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What will I learn?

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, including speech and language technology and computer vision. 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.

Learning Outcomes

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

  • knowledge of the fundamental techniques in machine learning and how to apply these techniques to a range of practical problems;
  • a deep understanding of fundamental problems in machine intelligence, including speech and language processing and computer vision, and the technologies that form the current state of the art;
  • a comprehensive understanding of techniques, and a thorough knowledge of the literature, applicable to the area of their chosen research topic;
  • presentation skills through presenting their research in progress;
  • the methodological and other technical skills necessary for research in their chosen area;
  • the ability to critically assess the technical literature in machine learning and machine intelligence and related topics;
  • directly marketable skills in computing, machine intelligence, machine learning, and the data sciences;
  • collaborative skills through working with other students on the practical exercises and with PhD students and research assistants while carrying out their research project;
  • experience in large-scale computing for machine learning and machine intelligence; and
  • an understanding of how to define and conduct a research project.

Which department am I in?

Department of Engineering

Study options

Full Time (11 months)

Tuition fees
£37,815.00 (US$ 45,784) Overall cost
The above mentioned fee is University Composition Fee. Students also additionally need to pay maintenance fee £13,980 and settling In fee £350.

This is a fixed fee
Start date

1 October 2022

Venue

University of Cambridge

The Old Schools,

Trinity Lane,

Cambridge,

Cambridgeshire,

CB2 1TN, England

Entry requirements

For students from United States

Students need to have a Bachelor’s Degree from a recognised university with an overall GPA of at least 3.5/4 GPA 3.5/4; GPA 4.3/5. If the academic requirement of the course is a first then they need to have an overall GPA of at least 3.7/4; GPA 4.6/5.

For international students

Applicants for this course should have achieved a UK First class Honours Degree. Applicants will be expected to have well-developed technical skills in engineering or a related technical area, in mathematics, and in computing. Students need an IELTS (Academic) total of 7.0 with Listening, Writing, Speaking score 7.0 and Reading 6.5 and TOEFL score of 100(Listening; Writing; Reading; and Speaking score of each 25).

*There may be different IELTS requirements depending on your chosen course.

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