MSc Robotics and Autonomous Systems

MSc Robotics and Autonomous Systems

The School of Computer Science at the University of Lincoln is home to the Lincoln Centre for Autonomous Systems (L-CAS), one of Europe's leading research groups in Robotics and Autonomous Systems (RAS), and a leading UK centre for research in robotics for agriculture and food production “from farm to fork”.

The Course

The MSc Robotics and Autonomous Systems is designed to equip students with the advanced knowledge and skills to develop the innovative solutions required by the rapidly emerging global industry in Robotics and Autonomous Systems (RAS).

The programme aims to provide the opportunity to enhance and apply students' 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 Course

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 agri-food, automation, industry 4.0, healthcare, logistics, military, nuclear, security, and transport. The programme can also prepare students to continue their study in a research capacity, allowing them to further specialise and focus their interests.

Course content is informed by research carried out at the University of Lincoln, especially in the Lincoln Centre for Autonomous Systems and associated entities, and in RAS and related areas. 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).

The programme gives students 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 University of Lincoln is to launch world's first Centre for Doctoral Training in Agri-Food Robotics in collaboration with the University of Cambridge and the University of East Anglia.

The Engineering and Physical Sciences Research Council (EPSRC) has awarded £6.6m for the new Centre which will see a massive influx of high-level robotics expertise at a vital time for the agri-food industry. The CDT will provide funding and training for at least 50 doctoral students, who will be supported by major industry partners and specialise in areas such as autonomous mobility in challenging environments, the harvesting of agricultural crops, soft robotics for handling delicate food products, and ‘co-bots' for maintaining safe human-robot collaboration and interaction in farms and factories.

Applications for studentships at the Centre for Doctoral Training can be made via: http://apply.agriforwards-cdt.uk

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 consists typically 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 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 in class students are expected to spend at least two - three hours in independent study.

For more detailed information please contact the programme leader.

Advanced Artificial Intelligence (Core)
Find out more

Advanced Artificial Intelligence (Core)

This module aims to cover the theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents.

Search is introduced as a unifying framework for Artificial Intelligence (AI), followed by key topics including blind and informed search algorithms, planning and reasoning, both with certain and uncertain (e.g. probabilistic) knowledge. Practical exercises in AI programming will complement and apply the theoretical knowledge acquired to real-world problems.

Advanced Robotics (Core)
Find out more

Advanced Robotics (Core)

This module focuses on advanced concepts in robotics. Students are introduced to navigation and state estimation for mobile robots and discuss optimality principles and relevant algorithms for path planning, trajectory optimisation and control for robot manipulators. In the second part of the module, there will be a discussion of data-driven approaches that can learn from human teachers and interaction with the environment. To deepen the understanding of the introduced mathematical concepts, practical examples will be discussed in the lectures as well as implemented in the workshops.

Computer Vision (Core)
Find out more

Computer Vision (Core)

This module aims to explore current methodologies in the field of computer vision, covering a range of aspects in capturing, processing, analysing and interpreting rich visual content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in computer vision, equipping them with knowledge in practical depth. The module will also provide the opportunity for training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of computer vision systems.

The module will also cover applications of computer vision in various fields, such as in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems, allowing the students the opportunity to establish a full awareness to the technology advance in this rapidly evolving field.

Foundations of Robotics (Core)
Find out more

Foundations of Robotics (Core)

This module introduces the mathematical and practical foundations of robotics which underlie most advanced systems. Mathematical foundations include relevant engineering mathematics, dynamics and kinematics, probability and elementary control, while practice includes understanding sensors and actuators used in real-world systems.

Frontiers of Robotics Research (Core)
Find out more

Frontiers of Robotics Research (Core)

This module provides an introduction to cutting-edge topics in robotics and autonomous systems research, including both theory and practical applications. The module will follow a research seminar format, involving input from staff across the robotics research team at Lincoln and guest lectures from industry representatives and leading international researchers in the field.

Industrial applications such as robotics for agriculture and food production will naturally be covered as part of this module. Students can further benefit from opportunities to discuss possible research topics with potential project supervisors and clients, and production of a research proposal and literature review leading into the Research Project.

