MPhil in Machine Learning
An intensive one-year programme providing rigorous training in the theory and practice of machine learning, preparing you for research careers in academia or industry.
Key Information
Programme Overview
The MPhil in Machine Learning is designed for students with strong mathematical backgrounds who wish to develop expertise in the rapidly evolving field of machine learning. The programme combines rigorous theoretical foundations with practical applications.
You will study advanced topics including deep learning, probabilistic machine learning, reinforcement learning, and natural language processing. The programme culminates in a substantial research dissertation supervised by world-leading researchers.
Curriculum
Michaelmas Term
- • Foundations of Machine Learning
- • Probabilistic Graphical Models
- • Deep Learning
Hilary Term
- • Reinforcement Learning
- • Natural Language Processing
- • Computer Vision
Trinity Term & Summer
- • Research Dissertation
- • Optional: Industry Placement
Entry Requirements
- First-class or strong upper second-class undergraduate degree in Computer Science, Mathematics, Statistics, Physics, or related discipline
- Strong mathematical background including linear algebra, calculus, probability, and statistics
- Programming experience (Python preferred)
- English language: IELTS 7.5 overall (7.0 in each component) or equivalent
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