Study location	United Kingdom, Guildford, Surrey
Type	Master courses, full-time
Nominal duration	1 year
Study language	English
Awards	MSc

Entry qualification

Undergraduate diploma (or higher) A minimum of a 2:2 UK honours degree or a recognised international qualification in either: Communication, Computer, Electrical, Electronic or Telecommunication Engineering; Information and Communication Technologies; or Mathematics. The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take verified copies of the entry qualification documents along with you when you finally go to the university.

Language requirements	English Accepted proof of proficiency: Cambridge English, IELTS, TOEFL, Certificate in Advanced English (CAE) or other equivalent IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element.

Other requirements	At least 2 reference(s) should be provided. Please provide contact details of two referees. A motivation letter must be added to your application.

More information	surrey.ac.uk/..0f91f0-48b19ea87f-306279533

Overview

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

Programme structure

If you’re studying this course full-time, you’ll study eight modules across the year – four in each semester. During the first semester, you’ll also apply for and agree on a project with an academic supervisor and begin initial work on the project, before working on it full-time after the end of the second semester. From that point, you’ll have approximately two and a half months to complete the work and write up your dissertation.

Modules listed are indicative, reflecting the information available at the time of publication. Please note that modules may be subject to teaching availability, student demand and/or class size caps.

60 CREDIT STANDARD PROJECT Core Year-long
Semester 1:
ETHICS AND REGULATION OF ARTIFICIAL INTELLIGENCE Compulsory
INTERNET OF THINGS Compulsory
COMPUTER VISION AND PATTERN RECOGNITION Optional
FUNDAMENTALS OF DIGITAL SIGNAL PROCESSING Optional
FUNDAMENTALS OF MOBILE COMMUNICATIONS Optional
SPEECH & AUDIO PROCESSING & RECOGNITION Optional

Semester 2

IMAGE PROCESSING AND DEEP LEARNING Compulsory
ADVANCED MOBILE COMMUNICATIONS SYSTEMS Optional
ADVANCED SIGNAL PROCESSING Optional
AI AND AI PROGRAMMING Optional
INNOVATION MANAGEMENT Optional

Career opportunities

- AI scientist at a global technology company (e.g. Adobe, Google, Facebook, Samsung)
- AI analyst in Finance/Banking and other jobs requiring a systematic understanding of AI
- Entrepreneurial roles, e.g. business start-ups focused on AI technology
- Industry-sponsored PhD studentship at the cutting edge of AI research