Machine Learning (Core)
Find out more

Machine Learning (Core)

This module aims to cover the theoretical fundamentals and practical application of machine learning algorithms, including supervised, unsupervised, reinforcement and evolutionary learning. Practical programming exercises complement and apply the theoretical knowledge acquired to real-world problems such as data mining.

Research Methods (MSc Computer Science) (Core)
Find out more

Research Methods (MSc Computer Science) (Core)

This module is designed to cover the fundamental skills and background knowledge that students may need to undertake research related to the title of the award being studied, including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations.

Research Project (Core)
Find out more

Research Project (Core)

This module gives students with the opportunity to carry out a significant project, focusing on an area of particular personal and professional interest, through the development of a dissertation and substantive software implementation.

The research project is an individual piece of work, which gives students the chance to apply and integrate elements of study from a range of modules, centred on a specific research question. Students are expected to undertake work that is relevant to the ongoing research in one of the established research centres within the Lincoln School of Computer Science and will work closely under the supervision of a member of that research centre.

Students are required to undertake the development of a software artefact that is non-trivial in scale and goals, and is supported by best-practice application of appropriate theoretical frameworks.

Robot Programming (Core)
Find out more

Robot Programming (Core)

This module focuses on practical and aspects of software development and engineering for robotics. It aims to equip students with an in-depth understanding of the specific programming requirements in the domain, such as (soft-) real time processing, coordination & orchestration of robotics systems and different communication paradigms of integrated robotic systems.

Students can engage in practical assignments, programming robots in simulation and the real world. Different components of robotic systems (examples comprise perception, localisation, path planning, mapping, search & learning) will be taught and appraised, facilitated by lectures and guided learning in workshops. Students have the chance to develop and understanding of the fundamentals of robotic frameworks and middlewares, enabling them to program and orchestrate complex robotic systems in practice.

Students may have the opportunity to work on tasks informed by state-of-the-art robotics research challenges and competitions. Where feasible, students will be given the opportunity to work towards specific tasks in such internationally recognised challenges, with the potential to qualify for participation.

† 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.

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 provides the opportunity to specialise and to complete a piece of work of significant complexity.

Assessment Feedback

The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to you promptly – usually within 15 working days after the submission date.

 2020/21 Entry*
Home/EU £7,700

Home/EU
(including Alumni Scholarship 20% reduction )**

£6,160
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £43 per credit point
 Part-time International £89 per credit point

 

 2019/20 Entry*
Home/EU £7,400

Home/EU
(including Alumni Scholarship 20% reduction )**

£5,920
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £41 per credit point
 Part-time International £89 per credit point

* Academic year September- July
** Subject to eligibility

Loans

A Postgraduate Master's Loan can help with course fees and living costs while you study. Individuals** will be able to borrow up to £10,906 for the purpose of completing an eligible postgraduate Master's qualification. The amount available will depend on the start date of your course.

Scholarships

As a postgraduate student you may be eligible for scholarships in addition to those shown above.

Guidance for Part-time Postgraduate Fees

To complete a standard Master's Taught programme, you must complete 180 credit points.

Full time students will be invoiced for the programme in full upon initial enrolment.

For part-time students, tuition fees are payable each credit point enrolled. To calculate your part-time fees, multiply the part-time fee per credit point by the number of credits you intend to complete within that academic year. This is usually between 60 and 90 credit points per year.

For example, if the fee per credit point for your programme is £49, and you enrol on 60 credits, the tuition fee payable for that academic year will be £2,940.

Fees for enrolment on additional modules

Tuition fees for additional activity are payable by the student/sponsor and charged at the equivalent £ per credit point rate for each module. Additional activity includes:

- Enrolment on modules that are in addition to the validated programme curriculum

- Enrolment on modules that are over and above the full credit diet for the relevant academic year

- Retakes of modules as permitted by the Board of Examiners

Exceptionally tuition fees may not be payable where a student has been granted a retake with approved extenuating circumstances.

