence graduates are helping shape the future of healthcare, business, science and beyond. With expertise in one of technology’s fastest-growing fields, you’ll be prepared to develop intelligent solutions, solve complex challenges and adapt as AI continues to transform industries.Ìý
Organizations across every sector are integrating AI to improve decision-making, automate processes and drive innovation. Graduates with AI expertise are equipped with highly sought-after skills that support emerging technologies and help shape the future of work.Ìý
12.2% of Canadian businesses reported using AI in 2025, driving demand for AI expertise & 8.3% of businesses in Canada reported that investment in AI was important to their business operations (StatsCan)
Machine learning engineers earn competitive salaries, with experienced professionals earning $100K+ annually in Canada.
What you will learn
Explore the foundations of artificial intelligence, machine learning, and intelligent systems. You’ll develop skills in programming, data analysis, algorithm design, and AI development while learning how to build technologies that can recognize patterns, make predictions, and solve complex real-world problems.Ìý
Sample courses
- Communicating with AI
- Practical Data Science
- Introduction to Computer Science
- Data Structures and AlgorithmsÌý
- Foundations of Artificial IntelligenceÌý
- Mathematical Analysis for Computer ScienceÌý
- Foundations of Machine LearningÌý
- Advanced Machine LearningÌý
- Robust and Responsible AIÌý
Co-op
Turn your knowledge into experience through paid co-op work terms, where you can complete 1–3 four-month placements with industry partners during your degree.
Through , you’ll also access workshops, mentorship, entrepreneurial resources and opportunities to create personal projects—helping you build your skills, network and confidence as a future technology leader.
Customize your degree
Build the expertise to design intelligent technologies that shape the future. This major combines computing foundations with AI-focused learning, preparing you to adapt, innovate and pursue opportunities in one of the fastest-evolving areas of technology.
Your major is one way to personalize your Bachelor of Computer Science degree.
You can further customize your studies by combining two Computer Science majors, adding a minor from another discipline, or exploring subjects across 17³Ô¹ÏÍøÔÚÏß through open electives.
Our academic advisors are here to help you plan a degree path that aligns with your interests, goals and career aspirations.
Admission Requirements
Minimum admission requirements
To be considered for admission to this program, you must meet minimum academic criteria:
- Completion of secondary school (Grade 12)
- Achievement of the minimum average for your program of choice.
- Completion of Grade 12 English (or equivalent course).
Admission to many 17³Ô¹ÏÍøÔÚÏß programs is competitive. This means that meeting minimum requirements does not guarantee admission.
Program-specific admission requirements
- Grade 12 Academic Math (Pre-calculus math recommended)Ìý
- Grade 12 Academic English EnglishÌý
- 3 additional acceptable university-prep coursesÌýÌý
- Minimum final gradesÌý
- Pre-calculus math: 65%Ìý
- Math: 70%Ìý
- English: 65%Ìý
- Other subjects: 60%ÌýÌý
- Overall average: 70%Ìý
Need Pre-Calculus, Chemistry, Physics, or another admission requirement? Our online, self-paced UPrep courses can help you earn the prerequisite you need, upgrade your marks, and build confidence before starting your degree at Dal. Explore UPrep courses.
