MSc (Eng) Robotics and the Internet of Things

Students on this programme develop hands-on expertise by working directly with advanced robotic platforms, sensor networks, embedded systems, and intelligent control tools used across modern industry. Throughout the degree, they engage in practical workshops, system-building exercises, and lab-based experimentation that mirror real engineering environments. The programme also provides access to specialist research laboratories and the University of Liverpool’s dedicated engineering facilities, allowing students to test, prototype, and refine their ideas using professional-grade equipment.

To support this practical development, the programme integrates project-based learning, teamwork, and applied digital skills training. This creates a learning environment where students can confidently apply theoretical knowledge to complex engineering challenges, and progress toward their final dissertation with strong technical capability.
Here is a smooth transition into the specific experiential opportunities available:

• Access to the Department of Electrical Engineering and Electronics’ specialist laboratories, including robotics labs, embedded systems labs, control engineering facilities, and digital electronics workspaces.

• Hands-on experience using industry-relevant software and tools such as MATLAB, Simulink, ROS (Robot Operating System), Python, C/C++, and hardware platforms including Arduino, Raspberry Pi, and advanced microcontrollers.

• Group design projects where students work collaboratively to develop intelligent robotic or IoT-based systems and present them to academic staff.

• Practical work with sensors, wireless communication systems, actuation technologies, and autonomous control technologies across multiple modules.

• Opportunities to engage with the department’s research groups in robotics, artificial intelligence, wireless communications, and embedded systems.

• Access to the University of Liverpool’s Engineering Building facilities, which include high-spec laboratories, modern study zones, and specialist equipment for prototyping and testing.

• Use of the University library system and digital resources supporting advanced technical research in robotics, IoT, machine intelligence, and communication technologies.

Graduates from this MSc are well-prepared for roles in robotics development, intelligent systems, and IoT-enabled engineering solutions. With a strong focus on applied learning and advanced digital technologies, they enter the workforce equipped to contribute to automation, smart devices, and next-generation connectivity.

Typical Careers Include:

• Robotics Engineer

• IoT Systems Engineer

• Automation and Control Engineer

• Embedded Systems Developer

How the University Supports Employment:

• Career & Employability Service: Provides personalised coaching, CV and cover-letter support, interview practice, and networking opportunities with technology and engineering employers.

• Industry-Focused Project Work: Students undertake practical projects aligned with the needs of robotics, sensor networks, and embedded-systems industries, helping them develop sought-after professional skills.

• Strong Employer Engagement: The university works closely with organisations in automation, robotics manufacturing, embedded technology, and digital innovation, giving students exposure to real-world engineering environments.

• Graduate Visibility: The University of Liverpool is regularly recognised as one of the UK’s most-targeted institutions by major graduate recruiters, enhancing career prospects for engineering graduates.

• Accreditation Value: The programme is structured to support academic requirements for future Chartered Engineer (CEng) progression once professional experience and accreditation criteria are met.

• Graduate Success: Alumni often move into engineering firms, IoT development companies, robotics labs, and digital-technology enterprises focused on connected devices and intelligent automation.

Further Academic Progression:

Graduates may advance to a PhD in Robotics, Internet of Things, Artificial Intelligence, Control Engineering, or Embedded Systems at the University of Liverpool or another research-intensive institution. Others progress into industry-based R&D roles, technical innovation pathways, or long-term professional development toward Chartered Engineer (CEng) status.