For further information and for details about funding your study, scholarships and bursaries, please see our Postgraduate Fees & Funding pages [www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/feesandfunding/].

Other Costs

With regards to text books, the University provides students who enrol with a comprehensive reading list and you will find that our extensive library holds either material or virtual versions of the core texts that you are required to read. However, you may prefer to purchase some of these for yourself and you will be responsible for this cost.

Some courses provide opportunities for you to undertake field work or field trips. Where these are compulsory, the cost for travel and accommodation will be covered by the University and so is included in your fee. Where these are optional, you will normally be required to pay your own transport, accommodation and general living costs.

First or second class honours degree in Computer Science or a related discipline. This could include Engineering, Maths and other Science and Technology subjects involving a significant element of computer programming.

If you have studied outside of the UK, and are unsure whether your qualification meets the above requirements, please visit our country pages https://www.lincoln.ac.uk/home/studywithus/internationalstudents/entryrequirementsandyourcountry/ for information on equivalent qualifications.

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 https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/.

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. https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/pre-sessionalenglishandacademicstudyskills/ . These specialist courses are designed to help students meet the English language requirements for their intended programme of study.

In addition to our relatively broad MSc in Robotics and Autonomous Systems, the University of Lincoln has launched the world's first Centre for Doctoral Training (CDT) in Agri-Food Robotics, in collaboration with the University of Cambridge and the University of East Anglia.

The Engineering and Physical Sciences Research Council (EPSRC) has awarded £6.6 million for the new Centre which will deliver and increased influx robotics expertise at a vital time for the agri-food industry. Over its initial funding lifetime, the CDT will provide funding and training for at least 50 doctoral students, who will be supported by major industry partners and specialise in areas such as autonomous mobility in challenging environments, the harvesting of agricultural crops, soft robotics for handling delicate food products, and ‘co-bots' for maintaining safe human-robot collaboration and interaction in farms and factories.

The CDT supplements our wide-ranging MSc in Robotics and Autonomous Systems by providing a dedicated route leading to further doctoral studies in Agri-Food Robotics.

Applications for studentships at the Centre for Doctoral Training can be made via:

http://apply.agriforwards-cdt.uk

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.

For more detailed information please contact the Programme Leader.

Advanced Artificial Intelligence (Core)
Find out more

Advanced Artificial Intelligence (Core)

This module aims to cover the theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents.

Search is introduced as a unifying framework for Artificial Intelligence (AI), followed by key topics including blind and informed search algorithms, planning and reasoning, both with certain and uncertain (e.g. probabilistic) knowledge. Practical exercises in AI programming will complement and apply the theoretical knowledge acquired to real-world problems.

Advanced Robotics (Core)
Find out more

Advanced Robotics (Core)

This module focuses on advanced concepts in robotics. Students are introduced to navigation and state estimation for mobile robots and discuss optimality principles and relevant algorithms for path planning, trajectory optimisation and control for robot manipulators. In the second part of the module, there will be a discussion of data-driven approaches that can learn from human teachers and interaction with the environment. To deepen the understanding of the introduced mathematical concepts, practical examples will be discussed in the lectures as well as implemented in the workshops.

Computer Vision (Core)
Find out more

Computer Vision (Core)

This module aims to explore current methodologies in the field of computer vision, covering a range of aspects in capturing, processing, analysing and interpreting rich visual content.

The aim is to offer students with a deep understanding and to allow an exposure to the latest developments in computer vision, equipping them with knowledge in practical depth. The module will also provide the opportunity for training in programming skills (e.g. Matlab), tools and methods that are necessary for the implementation of computer vision systems.

The module will also cover applications of computer vision in various fields, such as in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems, allowing the students the opportunity to establish a full awareness to the technology advance in this rapidly evolving field.

Foundations of Robotics (Core)
Find out more

Foundations of Robotics (Core)

This module introduces the mathematical and practical foundations of robotics which underlie most advanced systems. Mathematical foundations include relevant engineering mathematics, dynamics and kinematics, probability and elementary control, while practice includes understanding sensors and actuators used in real-world systems.

