Robotics and Artificial Intelligence, MSc

Robotics and Artificial Intelligence, MSc

Introduction

The MSc Robotics and Artificial Intelligence programme is designed for students with a background in engineering, computer science, or a related subject who are interested in pursuing a career in the rapidly growing field of robotics and AI.

Start in September or January and take advantage of the high demand for robotics and AI engineers.

Eligible self-funded international Masters students will receive the Aberdeen Global Scholarship. Visit our Funding Database to find out more and see our full range of scholarships.

Study Information

Study Options

Learning Mode
On Campus Learning
Degree Qualification
MSc
Duration
12 months
Study Mode
Full Time
Start Month
September or January
Location of Study
Aberdeen

The convergence of robotics and AI is revolutionising industrial automation and has led to a high demand for robotics engineers who have the knowledge and skills needed to design, develop and evaluate systems to help companies improve their processes and operations.

This master’s programme covers the fundamental concepts and skills of robotics and AI including robot manipulator arms and mobile robots, bioinspiration, machine (deep) learning, simultaneous localisation and mapping (SLAM), swarm robotics, computer vision and AI. You will also gain hands-on experience through practical projects and lab work in our dedicated robotics laboratory.

We place a particular focus on handling uncertainties in industrial processes, machine learning methodologies and algorithms, autonomous systems and the application of advances in robotics and AI to the optimisation of manufacturing and industrial operations (Industry 4.0).

Your individual project will focus on a problem confronting industry today, providing you with an excellent opportunity to apply the skills and knowledge to solving a practical 'real-word' problems and demonstrate your capabilities to particular organisations or industry sectors.

The programme is supported by cutting-edge research from the Artificial Intelligence, Robotics And Mechatronic Systems (ARMS) group in the School of Engineering and the AberdeenML (Machine Learning) group based in the School of Natural and Computing Sciences.

Ultimately, the MSc Robotics and Artificial Intelligence is designed to empower students from a range of engineering, computer science, physics, maths and bioinformatics to design, build and test systems that will enhance operational efficiency and productivity.

Available Programmes of Study

MSc

Robotics and Artificial Intelligence

Qualification Duration Learning Mode Study Mode Start Month Location  
MSc 12 months On Campus Learning Full Time September Aberdeen More
MSc 12 months On Campus Learning Full Time January Aberdeen More

Fees for individual programmes can be viewed in the Programme(s) above.

We will endeavour to make all course options available; however, these may be subject to timetabling and other constraints. Please see our InfoHub pages for further information.

Fee Information

Additional Fee Information

  • Fees for individual programmes can be viewed in the Programmes section above.
  • In exceptional circumstances there may be additional fees associated with specialist courses, for example field trips. Any additional fees for a course can be found in our Catalogue of Courses.
  • For more information about tuition fees for this programme, including payment plans and our refund policy, please visit our InfoHub Tuition Fees page.

Scholarships

Self-funded international students enrolling on postgraduate taught (PGT) programmes will receive one of our Aberdeen Global Scholarships, ranging from £3000 to £8,500, depending on your domicile country. Learn more about the Aberdeen Global Scholarships here.

To see our full range of scholarships, visit our Funding Database.

How You'll Study

Learning Methods

  • Group Projects
  • Individual Projects
  • Lab Work
  • Lectures
  • Seminars
  • Tutorials

Why Study Robotics and Artificial Intelligence?

  • This programme combines robotics and AI - two of the most important emerging technologies in industry and society today. 
  • You will learn both the theoretical underpinnings and the specific tools and techniques of robotics and AI to solve real-world problems.
  • You will learn the key skills in the use of Symbolic AI, Machine Learning, Data Mining and Natural Language Processing in order to be able to engineer, develop and evaluate AI systems
  • Your research project gives you the opportunity to further enhance your problem-solving and communication skills and apply the skills and knowledge you obtain throughout the programme.
  • There has been a huge increase in demand for AI specialists across almost every industry, from energy and manufacturing to healthcare and cybercrime. This recent LinkedIn Jobs on the Rise report listed Machine Learning Engineer as one of the fastest-growing jobs in the UK. 
  • The University of Aberdeen has a strong history and worldwide reputation in Data Science, Natural Language Generation and Artificial Intelligence and is home to the research success of ARRIA NLG - the global leader in the field of natural language generation (NLG).
  • Our close industry links mean you will have opportunities to apply your skills through training and networking events and industrial placements organised through our partner organisations.
  • Students have access to our dedicated robotics laboratory, including Pepper: used for human-robot interaction; Panda robot arm: used for machine learning for manipulation; Soft robots: used for wearable devices for rehabilitation and advanced control; Dingo robot: used for machine learning and artificial intelligence; Kilobots and arena: used for swarm robotics; Epuck: used for mobile robotics
  • Delivered by specialist staff drawn from electrical and mechanical engineering as well as computer science, this MSc in Industrial Robotics offers a true interdisciplinary education.
  • The University of Aberdeen is a member of the Turing University Network, a network of UK universities engaged in cutting-edge teaching and research in data science and AI.

