Control, Automation and Artificial Intelligence MSc

1 Years On Campus Masters Program

Coventry University London

Program Overview

The MSc Control, Robotics and Intelligent Automation at Coventry University develops advanced skills in control engineering, robotics and intelligent automated systems. It suits engineering, maths or science graduates who want to work with autonomous systems, automation, manufacturing or smart-engineering technologies.

Curriculum Structure:
Students begin with Control System Design, Robotics and Autonomous Systems, Digital Control Implementation, and Data-Driven Modelling, gaining foundations in system control, robot motion, embedded control and modelling of dynamic systems. As they progress, they explore advanced areas such as intelligent automation, adaptive control, optimisation and embedded/real-time system design, applying these to real engineering scenarios. The course concludes with an Individual Project, where students design and implement a control, robotics or automation solution to a practical or research-based problem.

Focus areas: “Control Systems, Robotics, Autonomous Systems, Digital Control, Data-Driven Modelling, Intelligent Automation”

Learning outcomes: “Design and analyse control systems; model and simulate dynamic systems; build robotic and embedded control solutions; apply intelligent automation techniques; complete an independent engineering project.”

Professional alignment (accreditation): Designed to meet industry needs in automotive, aerospace, manufacturing, energy, and automation engineering roles.

Reputation (employability rankings): Coventry University is known for strong industry links and practical engineering programmes, supporting solid employability in robotics, control and automation fields.

Experiential Learning (Research, Projects, Internships etc.)

Students gain practical skills by applying AI and machine learning to solve human-centric challenges, using the University's simulation centre, immersive environments, and computing labs to design and evaluate intelligent systems. This applied learning is central to the curriculum:

Software: Training in Python with key AI libraries (TensorFlow, PyTorch, Scikit-learn) and user research tools.
Simulation Facilities: Access to Coventry's immersive simulation centre for testing AI interactions in realistic scenarios.
Human Factors Projects: Hands-on work designing AI systems with a focus on usability, safety, and user experience.
Research Project: An individual dissertation focusing on the intersection of AI and human-centred design.
Interdisciplinary Approach: Combines AI techniques with psychology and human factors engineering.

Progression & Future Opportunities

Graduates of Coventry University's MSc Control, Robotics and Intelligent Automation develop expertise in advanced control systems, robotics, AI, and intelligent automation to design and optimise processes across manufacturing, healthcare, autonomous vehicles, and industrial operations. The program blends theoretical knowledge with practical labs, industry projects, and professional placements to prepare students for cutting-edge roles in automation and engineering innovation. Typical job roles: robotics engineer, control systems specialist, automation engineer, AI integration consultant.

University services: Dedicated career support including professional placement opportunities, industry networking events, and personalised coaching.
Employment stats/salary: Growing industry demand with competitive salaries in automation, robotics, and AI sectors.
University–industry partnerships: Developed in collaboration with industry experts; active research and consultancy in partnership with leading engineering firms.
Long-term accreditation value: Industry-aligned curriculum ensures graduates are equipped with relevant skills for evolving control and automation challenges.
Graduation outcomes: Careers in engineering firms, manufacturing, autonomous systems companies, and research institutions worldwide.

Further Academic Progression: Pursue PhD in robotics, control systems, or intelligent automation at Coventry, extending MSc project work with expert supervision.

Additional Information & Requirements

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computing, computer science, games technology or cyber security.

India- Students who have passed 3 years BA with an overall score of 60%. Students who have passed the 4 years BE/Btech with 55% overall or higher.

USA- Students who have completed a 4 year Bachelor’s degree with a GPA of 2.6 out of 4.

IELTS: 6.5 overall, with no component lower than 5.5.

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