MSc in Autonomous Robotic Intelligent Systems


Program Description

Why this course?

This MSc focuses on state-of-the-art technologies for autonomous control and machine learning with applications in robotics, sensor networks, big data analytics, and autonomous agents.

Emphasis is given to topics that support a new emerging generation of self-sustaining and intelligent devices created for the Internet of Things, Ubiquitous Computing, and Industry 4.0 environments.

This degree is designed to provide a wide-ranging background in autonomous technologies that can be applied in a variety of disciplines.

In addition to traditional technologies related to robotics, embedded systems, design, and control, students will be exposed to system-level design methods and state-of-the-art theory behind some of the newest and most promising fields of artificial intelligence.

Applications include autonomous mobile systems, digital manufacturing, Big Data analytics, Internet of things device engineering, and artificial intelligence programming.

The MSc is delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacture & Engineering Management.

This ensures you have access to academic leaders in the fields of machine learning, autonomous systems, digital manufacturing and design engineering.

You’ll study

You’ll take two semesters of compulsory and optional taught classes. These are followed by a three-month research project in your chosen area. Opportunities exist to do the project through the departments' competitive MSc industrial internships.

The internships are offered in collaboration with selected department industry partners. You’ll address real-world engineering challenges facing the partner, with site visits, access, and provision of relevant technical data and/or facilities provided, along with an industry mentor and academic supervisor.

Industry engagement

Interaction with industry is provided through our internships, teaching seminars and networking events. The departments deliver monthly seminars to support students’ learning and career development.

Xilinx, Texas Instruments, MathWorks, and Leonardo are just a few examples of the industry partners you can engage with during your programme of study.


We have a wide range of excellent teaching spaces including interactive flexible learning spaces, and state-of-the-art facilities. Our Technology and Innovation Centre (TIC) is home to a number of world-class labs where students will have an opportunity to undertake research projects in relevant areas. The University is also home to some key and relevant industry engagement research centers, including:

  • Advanced Forming Research Centre
  • Space Mechatronic Systems Technology Laboratory (SMeSTech)
  • Hyperspectral Imaging Centre
  • Centre for White Space Communications Facility

Course content

Compulsory classes

  • Autonomous Sensing, Learning, & Reasoning
  • Digital Manufacturing Concepts
  • Manufacturing Automation
  • Design for Industry 4 & Smart Products
  • Mechatronic Systems Design Techniques
  • Robotics: Systems & Control
  • Assignment & Professional Studies

Elective classes

  • Strategic Technology Management
  • Product Modelling & Visualisation
  • Design Methods
  • Systems Thinking & Modelling
  • Micro- & Nano-Manufacturing
  • Advanced Forming Technology Systems
  • Advanced Materials & Production Technology
  • Advanced Microcontroller Applications
  • Image & Video Processing
  • Control Principles
  • Advanced Digital Signal Processing
  • Embedded Systems Design
  • Design Management
  • Knowledge Engineering & Management For Engineers

Summer (June to September)

  • MSc Research Project / Internship

Learning & teaching

We use a blend of teaching and learning methods including interactive lectures, problem-solving tutorials, and practical project-based laboratories.

Our technical and experimental officers are available to support and guide you on an individual subject material. Each module comprises approximately five hours of direct teaching per week.

To enhance your understanding of the technical and theoretical topics covered in these, you're expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.

The teaching and learning methods used to ensure you'll develop not only technical engineering expertise but also communications, project management, and leadership skills.


A variety of assessment techniques are used throughout the course. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.

Assessment of the summer research project consists of four elements, with individual criteria:

  1. Interim report (10%, 1,500 to 3,000 words) – The purpose of this report is to provide a mechanism for supervisors to provide valuable feedback on the project’s objectives and direction.
  2. Poster Presentation (15%) – A vital skill of an engineer is the ability to describe their work to others and respond to requests for information. The poster presentation is designed to give you an opportunity to practice that.
  3. Final report (55%) – This assesses the communication of project objectives and context, accuracy and relevance of background material, description of practical work and results, depth and soundness of discussion and conclusions, level of engineering achievement and the quality of the report’s presentation.
  4. Conduct (20%) - Independent study, project and time management are key features of university learning. The level of your initiative & independent thinking and technical understanding are assessed through project meetings with your supervisor and your written logbooks.

Entry requirements

A first or good second-class UK Honours degree or equivalent overseas qualification in electronic, electrical, communications or design manufacture engineering, or a science-related subject from a recognized academic institution.

Candidates whose first language is not English or who have not undertaken their undergraduate course in the UK must possess a recent UKBA-recognised English qualification.

Pre-Masters preparation course

The Pre-Masters Programme is a preparation course for international students (non-EU/UK) who do not meet the entry requirements for a Masters degree at University of Strathclyde. The Pre-Masters programme provides progression to a number of degree options.

To find out more about the courses and opportunities on offer, visit International Study Centre and discuss your education future. You can also complete the online application form. To ask a question please fill in the inquiry form and talk to one of our multi-lingual Student Enrolment Advisers today.


Job titles include:

  • Graduate controls engineer
  • Graduate software engineer
  • Lecturer
  • Roboticist
  • Data analytics programmer

Employers include:

  • Xilinx
  • Texas Instruments
  • MathWorks
  • Leonardo
  • Siemens
  • Jaguar/Land Rover
Last updated Mar 2018

About the School

Our Faculty of Engineering is the biggest in Scotland. We're also one of the largest, best equipped engineering faculties in the UK.

Our Faculty of Engineering is the biggest in Scotland. We're also one of the largest, best equipped engineering faculties in the UK. Read less
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