MSc Robotics and Autonomous Systems Engineering

1 Years On Campus Masters Program

Edinburgh Napier University

Program Overview

The MSc Robotics and Autonomous Systems Engineering at Edinburgh Napier University equips students with the skills to design, build, and control intelligent machines through the integration of hardware, software, and communication systems. It is ideal for graduates in engineering, computing, or physical sciences seeking expertise in robotics, IoT, and autonomous systems for cutting-edge industries.

Curriculum Structure

Core Taught Phase: Students cover fundamental modules such as Automation and Robotics, Wireless Sensors and Mobile Communications, IoT and Autonomous Systems, and Advanced Embedded Systems. They learn to model robotic arms, develop sensor networks, design decision-making systems, and program embedded controllers for real-world applications.
Optional Modules: Students may choose from electives including Human-Robot Interaction, Modelling and Computation for Smart Places, Network Security, Mechatronic Systems, Research Through Design, or Research Skills and Project Management. These allow them to specialise in areas like secure IoT, human-centred robotics, or advanced mechatronics.
Final Project Phase: In the final phase, students undertake an MSc Project, defining a robotics or autonomous systems challenge, conducting research or development, and delivering a working prototype or in-depth analytical report.

Focus Areas

Robotics and automation, embedded control systems, sensor networks and IoT, decision-making in autonomous systems, human-robot interaction, and secure or smart environments.

Learning Outcomes

Graduates will be able to design and program autonomous robots, integrate sensors and communication systems, develop embedded decision-making units, and conduct independent research to deliver innovative robotic solutions.

Professional Alignment (Accreditation)

The programme provides technical skills and interdisciplinary knowledge aligned with the needs of modern robotics, automation, IoT, and autonomous systems industries.

Reputation (Employability / Rankings)

Edinburgh Napier University is recognised for its practical, industry-oriented engineering education, and graduates are well-prepared for careers in robotics, autonomous mobility, manufacturing, and healthcare robotics sectors.

Experiential Learning (Research, Projects, Internships etc.)

This MSc is deeply practical, giving students the chance to build and program real autonomous systems. The course provides access to well-equipped laboratories for robotics, mechatronics, embedded electronics, and wireless sensor systems. Students work on both hardware and software, gaining experience in real-time control, IoT, and intelligent decision-making. Many modules involve group work, and the MSc culminates in a substantial individual project to design, prototype, or simulate a full autonomous system.

Students gain practical experience through:

Lab sessions in robotics, automation, mechatronics, embedded systems, and wireless sensor networks.
Use of industry-level tools and simulators for robot kinematics, control, and motion planning.
Projects involving real and simulated robotic platforms to explore manipulation, navigation, and decision-making.
Design and implementation of IoT-enabled systems, integrating sensors, actuators, and embedded controllers.
Completion of a research or design project, allowing students to address a robotics or autonomy challenge independently.
Assessment via coursework, group work, presentations, and the final project, helping students develop professional communication and teamwork skills.

Key Modules

Core Modules

Automation & Robotics — Kinematics, control of robotic arms, programming of both physical and simulated robots.
Wireless Sensors & Mobile Communications — Design and application of sensor networks, communication protocols for autonomous systems.
IoT & Autonomous Systems — Embedded architecture, intelligent control, and data collection/processing for autonomous robots.
Advanced Embedded Systems — Microcontrollers, real-time processing, sensor-actuator integration, and embedded intelligence.
MSc Project — A personal research or design project for in-depth exploration of a robotics or autonomy problem.

Optional Modules

Human-Robot Interaction — Designing intuitive and safe interfaces between humans and robots.
Modelling & Computation for Smart Places — Computational modeling for autonomous and smart environments.
Network Security — Security in networked autonomous systems, including threat assessment and mitigation.
Research Through Design — Design-led research focusing on practical innovation.
Mechatronic Systems — Integration of mechanical, electronic, and software components to build smart electromechanical systems.
Research Skills & Project Management — Managing technical research, literature review, and complex project planning.

Progression & Future Opportunities

Graduates from this program are prepared for roles in robotics, automation, and autonomous systems development:

University services supporting employment: The Careers and Employability Service offers personalised guidance, industry networking events, internship opportunities, and support for job applications in engineering and technology sectors.
Employment stats and salary figures: Early career salaries typically range from £30,000 to £50,000, with growth potential for specialist engineers and project leaders.
University–industry partnerships: Collaboration with robotics companies, AI research labs, and industrial automation firms provides live projects, placement opportunities, and exposure to emerging technologies.
Long-term accreditation value: The program supports progression toward professional engineering recognition, including Chartered Engineer (CEng) status for eligible graduates.
Graduation outcomes: Alumni often secure positions such as Robotics Engineer, Automation Engineer, Control Systems Engineer, or Autonomous Systems Specialist.

Further Academic Progression:
Graduates can pursue research degrees such as a PhD in Robotics, Autonomous Systems, or Artificial Intelligence, or further specialise with postgraduate certifications in areas like industrial automation, AI robotics, or autonomous vehicle systems.