Master's Programme, Machine Learning

About this programme

The master’s programme in Machine Learning gives you a foundation in mathematics, statistics and algorithms for understanding and developing systems that learn from data. You combine theory with practice and can explore deep learning and generative AI, computer vision, language technology and robotics. You learn to frame problems for machine learning and design, implement and critically evaluate solutions, preparing you for advanced roles in industry and research or for doctoral studies. 16 October (2026): Application opens 15 January: Last day to apply 1 February: Submit documents and, if required, pay application fee 1 April: Admission results announced Machine learning is transforming how complex problems are approached across science, engineering and industry. Recent advances in generative AI, large language models and agentic AI demonstrate both the pace of progress and the growing reach of the field. In this programme, you study important emerging technologies while developing a deep understanding of the principles and methods that underpin modern machine learning. This foundation enables you to critically evaluate and effectively apply current techniques, develop new solutions, and continue adapting as the field evolves. Building on this foundation, the programme spans probabilistic modelling, optimisation and statistical learning, as well as neural networks, representation learning, deep learning and artificial intelligence. Across different application domains, you examine how the properties of the data and task influence model design, training and evaluation. D