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Duration
1 Year
Language
English
Program Description
This Master's in Machine Intelligence builds on the concepts of artificial intelligence and machine learning by creating new systems to provide intelligence. By developing new processing methods and data representations, we aim to establish the next big step in computing. The course considers what lies behind current technologies (e.g. AlphaZero, Siri, Alexa) and equips you to think beyond them - to analyse the needs for future technologies and to create and shape them.
This course offers the opportunity to participate in a highly motivated intellectual environment with research-active tutors and like-minded peers while engaging with cutting-edge technologies. You'll be immersed in innovative and pioneering approaches to the field and become highly skilled. You'll also learn to apply your understanding to present and future real-world problems.
Notes:
Tuition fees for students who have citizens' rights after Brexit (pre/settled status, 3 years + with permanent address): £8,750
This course offers the opportunity to participate in a highly motivated intellectual environment with research-active tutors and like-minded peers while engaging with cutting-edge technologies. You'll be immersed in innovative and pioneering approaches to the field and become highly skilled. You'll also learn to apply your understanding to present and future real-world problems.
Notes:
Tuition fees for students who have citizens' rights after Brexit (pre/settled status, 3 years + with permanent address): £8,750
Entry Requirements
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Education
Bachelor's Degree
6
or
Degree from State Technical Institute
6
English Level
IELTS
6
or
PTE
51
or
TOEFL (internet based)
60
Required Documents
Certified Copy of the Degree Certificate/Diploma
Certified Copy of the English Certification
ID Certified Copy
Passport Certified Copy
Detailed Transcript
Student Visa
Notes:
Main requirements:
- An appropriate recognised Bachelor's degree in a relevant engineering discipline (electronics, computing, networking, electrical and electronic engineering, robotics, cybernetics, intelligent systems) or an equivalent qualification.
Alternative entry qualifications:
- Students without a first degree but with professional and vocational experience (e.g. relevant industrial experience, Incorporated Engineer, Chartered Engineer status) may be considered if they demonstrate the potential to succeed on the course.
Alternative English language requirements:
- Apolytirion with grade 17 in English.
- University of Greenwich English Language Test (OIETC): Overall grade B2+ with B2 in each skill.
Important Information:
- If your English language qualification is below the standard requirements listed above, you may be eligible for our online pre-sessional English (PSE) programme.
- If you do not currently hold an IELTS and think you might need a pre-sessional English programme to reach the required level, you can also take the University's English Language Test (UOGELT). If you do not achieve the required score for direct entry, you will be eligible to study our online pre-sessional course using your UOGELT result.
Curriculum
Careers
Graduates will find employment opportunities as:
- futurologists
- engineers
- scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar)
- entrepreneur
City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future-orientated intelligent systems engineers that graduate from this course.
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