MSc Robotics with Artificial Intelligence

1 Year On Campus Masters Program

London Metropolitan University

Program Overview

The MSc Robotics with Artificial Intelligence at London Metropolitan University prepares students to design, build, and program intelligent robotic systems by combining robotics hardware, sensors, control systems, and AI/ML software — ideal for those aiming for careers in automation, robotics engineering, autonomous systems or related R&D. It suits graduates from engineering, mechatronics, electronics, computer science or similar backgrounds (or those with relevant experience) who want hands-on, industry-oriented skills in robotics and AI.

Curriculum Structure
Students begin with foundational modules covering Embedded Control Systems, Artificial Intelligence & Machine Learning, and Robotics and Automation — learning how sensors, actuators, control logic and AI algorithms combine to produce autonomous robot behaviour. As the course progresses, modules in Sensor Technologies, Autonomous Systems, and Human-Robot Interaction / Intelligent System Design allow students to explore robot perception, decision-making, environment interaction and real-world deployment challenges. Finally, students complete a significant MSc Project / Dissertation, where they design and implement a robotic/AI solution — integrating hardware, software, AI and system design skills to solve a practical engineering problem.

Focus areas: “embedded control & robotics systems, AI & machine learning, sensor & autonomous system design, human-robot interaction, intelligent automation”

Learning outcomes: “develop and program autonomous robotic systems; apply AI/ML to perception, control and decision-making; integrate sensors, actuators and software; design and execute a full robotics project; prepare for engineering or R&D roles in robotics and AI.”

Professional alignment (accreditation): The programme is designed in line with the guidelines of Institution of Engineering and Technology (IET), giving graduates a path toward Chartered Engineer (CEng) status after gaining appropriate professional experience — aligning academic learning with recognized engineering standards.

Reputation (employability rankings/stat): As robotics and intelligent systems demand grows globally — across manufacturing, autonomous vehicles, healthcare robotics and automation — graduates from this MSc are well-positioned for high-demand roles such as robotics engineer, AI systems developer, control systems designer, or research engineer in emerging tech industries

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills through hands-on projects in the University's robotics laboratory, designing and programming robotic systems using industrial equipment and AI software. This applied learning is central to the curriculum:

Software: Training in Python, C++, and ROS (Robot Operating System) with AI libraries (TensorFlow, PyTorch).
Robotics Laboratory: Access to industrial robotic arms, mobile robots, and sensor systems.
AI Integration: Practical projects combining computer vision, machine learning, and robotic control.
Research Project: An individual dissertation focusing on AI applications in robotics.
Industry-Standard Tools: Use of simulation environments and robotic programming platforms.

Progression & Future Opportunities

Graduates of London Metropolitan University's MSc Robotics with Artificial Intelligence gain hands-on expertise in embedded control systems, machine learning, computer vision, and AI applications for robotics in sectors like manufacturing, healthcare, and autonomous vehicles. The program, supported by research centres in Cyber Security and Intelligent Systems, prepares alumni for innovative roles through practical hardware-software projects and industry-relevant simulations. Typical job roles: robotics engineer, AI systems developer, automation specialist, machine learning engineer.

University services: Careers service provides CV workshops, mock interviews, job fairs, and networking with industry partners.
Employment stats/salary: Median salary £29,000 at 15 months, rising to £32,000 at 5 years; strong demand in tech/engineering.
Partnerships: Collaborations with fintech firms like Lloyds Banking Group, Callsign, Open Banking Inc. for projects.
Accreditation value: Accredited programs enhance employer recognition and career mobility in engineering.
Outcomes: Roles in robotics, AI tech, research; further professional qualifications.

Further Academic Progression: Pursue PhD in robotics, AI, or intelligent systems at London Met, extending MSc project research via dissertation.