MSc Applied Artificial Intelligence for Engineering
Gillingham, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2024
TUITION FEES
GBP 18,150 / per year *
STUDY FORMAT
On-Campus
* full-time international | home £11,000 per year; part-time international £3,025 per 30 credits | home £1,850 per 30 credits
Introduction
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.
What you should know about this course
- Making use of our highly specialised equipment bought to support teaching and research you will not only develop the technical, but also practical skills required for your career.
- You will learn to think outside of the box and reach your design goal more directly through innovative approaches.
- Your designs will incorporate any necessities, like security, from the start, eliminating the need for later additions.
- This course prepares you for what is out there now, as well as having the ability to develop the next steps in any area of electronics/computing.
- This course is taught at our Medway Campus in Kent.
Admissions
Scholarships and Funding
There is a range of financial support options available to support your studies, including the Aspire@Greenwich award for study resources that many full-time students will receive.
EU students may be eligible for a bursary to support their studies. View our EU bursary to find out more.
Discover more about grants, student loans, bursaries and scholarships. We also provide advice and support on budgeting, money management, and financial hardship.
Curriculum
Full time
Year 1
Students are required to study the following compulsory 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)
Part-time
Year 1
Students are required to study the following compulsory modules.
- Developing, Funding and Commercialising Technology (15 credits)
- Design of Advanced Electronic Systems (15 credits)
- Machine Sensing (15 credits)
- Human & Machine Robotics (15 credits)
Year 2
Students are required to study the following compulsory modules.
- Intelligent Distributed Systems (15 credits)
- Individual Research Project (60 credits)
- Machine Intelligence (15 credits)
- Research, Planning and Communication (15 credits)
- Securing Technologies (15 credits)
Program Tuition Fee
Career Opportunities
What sort of careers do graduates pursue?
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.
Do you provide employability services?
We have a team dedicated to enhancing student employment outcomes. This includes an Employer Partnerships Manager, who works with companies to provide placement and employment opportunities.
Our team will also help you understand the jobs market, produce effective CVs, and prepare for graduate job and placement applications in your final year.