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University of Cambridge: Machine Learning and Machine Intelligence
| Institution | University of Cambridge |
|---|---|
| Department | Engineering |
| Web | https://www.cam.ac.uk |
| Study type | Research |
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.
MPhil (Res)
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Cambridge University The Old Schools Trinity Lane Cambridge CB2 1TN |
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