MSc Applied Artificial Intelligence for Engineering
Course Overview
This Master's in Applied Artificial Intelligence for Engineering equips you to not only understand the foundations of current AI technologies like deep learning and neural networks but also to pioneer the next generation of intelligent systems. You will learn to analyze future technological needs and develop innovative processing methods and data representations to solve complex, real-world engineering challenges. The program immerses you in a cutting-edge research environment, preparing you to become a highly skilled leader in the field.
Key Program Highlights
- Master the engineering principles behind cutting-edge AI (e.g., AlphaZero, Siri, Alexa)
- Develop innovative AI systems and processing methods to shape future technology
- Learn to apply advanced AI and machine learning to solve real-world engineering problems
- Engage in a research-rich environment with expert, research-active tutors
- Become a highly skilled practitioner through pioneering and immersive approaches
Course Overview
This Master's in Applied Artificial Intelligence for Engineering equips you to not only understand the foundations of current AI technologies like deep learning and neural networks but also to pioneer the next generation of intelligent systems. You will learn to analyze future technological needs and develop innovative processing methods and data representations to solve complex, real-world engineering challenges. The program immerses you in a cutting-edge research environment, preparing you to become a highly skilled leader in the field.
Key Program Highlights
- Master the engineering principles behind cutting-edge AI (e.g., AlphaZero, Siri, Alexa)
- Develop innovative AI systems and processing methods to shape future technology
- Learn to apply advanced AI and machine learning to solve real-world engineering problems
- Engage in a research-rich environment with expert, research-active tutors
- Become a highly skilled practitioner through pioneering and immersive approaches