The MSc in Applied Artificial Intelligence (AAI) program emphasizes a rigorous foundation in the core disciplines of AI. The program offers students fundamental knowledge, skills, and first-hand experience in AI by balancing theory and practice, engaging students in active learning, and encouraging collaboration on projects drawn from real-world contexts. Students enter the program with a strong foundation in computer science or a related computing degree. They graduate with a profound understanding of applied artificial intelligence. The MSc in Applied Artificial Intelligence (AAI) program offers the following four tracks:
- Applied Artificial Intelligence Track:This track focuses on core AI principles, including machine learning, AI probability and statistics, and deep learning. It emphasizes developing trustworthy and ethical AI systems, ensuring graduates understand ethical considerations. Students will acquire practical skills to create advanced AI applications, preparing them to solve real-world problems across various industries.
- Intelligent Robotic Systems Track:Students in this track will explore the integration of AI with robotics, learning to design and develop intelligent robotic systems capable of autonomous decision-making and complex task execution. The curriculum covers advanced topics such as computer vision, sensor integration, and robotic control systems.
- Artificial Intelligence in Healthcare Track:This track is tailored for students interested in applying AI technologies to healthcare. It covers the use of AI in medical imaging, diagnostics, personalized medicine, and healthcare management. Students will learn to develop AI-driven solutions that improve patient outcomes and streamline healthcare processes.
- Business Intelligence Track:The Business Intelligence track equips students with the knowledge to harness AI for data-driven decision-making in business contexts. It includes courses on data analytics, predictive modeling, and strategic AI implementation, enabling students to transform raw data into actionable insights that drive business success.