Entry Requirements

Qualifications

The information below is provided as a guide only and does not guarantee entry to the University of Aberdeen.

  • 2:1 (upper second class) UK Honours degree, or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth in Engineering or Computer Science is preferred.
  • Those with a 2:2 Honours degree may also be considered if they can demonstrate 1+ years of relevant experience.
  • Applicants from other academic backgrounds are strongly urged to contact the Admissions Team with their academic transcript listing all the courses they have studied, in order to discuss suitability.

Academic Technology Approval Scheme (ATAS) certificate

The CAH3 code for this degree is CAH10-01-09. Students who need a visa to live or study in the UK must to apply for ATAS clearance. The ATAS clearance certificate must be valid when you apply for a visa to enter the UK. To find out if you need to apply for ATAS clearance, please visit https://www.gov.uk/guidance/academic-technology-approval-scheme

Please enter your country to view country-specific entry requirements.

English Language Requirements

To study for a Postgraduate Taught degree at the University of Aberdeen it is essential that you can speak, understand, read, and write English fluently. The minimum requirements for this degree are as follows:

IELTS Academic:

OVERALL - 6.5 with: Listening - 5.5; Reading - 5.5; Speaking - 5.5; Writing - 6.0

TOEFL iBT:

OVERALL - 90 with: Listening - 17; Reading - 18; Speaking - 20; Writing - 21

PTE Academic:

OVERALL - 62 with: Listening - 59; Reading - 59; Speaking - 59; Writing - 59

Cambridge English B2 First, C1 Advanced, C2 Proficiency:

OVERALL - 176 with: Listening - 162; Reading - 162; Speaking - 162; Writing - 169

Read more about specific English Language requirements here.

Document Requirements

You will be required to supply the following documentation with your application as proof you meet the entry requirements of this degree programme. If you have not yet completed your current programme of study, then you can still apply and you can provide your Degree Certificate at a later date.

Degree Certificate
a degree certificate showing your qualifications
Degree Transcript
a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) (original & official English translation)
Personal Statement
a detailed personal statement explaining your motivation for this particular programme
Reference
a reference letter from your university discussing your academic ability. If you have been out of education for a long time you may wish to use your current or most recent employer, or another professional person

Aberdeen Global Scholarship

Eligible self-funded post graduate taught (PGT) students will receive the Aberdeen Global Scholarship. Explore our Global Scholarships, including eligibility details, on our dedicated page.

Aberdeen Global Scholarships

Careers

Advances in robotics and AI are transforming almost every industry sector from manufacturing and healthcare to fintech, retail and autonomous vehicles.

During the Covid pandemic, many organisations stepped up their use of robotics and automation and this trend is set to continue resulting in an increasing demand for qualified robotics technicians, engineers and computer scientists.

Typical roles this programme will prepare you for include:

  • Artificial Intelligence Engineer/Specialist
  • Design Engineer
  • Machine Learning Engineer
  • Natural Language Processing Engineer
  • Robotics Engineer
  • Software Engineer

According to the careers website talent.com, the average robotic engineer salary in the United Kingdom is £40,000 per year. Entry-level positions start at £35,000 per year while most experienced workers make up to £60,344 per year.

Our Experts

Associate Director
Dewei Yi
Director
Dr Sumeet Sunil Aphale

Information About Staff Changes

You will be taught by a range of experts including professors, lecturers, teaching fellows and postgraduate tutors. Staff changes will occur from time to time; please see our InfoHub pages for further information.

Get in Touch

Contact Details

Address
Student Recruitment & Admissions
University of Aberdeen
University Office
Regent Walk
Aberdeen
AB24 3FX