Industrial Robotics, MSc

Industrial Robotics, MSc

Introduction

The MSc in Industrial Robotics applies fundamental principles from engineering and computer science to the understanding and development of robotics technologies for sectors as diverse as manufacturing, energy, transport, logistics and healthcare.

Drawing on core concepts of robotics and artificial intelligence, students will study emerging technologies driving the digital transformation - including Industry 4.0 and Biomedical Engineering. Equipped to design cutting-edge robotic systems and implement state-of-the-art algorithms, graduates will be given an essential skill set for the industries and societies of the future.

Study Information

At a Glance

Learning Mode
On Campus Learning
Degree Qualification
MSc
Duration
12 months
Study Mode
Full Time
Start Month
September
Location of Study
Aberdeen
Subject marketing image

Robotics is an interdisciplinary and highly dynamic field. It ranges from the design of mechanical and electronic components to the development of software used to sense the environment, plan robot motions and control their execution.

The MSc in Industrial Robotics is designed to enable its graduates to have rewarding careers in all aspects of robotics and mechatronics, for example, as roboticists, automation and controls engineers, software engineers and data scientists; in a wide variety of industry sectors.

This programme is suitable for students with engineering, physical or mathematical sciences backgrounds, who are looking to advance their specialist knowledge and skills by gaining a higher qualification in the field of industrial robotics.

You will study core topics in robotics and artificial intelligence, including robot kinematics and dynamics as well as robot programming and learning. You will also learn about mobile and bioinspired robotic technologies as well as robot localisation and mapping. In addition, the essential areas of control engineering and mathematical optimisation will also be covered. Finally, you will carry out a research-based dissertation project enabling enthusiastic self-learning via application of taught concepts.

This Master's programme emphasises hands-on hardware and software development of mobile robotic solutions for the energy, transport and logistics sectors as well as the project-based design of swarm and soft robotic technologies which are key for surveillance, healthcare as well as dexterous manipulation in the food and manufacturing industries.

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.

What You'll Study

Semester 1

Compulsory Courses

Introduction to Mobile Robotics and Bioinspiration (EG504M)

15 Credit Points

Mobile robots can be used in a range of applications, including warehouses, agriculture, and other real-world environments. One of the main challenges for robots operating in the real world is that this is an unstructured environment. Nature has found clever solutions for the design of intelligent and effective systems operating in the unstructured environment hence biology is an obvious source of inspiration for robotics. In this course we take inspiration from nature to engineer intelligent systems for real-world applications as, for example, locomotion.

Localisation and Mapping in the Industrial Domain (EG504N)

15 Credit Points

The aim of the course is to give an overview of the key techniques for enabling mobile robots to localise themselves, map their environments or do both simultaneously. The course introduces students to the fundamentals of statistical modelling and state estimation, widely used in automated vehicles and industrial automation.

Advanced Control Engineering (EE501T)

15 Credit Points

This is the second course in control engineering which looks at the state-space representation of systems as well as state-space based control design techniques. The course also introduces basic concepts in System Identification and Nonlinear Control. Traditional continuous-time as well as sampled-data (digital) systems are covered.

Biomaterials for Medical Devices and Implants (EG505K)

15 Credit Points

This course introduces the field of biomaterials, specifically the use of synthetic materials to make medical devices for the repair or replacement of diseased or damaged tissue/joints in the body. This will include an understanding of the need to balance the required performance and functionality of the medical device with the biological response to the device. The concept of biocompatibility will be introduced. Students will gain an understanding of the interdisciplinary nature of designing and developing medical devices and will use some case studies to demonstrate this.

Semester 2

Compulsory Courses

Kinematics and Dynamics of Industrial Robot Arms (EG554V)

15 Credit Points

Robotics is an essential component of Industry 4.0. The adoption of robots in industries worldwide is on the rise and robotic arms are the most successful robotic platform.

The course introduces students to the analysis and use of robot arms, by exposing them to the theoretical basis of robotics as well as their practical implementation. This course focuses on the kinematics, dynamics and control of robotic arms.

