Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Course Overview:

The program offers a balanced mix of theoretical and practical coursework in artificial intelligence and machine learning, covering topics such as deep learning, reinforcement learning, and probabilistic models.
Students participate in collaborative projects that require the application of AI and ML techniques to solve complex, interdisciplinary problems.
Courses are designed to provide in-depth knowledge of both AI and ML, enabling students to build and deploy intelligent systems that learn and adapt.
Special emphasis is placed on the ethical implications of AI and ML, ensuring students understand the societal impacts of their work and can develop responsible solutions.

Program objectives:

Our program integrates artificial intelligence and machine learning for interdisciplinary problem-solving, preparing graduates to tackle real-world challenges.

Emphasis is placed on leadership in AI and ML research, encouraging graduates to contribute to advancements in the field.

Ethical AI innovation is fostered, ensuring graduates prioritize responsible AI development and deployment.

Graduates develop proficiency in both AI and ML disciplines, equipping them for diverse roles in industry and research.