The MSc Robotics and Artificial Intelligence is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global industry in Robotics and Autonomous Systems (RAS), and across many other sectors where RAS skills are applicable. These may include robotics and automation in agriculture, food processing, transport, logistics, manufacturing, healthcare, and energy.
The MSc ranges from mechatronics through programming and algorithms for robot control and automation with AI, including details of modern deep learning and large language models (i.e. how chatbots such as ChatGPT work) as well as classical and probabilistic AI approaches to robotics perception and navigation. Industry standard tools such as Python, ROS2, and PyTorch are used throughout.
The programme aims to prepare students to work in a research and development capacity, such as in industrial robotics and AI companies and academic PhD study. Lincoln hosts the UK's - and one of the world's - largest concentration of agricultural robotics researchers, and is a major hub of UK agribusiness. Many students choose to specialise in this area, including by collaborating with local companies who have existing R&D relationships with our research. Course content is informed by research carried out at the University of Lincoln, especially in the Lincoln Centre for Autonomous Systems. This aims to ensure that content remains consistently underpinned by the latest thinking.
The programme is an extension Master's. It assumes that students will have already completed a computer science or similar technology-based degree, and will want to extend that knowledge in depth and with specialist focus on Robotics and Autonomous Systems. Students have the chance to enhance and apply existing knowledge of computer programming and mathematical frameworks through laboratory workshops, lectures, debates, and independent research. The course assumes a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain.
The MSc Robotics and Autonomous Systems is designed to equip students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global industry in Robotics and Autonomous Systems (RAS), and across many other sectors where RAS skills are applicable. These may include robotics and automation in agriculture, food processing, transport, logistics, manufacturing, healthcare, and energy.
The MSc ranges from mechatronics through programming and algorithms for robot control and automation with AI, including details of modern deep learning and large language models (i.e. how chatbots such as ChatGPT work) as well as classical and probabilistic AI approaches to robotics perception and navigation. Industry standard tools such as Python, ROS2, and PyTorch are used throughout.
The programme aims to prepare students to continue their study in a research capacity, allowing them to further specialise and focus their interests. Lincoln hosts the UK's - and one of the world's - largest concentration of agricultural robotics researchers, and is a major hub of UK agribusiness. Many though not all students choose to specialise in this area, including by collaborating with local companies who have existing R&D relationships with our research. Course content is informed by research carried out at the University of Lincoln, especially in the Lincoln Centre for Autonomous Systems. This aims to ensure that content remains consistently underpinned by the latest thinking.
The programme is an extension Master's. It assumes that students will have already completed a computer science or similar technology-based degree, and will want to extend that knowledge in depth and with specialist focus on Robotics and Autonomous Systems (RAS). Students have the chance to enhance and apply existing knowledge of computer programming and mathematical frameworks through laboratory workshops, lectures, debates, and independent research. The course assumes a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain.
Extend your existing knowledge through this extension Master's
Develop advanced knowledge and skills needed to develop innovative solutions
Informed by the research of academic teams at Lincoln
Complete an independent research project in a specialist area
Students on this programme can experience a blend of different teaching and learning approaches. The programme aims to enable the development of skills through practical workshops in the laboratory, and academic knowledge through debate, lectures, discussion, and personal research.
Modules assume a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain. Each module typically consists of 12 weeks of study. This time includes a supporting lecture programme, a series of supported laboratory sessions, and time for the completion of assignment exercises and examinations. Weekly contact hours on this programme may vary depending on the individual module options chosen and the stage of study. The programme is also supported by online access to lecture material and related information.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in independent study.
Students on this programme can experience a blend of different teaching and learning approaches. The programme aims to enable the development of skills through practical workshops in the laboratory, and academic knowledge through debate, lectures, discussion, and personal research.
Modules assume a familiarity with programming concepts and the supporting mathematical framework, while presenting advanced concepts relating specifically to the computing domain. Each module typically consists of 12 weeks of study. This time includes a supporting lecture programme, a series of supported laboratory sessions, and time for the completion of assignment exercises and examinations. Weekly contact hours on this programme may vary depending on the individual module options chosen and the stage of study. The programme is also supported by online access to lecture material and related information.
Postgraduate level study involves a significant proportion of independent study, exploring the material covered in lectures and seminars. As a general guide, for every hour spent in class, students are expected to spend at least two to three hours in independent study.
† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.
† Some courses may offer optional modules. The availability of optional modules may vary from year to year and will be subject to minimum student numbers being achieved. This means that the availability of specific optional modules cannot be guaranteed. Optional module selection may also be affected by staff availability.
We want you to have all the information you need to make an informed decision on where and what you want to study. In addition to the information provided on this course page, our What You Need to Know page offers explanations on key topics including programme validation/revalidation, additional costs, contact hours, and our return to face-to-face teaching.
