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Next Cohort: Sep 8-Mar 8
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Duration
18 months
Tuition
$22,500
Classroom, Online
Sep 8-Mar 8
Jan 4 - Jul 4 2028
Apr 5 - Oct 5 2028
Jul 5 - Jan 5 2029
Commitment
Full-Time
Delivery
Classroom
Credential
Degree
Year Founded
2024
Scholarships
yes
The Master of Computer Science in Applied Artificial Intelligence (MCSAAI) at the University of Niagara Falls Canada is designed to prepare students for leadership in the rapidly evolving field of artificial intelligence. This graduate program offers a rigorous and comprehensive curriculum that bridges theoretical foundations with hands-on application. Students gain deep expertise in core areas such as Machine Learning, Advanced Databases, Artificial Neural Networks and Deep Learning, and Computational Linguistics and Natural Language Processing. The program also explores emerging technologies and concepts, including the Foundations of Large Language Models and Image Processing and Pattern Recognition, ensuring graduates are well-versed in the latest advancements driving the AI revolution.
In addition to technical depth, the MCSAAI program emphasizes critical thinking and ethical responsibility, with dedicated coursework focused on the societal and ethical considerations of AI technologies. This balanced approach empowers graduates to not only design and deploy cutting-edge solutions but also to navigate the broader implications of their work. Whether pursuing roles in research, development, or AI strategy across industries, MCSAAI graduates are equipped to lead innovation, tackle complex challenges, and shape the future of artificial intelligence with insight, integrity, and impact.
Domestic students $22,500
International students $45,000
Admission Requirements
- Completion of a recognized undergraduate degree equivalent to the four-year honours degree standard in an appropriate specialization.
What You’ll Learn
- Design and implement machine learning models for real-world applications.
- Analyze and manage complex data using advanced database systems.
- Develop deep learning solutions with artificial neural networks.
- Apply natural language processing and computational linguistics techniques.
- Understand the architecture and functionality of large language models.
- Evaluate ethical considerations and societal impacts of AI technologies.
Ready to get started?
Next Cohort: Sep 8-Mar 8
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Student Reviews (26)
My time at the University of Niagara Falls Canada has been really rewarding. The campus feels welcoming, and the instructors are supportive and open to new ideas. There are so many opportunities to explore different projects, connect with people, and t...
My experience at the University of Niagara Falls, Canada, has been positive and enriching. The university offers a supportive and diverse environment, with a strong focus on innovation and real-world skills. The faculty members are knowledgeable, appro...