Frontiers of Robotics Research (Core)
Find out more

Frontiers of Robotics Research (Core)

This module provides an introduction to cutting-edge topics in robotics and autonomous systems research, including both theory and practical applications. The module will follow a research seminar format, involving input from staff across the robotics research team at Lincoln and guest lectures from industry representatives and leading international researchers in the field.

Industrial applications such as robotics for agriculture and food production will naturally be covered as part of this module. Students can further benefit from opportunities to discuss possible research topics with potential project supervisors and clients, and production of a research proposal and literature review leading into the Research Project.

Machine Learning (Core)
Find out more

Machine Learning (Core)

This module aims to cover the theoretical fundamentals and practical application of machine learning algorithms, including supervised, unsupervised, reinforcement and evolutionary learning. Practical programming exercises complement and apply the theoretical knowledge acquired to real-world problems such as data mining.

Research Methods (MSc Computer Science) (Core)
Find out more

Research Methods (MSc Computer Science) (Core)

This module is designed to cover the fundamental skills and background knowledge that students need to undertake research related to the title of the award being studied, including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations.

Research Project (Core)
Find out more

Research Project (Core)

This module gives students with the opportunity to carry out a significant project, focusing on an area of particular personal and professional interest, through the development of a dissertation and substantive software implementation.

The research project is an individual piece of work, which gives students the chance to apply and integrate elements of study from a range of modules, centred on a specific research question. Students are expected to undertake work that is relevant to the ongoing research in one of the established research centres within the Lincoln School of Computer Science and will work closely under the supervision of a member of that research centre.

Students are required to undertake the development of a software artefact that is non-trivial in scale and goals, and is supported by best-practice application of appropriate theoretical frameworks.

Robot Programming (Core)
Find out more

Robot Programming (Core)

This module focuses on practical and aspects of software development and engineering for robotics. It aims to equip students with an in-depth understanding of the specific programming requirements in the domain, such as (soft-) real time processing, coordination & orchestration of robotics systems and different communication paradigms of integrated robotic systems.

Students can engage in practical assignments, programming robots in simulation and the real world. Different components of robotic systems (examples comprise perception, localisation, path planning, mapping, search & learning) will be taught and appraised, facilitated by lectures and guided learning in workshops. Students have the chance to develop and understanding of the fundamentals of robotic frameworks and middlewares, enabling them to program and orchestrate complex robotic systems in practice.

Students may have the opportunity to work on tasks informed by state-of-the-art robotics research challenges and competitions. Where feasible, students will be given the opportunity to work towards specific tasks in such internationally recognised challenges, with the potential to qualify for participation.

† 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.

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.

Assessment Feedback

The University of Lincoln's policy on assessment feedback aims to ensure that academics will return in-course assessments to students promptly – usually within 15 working days of the submission date.

An informal interview by Skype 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.

For prospective MSc Robotics and Autonomous Systems students with an outstanding educational background and keen relevant interests in pursuing a PhD in Agri-Food Robotics, our new ESPRC Centre for Doctoral Training in Agri-Food Robotics may be able to provide studentships to support these studies.

For further details please refer to the online application form at:

http://apply.agriforwards-cdt.uk

 2020/21 Entry*
Home/EU £7,700

Home/EU
(including Alumni Scholarship 20% reduction )**

£6,160
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £43 per credit point
 Part-time International £89 per credit point

 

 2019/20 Entry*
Home/EU £7,400

Home/EU
(including Alumni Scholarship 20% reduction )**

£5,920
International £16,000
International
(Including International Alumni / Global Postgraduate Scholarship £2,000 reduction)**
£14,000
   
 Part-time Home/EU £41 per credit point
 Part-time International £89 per credit point

* Academic year September- July
** Subject to eligibility

Loans

A Postgraduate Master's Loan can help with course fees and living costs while you study. Individuals** will be able to borrow up to £10,906 for the purpose of completing an eligible postgraduate Master's qualification. The amount available will depend on the start date of your course.

