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The MSc Cyber Physical Systems integrates computing, robotics, sensors, networks and security to train students on designing, building and evaluating systems that interact with the physical world. It suits those with backgrounds in computer science, engineering, or related technical disciplines who want to work in robotics, IoT, embedded systems, and smart infrastructures.
Curriculum Structure
Students begin with core modules such as Autonomous Robotic Systems, learning about robot control, localisation, sensor fusion and real-world robot hardware, and Designing Sensor-Based Systems, which covers embedded sensors, actuation, and human-computer interaction in physical environments. They also take Research Methods, equipping them with both qualitative and quantitative skills, project planning, literature review, and ethical considerations. In later terms they can choose optional modules such as Advanced Computer Networks, Data Science with Machine Learning, Big Data Learning and Technologies, or Malware Analysis, allowing specialisation in networks, data science, or security within cyber-physical settings. The programme finishes with a substantial Research Project or Dissertation (60 credits in the one-year version; longer in the two-year pathway), where students design and execute their own investigation or implementation with real hardware/software systems.
Focus areas: “Robotics; Sensor Systems; Embedded Systems; Networks & Communications; Machine Learning; Security; Big Data; Research Methods”
Learning outcomes: “Design and build cyber physical systems integrating hardware and software; apply sensor, robotics and network technologies; specialise in machine learning, networks or security; conduct independent research projects; evaluate systems in physical or simulated real-world environments.”
Professional alignment (accreditation): The course includes a pathway recognised by the National Cyber Security Centre (NCSC) as a Certified Degree (Provisional) Incorporating Cyber Security.
Reputation (employability rankings): Nottingham is ranked in the UK top-20 for Computer Science in the Complete University Guide 2026; 98% of the School’s research is rated world-leading or internationally excellent in REF 2021; ~96.4% of graduates are in work or further study within six month
This programme provides hands-on experience in designing and implementing integrated computational and physical processes, moving from theoretical concepts to practical system building. You will develop these skills using the University's specialised laboratories and industry-relevant tools, working with embedded devices, sensors, and networked systems. This practical approach is embedded throughout the curriculum through the following key components:
Specialist CPS and Robotics Laboratories: You will work in the Cyber-Physical Systems Lab and the Tower Building workshop, which are equipped with industrial programmable logic controllers (PLCs), robotic systems like the ABB YuMi, and embedded hardware platforms for developing and testing integrated systems.
Industry-Standard Software and Tools: The curriculum involves practical work with embedded programming in C/C++, real-time operating systems (RTOS), and simulation environments like MATLAB/Simulink for modelling and verifying system behaviour before deployment.
Substantial Individual Project: A core component is a significant summer research project where you will design and implement a complete cyber-physical system, often in collaboration with one of the University's research groups, such as the Intelligent Modelling and Analysis (IMA) Group.
Practical, System-Focused Modules: Courses like "Embedded Systems" and "System Design" are project-based, involving the construction and programming of physical computing systems that integrate sensing, actuation, and communication.
Access to Cutting-Edge Research: The programme is supported by the Nottingham Transportation Engineering Centre (NTEC) and the Power Electronics, Machines and Control (PEMC) Research Group, providing context for real-world applications in autonomous vehicles and smart energy systems.
Graduates of the MSc Cyber Physical Systems at the University of Nottingham achieve excellent career outcomes, often moving into roles such as Robotics Engineer, Embedded Systems Developer, IoT Solutions Architect, and Cybersecurity Specialist. The program's comprehensive curriculum, combining integrated system design, AI, robotics, and cybersecurity, prepares students for impactful roles in technology-driven industries and research environments.
The University offers dedicated Careers and Employability services providing personalized career coaching, industry networking events, targeted internships, and access to the MyCareerHub portal, all tailored for computing and engineering students.
Employment statistics show that 100% of postgraduate taught students in the School of Computer Science secure graduate-level employment or further study within 15 months, with an average annual salary of approximately £30,100 for home graduates.
The program benefits from strong partnerships with industry leaders and research centers, including the CybSec research group focused on cybersecurity in cyber physical systems, contributing to real-world project collaborations.
It holds recognition and provisional certification from the National Cyber Security Centre (NCSC), reinforcing its long-term accreditation value and alignment with UK professional standards.
Graduates enjoy diverse career opportunities across sectors such as smart technologies, autonomous systems, healthcare devices, and industrial automation, supported by the university’s research excellence and employer reputation.
Further Academic Progression:
Students may pursue doctoral studies (PhD) in cyber physical systems, robotics, cybersecurity, or AI, or follow advanced certification and research pathways to deepen expertise in specialized areas such as autonomous robotics, secure IoT, or interactive system design.
2.1 (or international equivalent) in one of the following areas: physics, mathematics, computer science, chemistry, engineering. India- India- Bachelor's degree with minimum 60%. IELTS 6.5 with at least 6.0 in each elementTOEFL: 90 (minimum 19 in writing and listening, 20 in reading and 22 in speaking)USA- USA- Bachelor degree from a recognised institution with GPA 3.2 or above.Embedded Systems ArchitectIoT Solutions EngineerRobotics EngineerAutonomous Systems DeveloperControl Systems EngineerCyber-Physical Security Specialist
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University of Nottingham
