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Next Cohort: Sep 1-Mar 1
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Duration
18 months
Tuition
$22,500
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.
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Next Cohort: Sep 1-Mar 1
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Student Reviews (11)
As a business analyst, I found the Master of Data Analytics program at the University of Niagara Falls to be highly practical and relevant. The curriculum blends technical skills with real-world application, equipping students with the tools needed to ...
My application process at the University of Niagara Falls was nothing short of impressive. The admissions team exceeded my expectations with an incredibly efficient three-week turnaround time to receive my Letter of Acceptance (LOA). It was a smooth an...
