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The MSc Robotics and Artificial Intelligence at University of Lincoln develops advanced skills in robotics, AI, perception, and intelligent systems — preparing students to work on robot-based automation, AI-driven solutions in sectors like manufacturing, agriculture, healthcare, or to go into research. It suits those with a background in computer science, engineering, or a related numerate discipline who want to specialise in combining robotics hardware with AI and machine learning.
Curriculum Structure
During the programme students take modules such as Foundations of Robotics, Advanced Robotics, Advanced Artificial Intelligence, Advanced Machine Learning, Computer Vision, Robot Programming, and Research Methods. Through Foundations of Robotics they learn about dynamics, kinematics, sensors, actuators and the mathematics underlying robot motion and control. In Computer Vision they study image/video processing, object recognition and visual perceptual algorithms — key for robots and autonomous systems that sense the world. Advanced Machine Learning and Advanced Artificial Intelligence cover supervised, unsupervised, reinforcement and probabilistic methods, enabling students to build learning-based and adaptive AI agents. Towards the end, students complete a Research Project (Dissertation) — an independent, substantial piece of work where they apply robotics and AI knowledge to a real-world or research problem, integrating programming, control, perception and learning.
Focus areas:
“robotics fundamentals, robot programming, AI & machine learning, computer vision, autonomous systems, research in robotics & AI”
Learning outcomes:
“Design and program robotic systems; implement perception algorithms with computer vision; apply machine learning and AI to autonomous agents; integrate hardware, software and AI; conduct independent robotics-AI research project; prepare for R&D or industry roles in robotics/AI”
Professional alignment (accreditation):
This degree aligns with industry demand for robotics and AI engineers — equipping graduates with both hardware-oriented robotics expertise and AI/ML-based intelligent systems design, suitable for jobs in automation, robotics development, AI startups, research labs or industrial R&D.
Reputation (employability rankings / stat):
The University of Lincoln is known for strong research in robotics and autonomous systems (via its Lincoln Centre for Autonomous Systems), and this MSc is designed to reflect current industry-level robotics and AI practice — offering graduates high employability potential in global robotics, automation and AI sectors.
Students gain practical skills through hands-on projects in Lincoln's dedicated robotics laboratories, designing, building, and programming autonomous systems using industrial-grade robotic platforms. The programme emphasizes system integration, from perception and control to planning and navigation, using the university's specialized robotics infrastructure. This applied learning is structured around several key components:
Core Software & Programming: Intensive use of C++, Python, and ROS (Robot Operating System) for developing robotic software architectures and algorithms.
Laboratory Facilities: Access to dedicated robotics labs equipped with mobile robots, robotic manipulators, and sensing systems for autonomous navigation and manipulation.
Robotic Platforms: Hands-on experience with a range of platforms, from TurtleBot and Pioneer mobile robots to industrial robotic arms.
Research Project: A substantial individual research dissertation focused on developing novel solutions in robotics and autonomy.
Group Projects: Team-based projects designing and implementing complete robotic systems for specific tasks.
Research Centres: Strong connection to Lincoln's Centre for Autonomous Systems (CAS) and the Lincoln Institute for Agri-Food Technology (LIAT), providing real-world application domains like agricultural robotics.
Graduates of the MSc Robotics and Autonomous Systems at University of Lincoln gain strong skills for careers as robotics engineers, automation specialists, research scientists, and AI developers:
The university’s Careers Service offers CV workshops, interview preparation, and industry networking focused on robotics and AI roles.
Graduates find employment in manufacturing, healthcare, agriculture, and technology sectors, with salaries typically £30,000–£50,000.
Partnerships with local companies and the Lincoln Centre for Autonomous Systems provide hands-on projects and R&D opportunities.
The program covers advanced AI, machine learning, robot control, and autonomous navigation, ensuring long-term career adaptability.
Graduates engage in research-driven projects with opportunities for academic publication, enhancing employability.
Further Academic Progression: Graduates can pursue PhDs in robotics, AI, or autonomous systems to specialize further for academic or high-level industry roles
A first or upper second class honours degree in computer science or a related discipline. This could include engineering, mathematics, or other numerate science and technology subjects.India- Bachelor degree with minimum 60% or CGPA 6.0USA- Bachelor's degree from a recognised institution with a minimum GPA of 3.2/4.0 GPA IELTS 6.0 overall, with a minimum of 5.5 in each element.TOEFL- 79 overall Reading: 18 Listening: 17 Speaking: 20 Writing: 20Computer Vision EngineerRobotics EngineerMachine Learning EngineerAutonomous Systems DeveloperResearch ScientistImaging Algorithm DeveloperAI SpecialistSoftware Engineer (Vision)PhD ResearcherIndustrial Automation EngineerSensing Systems AnalystMedical Imaging Specialist
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University of Lincoln
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