Taught course

Machine Learning and Machine Intelligence

Institution
University of Cambridge · Department of Engineering
Qualifications
MPhil

Entry requirements

Applicants for this course should have achieved a UK First class Honours Degree.

Students will be expected to have well-developed technical skills in engineering or a related technical area, in mathematics, and in computing.

Months of entry

October

Course content

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.

Qualification, course duration and attendance options

  • MPhil
    full time
    11 months
    • Campus-based learningis available for this qualification

Course contact details