MSc Artificial Intelligence
If you are looking to pursue a career in the booming field of Artificial Intelligence (AI), this programme is designed for you. It has been developed with the support of the Institute of Coding, a network of employers, universities, training providers and professional bodies working together to create the skills needed for the digital economy.
Artificial Intelligence (AI) is rapidly changing the way we live, work and learn. Government and industry have recognised the need for strategic development of AI; technology giants such as Google, Microsoft and Facebook have established their own AI research institutes and in 2017, the UK government announced £75 million investment in the industry. There is however a shortage worldwide of AI talents to serve the industry and to drive future research. AI jobs are amongst the best paid in the industry while a solid background in AI is strongly desired in multiple research disciplines.
This MSc AI programme offers the cutting-edge training you need to pursue a career in this booming field. It is specifically designed to maximise your employability across a wide range of AI-related industrial and academic posts; our programme covers all five of the hottest AI topics – games, robotics, vision, music, and language – with each topic supported by the knowledge and experience of the respective world-leading QMUL research groups.
This programme is specifically designed to maximise your employability on AI-specific job. The programme is:
- comprehensive - by covering all five of the most popular AI topics
- up-to-date - where each topic is backed up by a world-leading group with cutting edge research
- unique - by offering Game AI that represents some of the most advanced AI to date (e.g., AlphaGo)
- practical - by focusing on developing practical machine learning skills across all five AI topics
This MSc in AI brings together our teaching, research and industrial contacts to allow students to mix the different AI topics that best suits their personal requirements and future plans. Students will be offered lectures that explain the fundamental AI concepts, universal machine learning tools essential for any AI job profile, and specific practical and research skills on all five of the AI topics. Students will gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), and Deep Reinforcement Learning (Deep RL) via regular exercises and practical labs. Students will be taught by world-renowned academics in their specific subject areas, and have regular contacts with them throughout the duration of the programme.
Intakes
- Sep
Application Processing Time in Days: 30
Application Process
Minimum English Language Requirements
English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
---|---|---|---|---|---|
Expert | 9 | 120 | 297-300 | 86-90 | |
Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
Very Good | 8 | 110-114 | 270-280 | 79-83 | |
Good | 7.5 | 102-109 | 253-267 | 73-79 | |
Good | 7 | 94-101 | 240-253 | 65-73 | |
Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
Competent | 6 | 60-78 | 170-210 | 50-58 | |
Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
Modest | 5 | 35-45 | 107-133 | 36-43 | |
Limited | 4 | 32-34 | 97-103 | 30-36 | |
Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Careers support
The services we offer to support your career development include:
- one-to-one appointments to help you with your career direction, give feedback on job applications, offer insight into the job market and prepare you for interviews
- workshops to support your career development and job hunting
- employer events attracting recruiters and alumni from a rich range of sectors
- support for finding internships and parttime jobs
- specialist careers consultants to support PhD students through appointments, events and workshops.
Support for international students
- We offer a programme of support for international students throughout the year, which involves talks on how to find graduate work in the UK and an International Students Week featuring external speakers.
- Students can search for jobs across the world with our international jobs database, as well as browse our guides on getting work in particular markets.
- All students have access to a rich programme of employer events and career development workshops, running across the University year.
Support after graduation
Our careers support continues after you leave Queen Mary.
- All graduates have access to our Careers and Enterprise services for two years after graduation.
- You can have -
free one-to-one appointments in person, over the phone or via Skype
Attend our employer events
use our online psychometric testing and mock-interview software
access our jobs board – over 3,000 employers uploaded vacancies in 2018/19.
Queen Mary graduates have gone on to work in these organisations:
• Accenture • Allen & Overy • Arup • AstraZeneca • Baker McKenzie • Barts Health NHS Trust • European Central Bank • Fintech Innovation Lab • Google • HSBC • IBM • Institute of Cancer Research • Institute of Dentistry • J.P. Morgan • Jaguar Land Rover • Lloyds Banking Group • Natural History Museum • Penguin • PwC • Queen Mary • Save the Children • Shell • Stella McCartney • Thales • Thomson Reuters • World Economic Forum ...and many more!
Careers success
93% of our postgraduates are in work and/or study six months after graduation. 84% of those in work/study are in highly skilled work/study (most recent DLHE Survey of 16/17 leavers)*
Enterprise support
Many students and graduates across Queen Mary start or grow their own business or social venture each year. In 2018/19, Queen Mary gave out £45,000 in seed funding to help students start new, or grow existing businesse
PSW Opportunity
- 2 Years PSW is applicable after the course completing (Bachelors level or above).
Admission Requirement / Eligibility Criteria
Degree requirements
- A 2:1 or above at undergraduate level
India
We normally consider the following qualifications for entry to our postgraduate taught programmes: Bachelor Degree (minimum 3 years) from selected institutions.
- UK 1st class degree: 70% to 80%
- UK 2:1 degree: 60% to 70%
- UK 2:2 degree: 50% to 60%
Offer conditions will vary depending on the institution you are applying from. For some institutions/degrees we will ask for different grades to above, so this is only a guide.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
-
Total Tuition Fee:
25290 GBP
Annual Cost of Living: 12006 GBP
Application Fee: N/A
Similar Programs
- Telecommunication and Wireless Systems MSc at Queen Mary University of London
- M.Sc Sustainable Energy Engineering at Queen Mary University of London
- Sustainable Energy Systems MSc at Queen Mary University of London
- MSc Mechanical Engineering at Queen Mary University of London
- M.Sc Machine Learning for Visual Data Analytics at Queen Mary University of London
- MSc in Internet of Things (Data) at Queen Mary University of London