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MPhil in Machine Learning and Machine Intelligence

The MPhil in Machine Learning and Machine Intelligence is an 11-month programme taught by the Information Engineering Division. The course has a unique emphasis on both machine learning and machine intelligence, with five specialised pathways:

• Machine Learning
• Speech and Language Processing
• Computer Vision and Robotics
• Human-Computer Interaction
• Biological Learning

Each pathway has different compulsory and permissible module combinations, defining the area in which the dissertation will fall.

Learning Outcomes

By the end of the programme, students will have acquired:

• Knowledge of fundamental techniques in machine learning and their application to practical problems
• A deep understanding of fundamental problems in machine intelligence, including speech and language processing and computer vision
• A comprehensive understanding of techniques and literature applicable to their chosen research topic
• Presentation skills through presenting their research in progress
• Methodological and technical skills necessary for research in their chosen area
• The ability to critically assess the technical literature in machine learning and machine intelligence
• Directly marketable skills in computing, machine intelligence, machine learning, and data sciences
• Collaborative skills through working with other students and research assistants
• Experience in large-scale computing for machine learning and machine intelligence
• An understanding of how to define and conduct a research project

Continuing to PhD

Students wishing to apply for continuation to the PhD would normally be expected to attain an overall mark of 70 per cent.

Key Information

• Duration: 11 months full-time
• Study Mode: Taught
• Degree: Master of Philosophy
• Department: Department of Engineering

Dates and Deadlines

• Applications open: September 3, 2025
• Application deadline: December 3, 2025
• Course starts: October 1, 2026

Funding Deadlines

• Course funding deadline: December 3, 2025
• Gates Cambridge US round only: October 15, 2025

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