BEng Hons Computer Systems Engineering and Robotics

3 Years On Campus Bachelors Program

London Metropolitan University

Program Overview

Computer Systems Engineering and Robotics, BEng (Hons) at London Metropolitan University is a three-year, full-time degree offered by the School of Computing and Digital Media. It merges embedded systems engineering with robotics and intelligent systems design, emphasizing practical, hands-on learning using state-of-the-art labs for electronics, CAD, embedded, opto-electronics, and communications technologies. The course equips you with microprocessor-based design, networked systems engineering, and robotics expertise—supported through real-world learning contexts like the work-related learning module.

Year 1:
Your first year lays the foundation with core modules in Computer Hardware and Software Architectures, Electronics Systems, Logic and Mathematical Techniques, and Programming. Through these, you develop foundational knowledge of how computing systems are structured, practical electronics, mathematical approaches to engineering, and basic programming proficiency.

Year 2:
In your second year, the curriculum expands into more specialized areas such as Advanced Electronics Systems, Databases, Microprocessors & Embedded Systems, Network Operating Systems, Work Related Learning, Data Structures and Specialist Programming, and Network Engineering. This year blends embedded microcontroller programming, network systems, software development, and professional experience through a practical work-related learning module.

Year 3:
Your final year specializes in advanced robotics, systems, and applications. Core modules include Applied Robotics, Computer Vision, Digital Systems Applications, IoT Systems and Security, and a major Project. You then choose additional topics such as Broadband Systems 1 & 2, Distributed, Cloud and IoT Systems, Ethical Hacking, Mobile Applications, Network Security (CISCO), and Wireless Networks (Cisco)—offering a wide spectrum of skills tailored to emerging engineering and computing domains.

Focus areas:
Embedded systems, robotics, electronics, microprocessor design, network systems, IoT, computer vision, and secure systems—all supported by immersive lab work.

Learning outcomes:
Graduates gain practical and theoretical skills to design, develop, and program intelligent embedded systems, implement robotic and IoT applications, analyze networked environments, and undertake substantial independent engineering projects.

Professional alignment (accreditation)
This program is accredited by the Institution of Engineering and Technology (IET)—ensuring it meets professional engineering education standards and enhances your employability and registration prospects.

Reputation (Employability & Rankings)

  • Ranked 1st in the UK for student satisfaction in Electrical and Electronic Engineering by the Complete University Guide 2025.
  • The course is highly practical, supported by specialist labs in CAD, embedded systems, electronics, microwave/satellite comms, and opto-electronics—giving you invaluable hands-on experience.
  • Showcases of student work—like cybernetic hands, quadcopters, and IoT systems—highlight the creativity and real-world relevance of final-year projects.

Experiential Learning (Research, Projects, Internships etc.)

At London Met, you won't just be learning theory; you'll be applying it from day one in our state-of-the-art facilities. Our course is built around doing. You'll get hands-on with the same advanced technology used by professionals, designing and building intelligent systems and robots in our superbly equipped labs. This practical approach is central to your learning, ensuring you graduate with a portfolio of real, working projects and the confidence to tackle complex engineering challenges. Our focus is on giving you the tools to bring your ideas to life:

Experiental Learning Highlights:

  • Specialist Laboratories: You'll have access to our incredible Rapid Prototyping and Manufacturing Lab, equipped with 3D printers and laser cutters to bring your robotic parts to life, and our Electrical and Electronic Engineering labs with industry-standard oscilloscopes, microcontrollers, and development boards for building and testing circuits.
  • Industry-Standard Software: Master the essential software tools, including MATLAB and Simulink for complex system design, simulation, and data analysis, and SolidWorks for precision 3D CAD modelling of your robotic designs.
  • Practical Project Work: Apply your skills through substantial group projects, like designing and programming autonomous robots to complete specific tasks, fostering crucial teamwork and project management skills.
  • Digital Tools and Programming: Gain proficiency in programming languages critical to the field, such as Python and C/C++, and work with embedded systems and IoT platforms to create smart, connected devices.
  • Final Year Capstone Project: Undertake a significant individual project where you'll tackle a real-world problem, conducting research, designing a solution, and building a fully functional system from the ground up—a huge highlight for your CV.
  • Dedicated Learning Resources: You’ll be supported by our Science Centre Library and its extensive collection of technical journals, e-books, and specialist engineering databases, alongside our Cisco networking academy.

Progression & Future Opportunities

Graduates of London Metropolitan University's BEng (Hons) Computer Systems Engineering and Robotics are highly employable, moving into roles such as robotics engineer, automation systems designer, embedded systems developer, control systems specialist, and IoT solutions engineer. Many alumni also pursue further study in robotics, artificial intelligence, computer engineering, or related fields, or work in sectors including manufacturing, automotive, aerospace, and smart technologies.

Here's how London Met specifically supports your future:

Career Services & Experiential Learning:
The program offers opportunities for work placements, allowing students to gain professional experience in the robotics and automation industry. You'll learn through a combination of lectures, laboratory practical sessions, hands-on robotics projects, and individual research, with a strong emphasis on practical skills in both hardware integration and software development for robotic systems. The University's Career and Employability team provides dedicated support including placement assistance, industry networking events, and career development workshops from your first year.

Industry Partnerships & Research:
The School of Computing and Digital Media has strong industry links and specialized facilities, including robotics laboratories, automation suites, and embedded systems development environments. Students benefit from industry-informed teaching in areas such as robotic systems design, artificial intelligence, sensor integration, and autonomous systems. The curriculum is designed with employer input, ensuring graduates develop the specialized skills in robotics programming, control systems, and hardware integration that are valued across the automation industry.

Graduate Outcomes:
Students graduate with a robust skill set in robotic systems design, programming, control engineering, and project management, backed by practical experience from laboratory work and industry-themed projects. These competencies are highly sought after in the growing field of automation and robotics.

Further Academic Progression:
After your BEng (Hons) at London Met, you can pursue a master's in specialized areas such as advanced robotics or artificial intelligence, or enter professional roles in robotics design, automation engineering, or technical consultancy, supported by the program's industry connections and practical focus.

Program Key Stats

£19,500
Sept Intake : 14th Jan


Eligibility Criteria

CCD
2.8
26 - 28
60

1100
22
6.0
72

Additional Information & Requirements

Career Options

  • Robotics Engineer
  • Automation Engineer
  • Embedded Systems Engineer
  • Control Systems Engineer
  • Robotics Software Developer
  • AI/ML Engineer (Robotics Focus)
  • Robotics Technician
  • Computer Vision Engineer
  • Mechatronics Engineer
  • Autonomous Systems Developer 

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