Master of Philosophy in Machine Learning and Machine Intelligence at University of Cambridge

Programme overview

This is an 11-month MPhil programme, taught from within our Information Engineering Division, with a unique, joint emphasis on both machine learning and machine intelligence. The course is split into five specialised pathways, which define the area in which the dissertation will fall, and which each have different compulsory and permissible module combinations. The five pathways are: (i) Machine Learning; (ii) Speech and Language Processing; (iii) Computer Vision and Robotics; (iv) Human-Computer Interaction; (v) Biological Learning.

What you will study

Thesis / Dissertation Students will write a dissertation of no more than 15,000 words.

Career pathways

The course aims to teach the state of the art in machine learning and machine intelligence; to give students the skills and expertise necessary to take leading roles in industry; and to equip students with the research skills necessary for doctoral study.

Official programme page

Application information

Entry requirements

Applicants for this course should have achieved a First class Honours Degree. You will be expected to have well-developed technical skills in engineering or a related technical area, in mathematics, and in computing. English language: IELTS (Academic) 7.0 overall (Listening 7.0, Writing 7.0, Reading 6.5, Speaking 7.0).

Domestic applicants: GBP 20,856 a year (2027/28). University Composition Fee (tuition) for 2027 entry; maintenance/living costs excluded. Source

International applicants: GBP 51,084 a year (2027/28). University Composition Fee (tuition) for 2027 entry; maintenance/living costs excluded. Source

Intake: October 2027

Duration: 11 months full-time

Apply through the official page: https://www.postgraduate.study.cam.ac.uk/courses/directory/egegmpmsl/apply

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