COURSE CURRICULUM

The Master of Computer Science in Applied Artificial Intelligence program is a comprehensive graduate degree requiring a total of 45 credits, including 30 credits of coursework, a 6-credit internship or practicum, and a 9-credit capstone project. The program begins in Year 1 Term 1 with core subjects such as Machine Learning, Advanced Databases, and Artificial Neural Networks in Deep Learning, providing students with a strong technical foundation in AI and data systems. In Term 2, students advance their knowledge through courses like Computational Linguistics and Natural Language Processing and Foundations of Large Language Models, along with an elective, allowing them to explore specialized interests. Term 3 continues with Image Processing and Pattern Recognition and Advanced Topics in Artificial Intelligence, supported by another elective to broaden learning and application areas. These courses emphasize both theoretical understanding and practical implementation of AI technologies. In Year 2 Term 1, students study Ethical Considerations with AI, highlighting the social and professional responsibilities associated with AI development, and complete a 6-credit internship that provides real-world industry experience. The program concludes in Term 2 with a capstone project, where students apply their accumulated knowledge and skills to solve complex, real-world problems in artificial intelligence. Prerequisites and co-requisites ensure a structured learning progression, while electives offer flexibility. Overall, the program integrates advanced technical training, ethical awareness, and practical experience to prepare graduates for professional roles in AI, data science, and technology-driven industries.