Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 year full-time
2 years part-time
Develop your thinking and creativity as we search for the next big step in electronics.
This Master's in Applied Artificial Intelligence for Engineering 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.
This programme may include a range of learning activities such as on-campus teaching, practical sessions, workshops, placements or field-based work. These activities form part of the core learning experience.
An undergraduate (honours) degree at 2:2, or above, in a relevant Engineering subject (Electronics, Computing, Networking, Electrical, Electronic, Robotics, Cybernetics, Intelligent Systems).
Applicants without a degree that have 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.
Applicants from other backgrounds may be considered.
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), in the public sector (local government, town and country planning), and as an entrepreneur.
You may also wish to pursue further qualifications, such as a PhD, to become even more specialised.
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.
Core Modules:
Developing, Funding and Commercialising Technology (15 credits)
Design of Advanced Electronic Systems (15 credits)
Machine Sensing (15 credits)
Intelligent Distributed Systems (15 credits)
Individual Research Project (60 credits)
Machine Intelligence (15 credits)
Research, Planning and Communication (15 credits)
Human & Machine Robotics (15 credits)
Securing Technologies (15 credits)
Academic English for Postgraduates (Engineering)
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