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Robotics and Autonomous Systems (with an industrial placement year) MSc

Robotics and Autonomous Systems (with an industrial placement year) MSc

Key information

Qualification type

MSc - Master of Science

Subject areas

Computer Cybernetics

Course type


Course Summary

The world of robotics is exciting and fast paced - revolutionising the way we live, work and play. This course is for you if you are a non-engineering graduate wishing to work for engineering companies. This MSc with an industrial placement will give you the skills needed to work for employers developing or applying: devices or systems for robotics and automation; smart systems with autonomous capability; ubiquitous and wearable computing. You build on your individual responsibility, critical awareness and creative thinking, and examine issues such as: project management, planning and scheduling; resourcing; documentation and communication. Modules are assessed via: hands-on projects; reports and essays; unseen examinations. The project is assessed by a report, presentation and dissertation. For your placement, you work in an industrial setting for at least 40 weeks, making your MSc a two-year course (full time). An MSc in Robotics and Autonomous Systems could be your passport to a career in a wide range of established and rapidly developing areas that are changing our lives including: smart technologies; driverless vehicles; vehicle design; renewable energies; film and television; car production; space or underwater exploration; commercialised agriculture; medical diagnosis; remote and minimally invasive surgery; crime prevention.

Different course options

Full time | University of Sussex | 2 years | SEP

Study mode

Full time


2 years

Start date



This module offers an introduction to control systems, mathematical modelling and system identification, feedback control, and commonly used controllers (i.e. PID control), the study of sensors and actuators and their role in control systems. It prepares students to use software commonly used for control in industrial applications (Matlab, Simulink, and Labview), and it will use these computational tools in practical applications. Additionally it introduces concepts from control logic and state machines which could be used in future modules or projects.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


Entry requirements

Students should normally have a lower second-class (2.2) undergraduate honours degree or above. Students are suited to this course if they are a non-engineering graduate and their degree-level qualification is in a subject including or related to mathematics, physics, biology, chemistry, agricultural engineering, and a subject with a high analytical content such as economics, experimental psychology, and physical geography. Other professional qualifications or experience of equivalent standing will also be considered.