23Jan
UndergraduateLondon Metropolitan University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Open days
Course summary
Why study this course? Our Artificial Intelligence and Robotics BEng degree with foundation year is a comprehsenive programme designed to offer learners specialised expertise and invaluable hands-on experience in AI and Robotics. You'll learn key skills in AI, software programming, user-centred design and more, preparing you for a diverse career in this exciting industry. As a Bachelor of Engineering, you'll be equipped with the expertise to pursue an engineering career in a diverse range of sectors following your degree. Graduates of he BEng (Hons) AI and Robotics degree with a foundation year go on to work in Automation, AI, Robotics, Manufacturing, Aerospace and more. After your degree, you'll also have the option of studying for a relevant master's degree or engaging in research for a PhD, should you want to continue studying. More about this course Our Artificial Intelligence and Robotics degree course features an integrated foundation year, offering you the chance to build up important core knowledge at the beginning of your studies. During this year, you'll develop essential skills relating to artificial intelligence and related technologies, setting you up for success throughout your degree. This four-year artificial intelligence degree course is delivered from London Metropolitan University's Holloway campus, just a short journey away from London's most historic landmarks and global tech businesses. Modules are designed to offer an engaging learning experience and enhance your chances of course success, incorporating traditional lectures, interactive tutorials and innovative lab-based workshops. The following two-years of this course are designed to teach you key skills in subjects essential to all engineering disciplines, including teaching core and AI and robotics expertise. In your third year of this AI degree, you'll have the opportunity to select a key subject of interest from within the AI and robotics space, including electronic systems, programming, microprocessors, network engineering and more. With the continued support of your supervisor, you'll then embark on and specialise in an individual project based on your subject of choice. During your studies, you'll have easy access to extensive learner support, supplementary resources and study materials through our virtual learning environment (VLE). You'll have the opportunity to work within industry-standard facilities, including engineering modelling and simulation laboratories, production laboratories and professional research centres.
Modules
Example modules include: Mathematics (core), Programming (core), Cyber Security (core), Cyber Security Fundamentals (core), Introduction to Robotics and Internet of Things (core), Communications Engineering (core), Electronics Systems (core), Logic and Mathematical Techniques (core), Programming (core), Microprocessors & Embedded Systems (core), Advanced Electronics Systems (core), AI for Robotics (core), AI for ROS (core), Work Related Learning (core), Sensors, Actuators and Control (core), Network Operating Systems (core), Project (core), Applied Robotics (core), Computer Vision (core), Bio-inspired AI and Security (core), IoT Systems and Security (core), Digital Systems Applications (core), Broadband Systems 1 (core), Broadband Systems 2 (core), Wireless Networks (Cisco) (core), Artificial Intelligence (core)
Assessment method
We will utilise a diverse range of assessment methods tailored to the specific requirements of each module. These methods may include assignments to be completed in the student's own time, in-class assignments, workshops, presentations, and formal examinations. The choice of assessment methods is deliberate, designed to inspire students to perform at their best and engage in meaningful learning activities.
How to apply
29Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Foundation
Entry requirements
Qualification requirements
UCAS Tariff - 32 points
GCSE/National 4/National 5
Student Outcomes
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| England | £9535 | Year 1 |
| Northern Ireland | £9535 | Year 1 |
| Scotland | £9535 | Year 1 |
| Wales | £9535 | Year 1 |
| EU | £19500 | Year 1 |
| International | £19500 | Year 1 |
| Channel Islands | £19500 | Year 1 |
| Republic of Ireland | £19500 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please note, in addition to the tuition fee there may be additional costs for things such as equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
Provider information
London Metropolitan University
Admissions Office
166-220 Holloway Road
City of London
N7 8DB