Machine Learning and Machine Intelligence

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

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.

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.

Information for international students

Language Requirement

IELTS (Academic)

Element Score

Listening 7.0

Writing 7.0

Reading 6.5

Speaking 7.0

Total 7.0

TOEFL Internet Score

Element Score

Listening 25

Writing 25

Reading 25

Speaking 25

Total 100

CAE

Score: Grade A & B (overall score of 193, with no element lower than 185 plus a Language Centre assessment)

CPE

Score: Grade A, B, or C (with at least 200 with no element lower than 185).