Industrial Robot Programming and Learning (EG554W)

15 Credit Points

The aim of the course is to give an overview of the different approaches to specify motions of industrial and mobile robots, up to autonomous robots that learn from their experiences. The course introduces students to the fundamentals of machine learning, which are relevant for robotics research and practice.

Mathematical Optimisation (EG551T)

15 Credit Points

Ever wondered how Excel is able to draw an optimal line through a set of points? This course looks at how typical engineering problems that cannot be described mathematically (or are difficult to do so) can be solved so that the optimal solution is found. The course contains a range of examples to show how the techniques are applied to real world problems in different engineering disciplines. The course will show how to develop computational algorithms from scratch, with a fundamental understanding of how the algorithms function, both mathematically and then in real time on a computer.

Rehabilitation Engineering and Biomechanics (EG555K)

15 Credit Points

Our bodies are shaped by the forces that act on them, and to understand movement, we need to understand the nature of that interaction. In this course, students will learn the basis of human movement in terms of the biomechanics of the musculoskeletal system. They will also appreciate the impacts that disease or injury can have on our ability to move, and gain insight into some of the technologies that can help improve function in people with movement disorders.

Semester 3

Compulsory Courses

MSc Individual Project (EG59F1)

60 Credit Points

The MSc Individual Project is an independent piece of research based on a topic related to a student’s degree programme. Students are encouraged to focus on a problem confronting industry or a related area. The individual project provides students with an opportunity to demonstrate how the in-depth skills and knowledge they have gained during the taught courses can be used to provide solutions to practical problems. The individual project should contain a degree of original research.

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

Fee information
Fee category Cost
EU / International students £25,100
Tuition Fees for 2022/23 Academic Year
Home / RUK £10,600
Tuition Fees for 2022/23 Academic Year

Additional Fee Information

  • 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

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.

How You'll Study

Learning Methods

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

Why Study Industrial Robotics?

  • This is the first programme in the UK to explicitly target the area of ‘Industrial Robotics’, which gives this programme a unique focus on industrial automation and biomedical engineering.
  • This interdisciplinary programme covers a large variety of engineering disciplines such as Robotics, Mechatronics, Machine Learning, Biorobotics, Probabilistic Reasoning and Soft Robotics. Training in these areas will advance the student proficiency in transferrable skills like computer programming, project planning and managing.
  • The MSc Industrial Robotics is delivered by renowned experts in this field, including Dr Sumeet S. Aphale, a Chartered Engineer and Senior Member of the IEEE, who brings close to two decades of experience in the design, analysis and control of robotic/mechatronic systems and sensors. Dr Aphale has successfully designed and tested novel flexible robotic manipulators, vibration damping and isolation systems, precise positioning devices and devices for neuromuscular stimulation for enhanced injury recovery. He has been a named researcher on several industry and government-funded projects totalling ~£1.5M and his research has been published in over 80 peer-reviewed papers.
  • Students receive hands-on tutorials with mobile robotic systems and will attend demonstrations in the newly built robotics laboratory at the University of Aberdeen.
  • This programme has attracted significant support from the industry, including the provision of industry-standard software.
  • The assessments in this degree programme cover the entire assessment spectrum from timed, in-class exams to homework assignments, software-based simulations, hardware-based experiments, design reports, presentations, group work and research-based dissertations; making it a richly rewarding and exciting learning experience.

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 Electrical / Electronics / Mechanical / Mechatronics / Automation / Control / Computer 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.

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 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

Careers

The programme aims at educating a new generation of roboticists required to enable the Industry 4.0 revolution. A recent McKinsey Global Institute study predicts that the total number of jobs related to developing and deploying new technologies, automation-, IT-/AI-, and robotics-related applications, could potentially increase to between 20 and 50 million globally by 2030.

It is reported that as many as 375 million workers will have to learn new skills as their current jobs change due to automation, robotics and AI. (McKinsey Global Institute, “Jobs lost, jobs gained: workforce transitions in a time of automation,” December 2017)

This programme aims to shape candidates suitable for employment in a wide range of roles. Graduates from this programme can pursue relevant specialist roles enabling industrial automation research, development and deployment. Some students will also pursue further education via the PhD route.

Our Experts

Other Experts
Maria Elena Giannaccini
Dr Andrew Starkey
Programme Coordinator
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