Robotics and Artificial Intelligence MEng

University College London (UCL)

United Kingdom, London

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Home/United Kingdom/London /University College London (UCL)/Robotics and Artificial Intelligence MEng

University College London (UCL)

United Kingdom , London

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Course Code

H700

Campuses

London

Stratford (UCL East)

Program Language

English

Start & Deadlines

Next Intake Deadlines

Apply to this program

Go to the official application for the university

Duration 4 year(s)

Tuition Fee

GBP 43,500 / year

Robotics and Artificial Intelligence MEng

About

Course overview

We believe that computers should interact with, shape and change the world for the better. The emerging field of intelligent robotics will have a profound effect on humanity, just as its component parts of Computer Science, AI, and Engineering have done and continue to do.

In this programme, you will learn from our world-leading AI and robotics experts and gain access to our large suite of mobile manipulators and specialist robots.

The syllabus provides a solid foundation in theory with a focus on mathematics, engineering, programming, machine learning, and AI. Interwoven with theory is a range of practical work, enabling you to apply your knowledge and create practical solutions to problems using AI and a variety of real and simulated robots.

The programme is taught at the new, purpose-designed UCL East campus in Queen Elizabeth Olympic Park, bringing you a modern learning environment in an exciting location.

What this course will give you

UCL is ranked 9th globally in the latest QS World University Rankings (2024), giving you an exciting opportunity to study at one of the world’s best universities. UCL was also named The Times and Sunday Times University of the Year 2024.

UCL was ranked first in England and second in the UK for research power in Computer Science and Informatics in the UK’s most recent Research Excellence Framework (REF2021). You will learn from leading academic experts at the forefront of computer science innovation.

As a graduate of this programme, you will acquire an outstanding theoretical basis and be equipped with practical engineering skills that can be applied to practical situations.

You will tackle issues by applying algorithms to data, get to grips with debugging, designing and running experiments, and understand the complexities of the practical application of these skills.

Alongside project work, you will get involved in the many ethical debates that run throughout the MEng, distinguishing between the technologies that can be developed and the ones that should be developed.

You will also have opportunities to solve real-world problems facing industry via the Department’s Industry Exchange Network, preparing you as a practice-ready expert in Artificial Intelligence and intelligent robotics.

Intelligent robots will form a part of any conceivable future for society. The Robotics and Artificial Intelligence MEng draws together teaching from Computer Science, AI and Electronic and Mechanical Engineering, combining theory with practical experience. Our goal is to help you become future engineers, leaders and researchers in intelligent robotics, Artificial Intelligence (AI), technology, engineering, and finance.

Requirements

Entry Requirements

A levels IB Diploma Other qualifications

Grades: A*A*A
Subjects: A* in either Mathematics or Further Mathematics required.
GCSEs: English Language and Mathematics at grade C or 4.

Contextual offer information

Grades: A*AB more about contextual offers
Subjects: A* Mathematics required.
GCSEs: English Language and Mathematics at grade C or 4.

Points: 40
Subjects: A total of 20 points in three higher level subjects including grade 7 in Mathematics. The programme will accept either 'Mathematics: Analysis and Approaches' or 'Mathematics: Applications and Interpretation' at higher level.

Contextual offer

Points: 38 more about contextual offers
Subjects: A total of 18 points in three higher level subjects including grade 7 in Mathematics, with no higher level score below 5. The programme will accept either 'Mathematics: Analysis and Approaches' or 'Mathematics: Applications and Interpretation' at higher level.

UK applicants qualifications

For entry requirements with other UK qualifications accepted by UCL, choose your qualification from the list below:

Equivalent qualification

Not acceptable for entrance to this programme.

D2,D2,D3 in three Cambridge Pre-U Principal Subjects, to include either Mathematics or Further Mathematics at D2.

A1,A1,A at Advanced Highers (or A1,A1 at Advanced Higher and A,A,A at Higher), to include Mathematics at Advanced Higher A1.

Not acceptable for entrance to this programme.

Successful completion of the WBQ Advanced Skills Challenge Certificate plus 2 GCE A levels at grades A*A*A, to include either Mathematics or Further Mathematics at A*.

International applications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

English Program Requirements

The English language level for this programme is: Level 1

Information about the evidence required, acceptable qualifications and test providers can be found on our English language requirements page.

A variety of English language programmes are offered at the UCL Centre for Languages & International Education.

Career

The foundation of your career

As this programme launched in 2023, there is no alumni information yet. However, you can expect to acquire skills that can be applied to a portfolio of career types that intersect with leading-edge technologies. You will be well equipped to work as a robotics engineer or work on robotics systems that exist within companies spanning all industries.

You will also have sought-after machine learning and AI expertise, where experts are in demand across many industries. Start-ups, spin-offs, finance, engineering, autonomous vehicles, and the world of film, TV and animation can also make excellent use of your skills.

As a graduate of the MEng, you will have a comprehensive understanding of AI and robotics, and you will be able to apply this knowledge in many sectors that are interested in how intelligent robots can help them.

Employability

As a graduate of the Robotics and Artificial Intelligence MEng, you will have key critical skills in mathematics, engineering, computer science, Artificial Intelligence and robotics. This core technical knowledge is underpinned by your experience in project work, practically applying knowledge and communicating these through report writing and presentations. By being able to combine theory with practice, you will find yourself equipped to work in the way that engineers work in teams in the real world.

A key principle of this programme is that machines cannot solve the world’s problems alone. They need humans to develop, manage and advance them. Your multidisciplinary knowledge and technical know-how will place you at the forefront of putting this concept into practice.