Robotics and Autonomous Systems (MSc)

Award
Master of Science
Typical Offer
2:1 degree View full entry requirements
Duration
1 year years
Course Type
Full-time
Campus
Highfield and Boldrewood
Next course starts
September 2026

About this course

On our robotics and autonomous systems master's programme, you'll build a comprehensive foundation of knowledge in the key principles and practical applications of intelligent robotic systems.

You'll develop the specialist knowledge and technical skills required to design, build, and deploy robotics and autonomous systems across a wide range of sectors.

During your time on our MSc Robotics and Autonomous Systems course, you'll study core modules in:

  • robotics fundamentals
  • modelling and dynamics
  • sensing and data interpretation
  • planning and control

You'll also explore the societal, ethical, and regulatory dimensions of robotics, and gain hands-on experience with real robotic systems through structured laboratory work and group design challenges.

Through optional modules, you may then be able to tailor your learning to areas of interest such as:

  • advanced control
  • application domains
  • computer vision
  • machine learning
  • maritime robotics

As part of this course, you'll complete an individual research project, under the supervision of an academic aligned with your interests. Many projects will be industry-informed, meaning you'll apply your knowledge to real-world challenges and strengthen your professional and research skills.

This course has been designed to accommodate students from a range of academic and professional backgrounds who wish to specialise in robotics and autonomous systems, including those looking to reskill or change careers.

With your master's in robotics and autonomous systems, you'll be prepared for a career in the fast-evolving fields of robotics, automation, AI and intelligent systems development across a range of industries.

As well as equipping you with advanced technical expertise, practical experience and professional recognition, our MSc Robotics and Autonomous Systems programme also provides a strong foundation for you to progress your studies to doctoral level.

Flexible study

If you prefer, you can apply to study this course as:

  • a Postgraduate Certificate (PGCert) - you'll usually study for around 15 weeks and will not need to complete a research project.

  • a Postgraduate Diploma (PGDip) - you'll usually study for around 30 weeks and will not need to complete a research project.

Your modules and fees may vary if you choose a different study option.

We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.

Our courses are regulated in England by the Office for Students (OfS).

Course lead

This course is co-led by Professor Blair Thornton, Professor of Marine Autonomy, and Dr Christine Evers, Associate Professor in Computer Science.

Blair previously held an EPSRC Innovation Fellowship for robotics and artificial intelligence systems for ocean research. His research interests include:

  • robotics
  • seafloor 3D visual reconstruction
  • automated interpretation of data
  • in-situ sensing technologies

Visit Blair's staff profile for more information.

Christine has also previously held an EPRSC Fellowship to advance her work on acoustic signal processing and scene analysis for socially assistive robots. Her research interests include:

  • machine listening
  • robot audition
  • Bayesian inference

Visit Christine's staff profile for more information.

Course locations

This course is based at Highfield and Boldrewood.

Awarding body

This qualification is awarded by the University of Southampton.

Download the Course Description Document

The Course Description Document details your course overview, your course structure and how your course is taught and assessed.