We want you to have all the information you need to make an informed decision on where and what you want to study. In addition to the information provided on this course page, our What You Need to Know page offers explanations on key topics including programme validation/revalidation, additional costs, contact hours, and our return to face-to-face teaching.
The programme is assessed through a variety of means, including in-class tests, coursework, projects, and examinations. The majority of assessments are coursework-based, reflecting the practical and applied nature of computer science. The final stage research project enables students to further specialise and complete a piece of work of significant complexity.
The programme is assessed through a variety of means, including in-class tests, coursework, projects, and examinations. The majority of assessments are coursework-based, reflecting the practical and applied nature of computer science. The final stage research project enables students to further specialise and complete a piece of work of significant complexity.
Our MSc students often publish papers for robotics conferences and in journals during their studies, in collaboration with their lecturers and other researchers at Lincoln. This style of learning is known as 'student as producer'.
Here are some recent examples with student names in bold, including links to the PDF publications, and some with video demonstrations. Getting a publication is often a key requirement for obtaining a funded PhD place or industry research and development job.
L Zhou, O Sinavski, A Polydoros. Robotic Learning in your Backyard: A Neural Simulator from Open Source Components. IEEE International Conference on Robotic Computing, 2024.
R Stevenson, D Paparas, O Faris, X Xu, C Merchant, E Smith, B Nicholls, C Fox. Open Source Hardware Whisker Sensor. TAROS2024
L Zhou, O Ali, EA Soumo, E Attenborough, J Swindell, G Davies, C Fox. 3D Printer Based Open Source Calibration Platform for Whisker Sensors. TAROS2024.
A Bora and H Cuayáhuitl. Systematic Analysis of Retrieval-Augmented Generation-Based LLMs for Medical Chatbot Applications. Mach. Learn. Knowl. Extr. 6(4), 2355-2374, 2024.
K Gaikwad, R Soni, C Fox, C Waltham. Open source hardware robotics interfacing board. TAROS2023
R Trimble, C Fox. Skid-steer friction calibration protocol for digital twin creation. TAROS2023
SJ Carter, NC Tsagkopoulos, G Clawson, C Fox. OpenScout: Open Source Hardware Mobile Robot. Journal of Open Hardware 7 (1), 9, 2023. (Video)
F Camara, C Waltham, G Churchill, C Fox. OpenPodcar: an open source vehicle for self-driving car research. Journal of Open Hardware, 2023 (Video)
J Davy, C Fox. Simultaneous Base and Arm Trajectories for Multi-Target Mobile Agri-Robot. TAROS 2023 (Video)
G Clawson. A Technology Readiness Level for Blockchain. Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023
E Alabi, F Camara, C Fox. Evaluation of OSMC open source motor driver for reproducible robotics research. TAROS2023.
Perrett, A., Pollard, H., Barnes, C., Schofield, M., Qie, L., Bosilj, P., & Brown, J. M. (2023). DeepVerge: Classification of roadside verge biodiversity and conservation potential. Computers, Environment and Urban Systems, 102, 101968.
V Wichitwechkarn, C Fox. MACARONS: A Modular and Open-Sourced Automation System for Vertical Farming. Journal of Open Hardware 7 (1), 1-13, 2023 (Video)
G Clawson, C Fox. Blockchain crop assurance and localisation. UKRAS 2022
J Bennett, B Moncur, K Fogarty, G Clawson, and Charles Fox. Towards Open Source Hardware Robotic Woodwind: an Internal Duct Flute Player. ICMC, 2022 (Video)
G Clawson. Sub-SPARC: Investigation of Imperfect Teachers. Proceedings of the 5th UK-RAS Conference 2022
J Stevenson, C Fox. Scaling a hippocampus model with GPU parallelisation and test-driven refactoring. Proc. Biomimetic and Biohybrid Systems (Living Machines) 2022
H Rogers, B Dawson, G Clawson, C Fox. Extending an Open Source Hardware Agri-Robot with Simulation and Plant Re-identification. Oxford AIMS Conference 2021
A Henry, C Fox. Open source hardware automated guitar player ICMC 2021 (Video)
Heiwolt, K, Mandil, W, Cielniak, G and Hanheide, M (2020) Automated Topological Mapping for Agricultural Robots, UKRAS20
H Rogers, C Fox. An open source seeding agri-robot Proceedings of The 3rd UK-RAS Conference, 2020 (Video)
Millard, A, Ravikanna, R, Groß, R, and Chesmore, D (2019) Towards a Swarm Robotic System for Autonomous Cereal Harvesting, TAROS2019.
Robot Whiskers
Our students present an open source hardware (OSH) design and build a robotic whisker sensing system
Hear from Ayaan, a MSc Robotics and Autonomous Systems student about his time on the course and what you can look forward to if you join the programme.
