Robotics Engineering (MSc)

1 Years On Campus Masters Program

Liverpool Hope University

Program Overview

The MSc in Robotics Engineering provides advanced training in designing, building and programming robotic and autonomous systems. It suits students from engineering, computing or related technical backgrounds who want careers in robotics, automation, intelligent systems or research.

Curriculum Structure

Full-time, 1 Year

Students begin with core modules such as Embedded Systems, Sensors and Actuators, Robotics and Autonomous Systems, and Digital System Design, gaining foundations in robot hardware, electronics and control.
They then progress to advanced topics like Robot Navigation and Control, Machine Learning for Robotics, and IoT and Connected Robotics, learning to build intelligent, adaptive and network-enabled robots.
The course concludes with a Major Project / Dissertation, where students design and implement a complete robotic or autonomous system, integrating hardware, software and control algorithms.

Focus areas: “Embedded systems; sensors & actuators; robotics control; autonomous navigation; machine learning for robotics; IoT connectivity; robotic system integration; applied project.”

Learning outcomes: “Design and integrate robotic hardware and control systems; apply AI/ML to autonomous behaviour; build connected robotic systems; complete an end-to-end robotics project.”

Professional alignment (accreditation): Designed to meet industry needs in robotics and automation, preparing graduates for roles such as robotics engineer, automation specialist, control-systems developer and R&D engineer.

Reputation (employability rankings): Robotics and automation are high-growth fields, and graduates from this programme are well regarded for strong technical and project-based skills relevant to modern robotics industries.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Robotics Engineering at Liverpool Hope University provides practical skills in designing, programming, and integrating robotic and autonomous systems. Students gain hands-on experience by applying engineering principles to build and test robotic solutions in dedicated laboratory spaces.

Key experiential components:

Software & Tools: Programming and simulation using platforms such as ROS (Robot Operating System), Python, C++, and simulation environments for modelling robotic kinematics, dynamics, and control systems.
Dedicated Laboratory: Access to Liverpool Hope's Robotics and Automation Lab, equipped with robotic manipulators, mobile robots, sensor suites, and embedded systems for practical assembly, programming, and testing.
Group Projects: Collaborative robotics engineering projects, where student teams design and implement a complete robotic system or a significant subsystem to perform a defined autonomous task or solve a specific engineering challenge.
Applied Research Project: The programme culminates in a major individual dissertation project, typically involving the design, construction, and evaluation of a robotic prototype or an in-depth investigation into a specific aspect of robotics technology.

Progression & Future Opportunities

Graduates of Liverpool Hope University's MSc Robotics Engineering secure highly employable roles as robotics engineers, embedded systems developers, AI robotics specialists, and automation engineers at organisations like Airbus, Barclays, Oracle, IBM, and Unilever across manufacturing, aerospace, defence, and tech sectors:

Careers Service offers CV workshops, interview coaching, graduate development programmes, and lifelong alumni support for up to 3 years post-graduation.
Impressive employment record with key skills in high demand; competitive salaries reflecting rapid robotics industry growth.
Industry links with Microsoft and Barclays enable projects, placements, and real-world applications in robotics/AI.
Cutting-edge skills in sensors, actuators, and IoT support certifications for senior engineering leadership.
Strong outcomes in product development, research, biomedical robotics, or industrial automation.

Further Academic Progression: Graduates can pursue PhD in robotics, AI, or mechatronics at Liverpool Hope/other institutions, extending dissertation research on robot navigation, embedded systems, or virtual reality applications into advanced innovation.

Additional Information & Requirements

A minimum of a Second-Class Honours degree in a relevant discipline (e.g. Computer Science, Computing, Science, or engineering-based) awarded by a UK university, or an equivalent higher education qualification.

China- A good honours degree with 70-75%

India- A good undergraduate degree. 50-59% (or a CGPA of 5.0-5.9/10 or 2.0-2.9/4.0).

USA- Normally a first or second class degree from a recognised American University. GPA of 2.5-2.9/4.0.

IELTS 6.0 overall with 5.5 minimum of all components

TOEFL: 67 - 80 overall Listening: 16-18 Reading: 16 - 18 Writing: 19 - 22 Speaking: 19 - 21

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