MSc in AI

Learn, think, do

On CitAI's MSc in Artificial Intelligence, you learn advanced AI technology and how to apply it to problems in image and sequence classification and prediction and reinforcement learning optimization, as well as in computational modelling of learning and behaviour.

Our focus is on Deep Learning - developing adaptable artificial neural networks (ANNs) that replicate how the brain works. These include Convolutional and Recurrent networks, Variational Autoencoders, Generative Adversarial Networks, Transformers and Deep Reinforcement Learning algorithms and architectures. You also explore the wider ethical and legal issues that surround AI and how "Explainable AI" is used to interpret the functioning of complex ANNs.

As part of your project and in preparation for employment or future research, students work on how to apply AI to real-world problems, with our CitAI team.



From left to right and top down: Sofoklis Kyriakopoulos, Jasveen Kaur, Zarin Wamia, Abdikarim Dilib, Fan Fu, Damien Lopez, Ruotian Zhang, Geoffrey Payne, Minoh Kwon, Cansin Sapmaz, Ryusuke Otani, Willem Van de Mierop, Vasilis Kotsos, Jon Thum, Kiran Ikram, Shehrum Bokhari, Azucena Ascencio Cabral, Arnau Coiduras Huguet, Albert García Plaza, Mpagi Kironde, Alexander Dean, Vincenzo Di Gennaro, Yuen Yeung, Nikhil Vallakati, Stavros Ioannidis, Alexander McCaffrey, Chloe Munden, Corina Cătărău-Cotuţiu, Azad Deihim, Henri Placek, Monica Furdui. Missing from the picture: Kozimjon Khikmatillaev and Christopher Michael-Stokes.
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The course is hands-on, using the new world-class CitAI Lab which provides the latest computers, tools and technologies, and the GPU power needed for Deep Learning. Please visit City's website for details on requirements and how to apply. If you have any questions, contact the MSc AI Programme Director Dr. Esther Mondragón (