Technical resources for Robotics and Autonomous Systems include research facilities and laboratories, a computer engineering workshop, workstations with flexible development software platforms and equipment. This also includes a fleet of diverse mobile and social robots, advanced compliant robotic manipulators, a swarm of micro-robots, and state-of-the-art agricultural robots.
Postgraduate Application Support
Applying for a postgraduate programme at Lincoln is easy. Find out more about the application process and what you'll need to complete on our How to Apply page. Here, you'll also be able to find out more about the entry requirements we accept and how to contact us for dedicated support during the process.
An informal interview by video call with the Programme Leader may also be required to make sure candidates have the right background for the course. This informal contact may also include requests for samples of self-directed project work involving a significant element of software and/or systems development.
Please note that this course is also available for a January 2025 start. View a full list of courses with January start dates.
There are two requirements and students will need to provide evidence of both of them in their application:
(1) 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.
(2) Competence in computer programming, roughly to the level of being able to write a basic video game such as Pong in any language. Acceptable forms of evidence of this skill to include in your application include, but are not limited to: (a) academic degree transcript showing 2:1 level scores in two or more programming classes; (b) a copy of a university, employment, or hobby project report detailing programming work; (c) a link to a source code site such as gitlab or github containing samples of your code. (d) a certificate of completion of an online programming course and exam such as https://www.udemy.com/course/the-complete-python-developer-certification-course/ or https://www.udemy.com/course/learn-basics-of-c/
If you have a good numerate degree but no programming experience then you may be able to satisfy the requirements by self-studying programming and passing a programming test online, such as through the above links. This may take a few weeks or months of part-time study depending on your previous knowledge. It is quite common for students to apply in this way.
If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages for information on equivalent qualifications:
https://www.lincoln.ac.uk/studywithus/internationalstudents/entryrequirementsandyourcountry/
Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page:
If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-session English and Academic Study Skills courses. These specialist courses are designed to help students meet the English language requirements for their intended programme of study:
Please note that this course is also available for a January 2025 start. View a full list of courses with January start dates.
There are two requirements and students will need to provide evidence of both of them in their application:
(1) 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.
(2) Competence in computer programming, roughly to the level of being able to write a basic video game such as Pong in any language. Acceptable forms of evidence of this skill to include in your application include, but are not limited to: (a) academic degree transcript showing 2:1 level scores in two or more programming classes; (b) a copy of a university, employment, or hobby project report detailing programming work; (c) a link to a source code site such as gitlab or github containing samples of your code. (d) a certificate of completion of an online programming course and exam such as https://www.udemy.com/course/the-complete-python-developer-certification-course/ or https://www.udemy.com/course/learn-basics-of-c/
If you have a good numerate degree but no programming experience then you may be able to satisfy the requirements by self-studying programming and passing a programming test online, such as through the above links. This may take a few weeks or months of part-time study depending on your previous knowledge. It is quite common for students to apply in this way.
If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages for information on equivalent qualifications:
https://www.lincoln.ac.uk/studywithus/internationalstudents/entryrequirementsandyourcountry/
Overseas students will be required to demonstrate English language proficiency equivalent to IELTS 6.0 overall, with a minimum of 5.5 in each element. For information regarding other English language qualifications we accept, please visit the English Requirements page:
If you do not meet the above IELTS requirements, you may be able to take part in one of our Pre-session English and Academic Study Skills courses. These specialist courses are designed to help students meet the English language requirements for their intended programme of study:
You will need to have funding in place for your studies before you arrive at the University. Our fees vary depending on the course, mode of study, and whether you are a UK or international student. You can view the breakdown of fees for this programme below.
The University offers a range of merit-based, subject-specific, and country-focused scholarships for UK and international students. To help support students from outside of the UK, we offer a number of international scholarships which range from £1,000 up to the value of 50 per cent of tuition fees. For full details and information about eligibility, visit our scholarships and bursaries pages.
You will need to have funding in place for your studies before you arrive at the University. Our fees vary depending on the course, mode of study, and whether you are a UK or international student. You can view the breakdown of fees for this programme below.
The University offers a range of merit-based, subject-specific, and country-focused scholarships for UK and international students. To help support students from outside of the UK, we offer a number of international scholarships which range from £1,000 up to the value of 50 per cent of tuition fees. For full details and information about eligibility, visit our scholarships and bursaries pages.
Postgraduate Funding Options
Find out more about the optional available to support your postgraduate study, from Master's Loans to scholarship opportunities. You can also find out more about how to pay your fees and access support from our helpful advisors.
For more information about this course, please contact the Programme Leader.
Dr Charles Fox
chfox@lincoln.ac.uk
To get a real feel for what it is like to study at the University of Lincoln, we hold a number of dedicated postgraduate events and activities throughout the year for you to take part in.
