Cyber Physical Systems (MSc)

by University of Nottingham Claim Listing

During the second year, you will undertake an individual research project. This could be software-based or research-based. Collaboration with business, industry, and other outside bodies is encouraged.

£8967

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img Duration

2 Years

Course Details

During the second year, you will undertake an individual research project. This could be software-based or research-based. Collaboration with business, industry, and other outside bodies is encouraged. 

The benefit of a two-years masters is that you can build the foundation of your knowledge in year one then use your skills for a year-long practical or research project. This course is linked to the school’s research groups. Our broad research means we can offer a variety of projects across the spectrum of computer science and cyber physical systems.

Cyber physical systems integrate computation with physical objects and processes. Examples of cyber physical systems are:

  • Smart devices in the home such as a smart meter or fridge
  • Voice assistant devices
  • Driverless vehicles
  • Medical monitoring equipment 
  • Wearable devices
  • Robotic assistants

Our course is designed for students with a background in computer science or a related field with analytical skills. You'll learn the principles of integrated system design and computational and cyber physical systems methods and tools. 

The key topics covered will include:

  • Artificial intelligence
  • Robotics
  • Cyber security
  • modelling and simulation
  • Ethical design
  • Interactive systems

Year 1
Core modules

  • Autonomous Robotic Systems 20 credits
  • Designing Sensor-Based Systems 20 credits
  • Research Methods 20 credits

Optional modules

  • Linear and Discrete Optimisation 20 credits
  • Advanced Computer Networks 20 credits
  • Advanced Algorithms and Data Structures 10 credits
  • Project in Advanced Algorithms and Data Structures 10 credits
  • Data Science with Machine Learning 20 credits
  • Handling Uncertainty with Fuzzy Sets and Fuzzy Systems 20 credits
  • Simulation and Optimisation for Decision Support 20 credits
  • Mixed Reality Technologies 20 credits
  • Games 20 credits
  • Big Data Learning and Technologies 20 credits
  • Cyber Security 10 credits
  • Malware Analysis 10 credits
  • Topical Trends in Cyber Security 10 credits
  • Machine Learning

Year 2
Core modules

  • Enhanced MSc Research Project and Dissertation in Cyber Physical Systems

Graduate destinations

  • The fourth industrial revolution is coming. Artificial intelligence, machine learning and cyber physical systems are all changing how we live and work.

With the skills gained from this degree, you could be developing the technology of the future. Careers could be in:

  • Cyber security
  • Financial technology (fintech)
  • Networked systems
  • Robotics and autonomous systems
  • Smart product and service design and development
  • Artificial intelligence engineering
  • You may choose to continue your research in this area with a PhD. 

Our graduates have lots of great job opportunities. Computer science-related skills make up 4 of the top 5 'most in demand skills for employers in 2020’ according to LinkedIn. 

Career progression

  • 100% of postgraduate taught students from the School of Computer Science secured graduate level employment or further graduate study within 15 months of graduation. The average annual salary for these graduates was £30,100*
  • HESA Graduate Outcomes 2019/20 data published in 2022. The Graduate Outcomes % is derived using The Guardian University Guide methodology. The average annual salary is based on graduates working full-time, postgraduate, home graduates within the UK.
  • Nottingham Branch

    University Park Nottingham, Nottingham

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