Scholarships

As a postgraduate student you may be eligible for scholarships in addition to those shown above.

Guidance for Part-time Postgraduate Fees

To complete a standard Master's Taught programme, you must complete 180 credit points.

Full time students will be invoiced for the programme in full upon initial enrolment.

For part-time students, tuition fees are payable each credit point enrolled. To calculate your part-time fees, multiply the part-time fee per credit point by the number of credits you intend to complete within that academic year. This is usually between 60 and 90 credit points per year.

For example, if the fee per credit point for your programme is £49, and you enrol on 60 credits, the tuition fee payable for that academic year will be £2,940.

Fees for enrolment on additional modules

Tuition fees for additional activity are payable by the student/sponsor and charged at the equivalent £ per credit point rate for each module. Additional activity includes:

- Enrolment on modules that are in addition to the validated programme curriculum

- Enrolment on modules that are over and above the full credit diet for the relevant academic year

- Retakes of modules as permitted by the Board of Examiners

Exceptionally tuition fees may not be payable where a student has been granted a retake with approved extenuating circumstances.

For further information and for details about funding your study, scholarships and bursaries, please see our Postgraduate Fees & Funding pages [www.lincoln.ac.uk/home/studyatlincoln/postgraduateprogrammes/feesandfunding/].

Other Costs

With regards to text books, the University provides students who enrol with a comprehensive reading list and they will find that our extensive library holds either material or virtual versions of the core texts that they are required to read. However, students may prefer to purchase some of these for themselves and will be responsible for this cost.

Some courses provide opportunities for students to undertake field work or field trips. Where these are compulsory, the cost for travel and accommodation will be covered by the University and so is included in the fee. Where these are optional, students will normally be required to pay their own transport, accommodation, and general living costs.

A first or upper second class honours degree in computer science or a related discipline. This could include engineering, mathematics, or other science and technology subjects involving a significant element of computer programming.

You may be asked to provide samples of self-directed project work or to have an informal conversation on Skype to ensure that you have the relevant skills needed to engage in the programme.

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/home/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 https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/englishlanguagerequirements/


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.


https://www.lincoln.ac.uk/home/studywithus/internationalstudents/englishlanguagerequirementsandsupport/pre-sessionalenglishandacademicstudyskills/

Learn from Experts

Throughout this degree, students may receive tuition from professors, senior lecturers, lecturers, researchers, practitioners, visiting experts or technicians, and they may also be supported in their learning by other students.

Tom Duckett Image

Professor Tom Duckett

Programme Leader

Tom leads the Lincoln Centre for Autonomous Systems. His research interests include autonomous robots, artificial intelligence and machine perception, with applications including agri-food and service robotics. He worked previously at the Centre for Applied Autonomous Sensor Systems, Orebro University, Sweden, where he led the Learning Systems Laboratory. Contact: tduckett@lincoln.ac.uk


Your Future Career

Career and Personal Development

This course aims to develop the skills required for employment in the emerging Robotics and Autonomous Systems industry, and across many other sectors where these skills are applicable. These can include agri-food, automation, industry 4.0, healthcare, logistics, military, nuclear, security and transport. Some graduates may choose to continue research at doctoral level.

Career and Personal Development

This course aims to develop the skills required for employment in the emerging Robotics and Autonomous Systems industry, and across many other sectors where these skills are applicable. These can include agri-food, automation, industry 4.0, healthcare, logistics, military, nuclear, security, and transport. Some graduates may choose to continue research at doctoral level.


Facilities

At Lincoln, we constantly invest in our campus as we aim to provide the best learning environment for our undergraduates. Whatever the area of study, the University strives to ensure students have access to specialist equipment and resources, to develop the skills, which they may need in their future career.

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.

Students can study and research in the University's Great Central Warehouse Library, which provides more than 250,000 printed books and approximately 400,000 electronic books and journals, as well as databases and specialist collections. The Library has a range of different spaces for shared and individual learning.


The University intends to provide its courses as outlined in these pages, although the University may make changes in accordance with the Student Admissions Terms and Conditions.