Course summary
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 four specialised pathways, which define the area in which the dissertation will fall, and which each have different compulsory and permissible module combinations. The four pathways are: (i) Machine Learning; (ii) Speech and Language Processing; (iii) Computer Vision and Robotics; (iv) Human-Computer Interaction. 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.
Assessment method
Thesis / Dissertation Students will write a dissertation of no more than 15,000 words. The broad subject area of the dissertation will be determined by the pathway which the student is pursuing. Essays Several of the core courses are examined wholly or mainly through coursework. Some optional modules will also be examined through coursework. Written examination Some of the core courses are examined wholly or mainly through written examination. Some of the optional modules will also be examined through written examination. Other At the discretion of the examiners, candidates may be required to take an oral examination on the work submitted during the course, and on the general field of knowledge within which it falls.
Entry requirements
Applicants for this course should have achieved a UK First class Honours Degree. If your degree is not from the UK, please check International Qualifications to find the equivalent in your country. You will be expected to have well-developed technical skills in engineering or a related technical area, in mathematics, and in computing.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Cambridge
The Old Schools
Trinity Lane
Cambridge
CB2 1TN