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  1. Home
  2. Postgraduate
  3. Postgraduate Research Programmes
  4. School of Mathematics and Computer Science Postgraduate Research Courses
  5. Computer Science postgraduate research courses
  6. Robotics, MSc by Research

Robotics, MSc by Research

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Key Course Details

MSc by Research 1 Year Full Time
Location
Bay Campus
Start Date Tuition Fees
Oct 2025 or Jan, Apr or Jul 2026 £ 4,786
MSc by Research 2 Year Part Time
Location
Bay Campus
Start Date Tuition Fees - Year 1
Oct 2025 £ 2,393
MSc by Research 1 Year Full Time
Location
Bay Campus
Start Date Tuition Fees
Oct 2025 or Jan, Apr or Jul 2026 £ 23,950
MSc by Research 2 Year Part Time
Location
Bay Campus
Start Date Tuition Fees - Year 1
Oct 2025 £ 12,000

A unique opportunity to develop skills in an increasingly critical area

Robot hands touching
  • Overview
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      • Mathematics postgraduate research courses
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        • MSc by Research in Human Computer Interaction
        • MSc by Research in Theoretical Computer Science
        • MSc by Research in Visual and Interactive Computing
        • MRes in Computing and Future Interaction Technologies
        • MRes in Visual Computing
        • MRes in Logic and Computation
        • PhD/MPhil/MSc by Research in Computer Science
        • PhD Computer Science - Distance Learning
        • MSc by Research in Robotics
        • MSc by Research in Modelling, Data and AI
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Course Overview

Start date: MSc by Research - 1st October, 1st January, 1st April & 1st July.

Design of intelligent machines is increasingly critical in an era where Artificial Intelligence (AI) is rapidly evolving towards a future where robots are seamlessly integrated into daily life and work.

This MSc by Research in Robotics offers a unique opportunity to develop advanced research and technical skills crucial for pioneering the intelligent machines of the future. By integrating mechatronics, AI, and computer science, students will engage in a one-year research project to address real-world challenges, particularly in sectors such as manufacturing and healthcare.

The programme combines the disciplines of mechatronics, AI, and computer science to provide you with the unique expertise to design, implement, programme and understand modern intelligent robotic systems. This equips you to build affordable, user-oriented robotic systems with immediate and practical impacts.

You will have the opportunity to use an incredible array of state-of-the-art facilities, with equipment available across the Computer Science and Engineering departments at Swansea University, gaining hands-on experience that is essential for mastering these technologies and gaining competitive skills for your future.

The full-time programme consists of a 1-year research project, which provides you with the chance to apply theoretical knowledge into practice in a real-world context. By working on your project, you will enhance your research as well as your problem-solving skills, acquiring a comprehensive understanding of the nature of intelligent robotics. You will learn to tackle complex challenges in various sectors, including manufacturing, health, search and rescue, and space exploration.

The local research environment available to you is dynamic and rich, featuring facilities like the Robotics & Industry 4.0 Lab in Engineering, and an Internet of Thing (IoT) and Robotics Lab in Computer Science, equipped with advanced robotics and AI tools. Collaborations with international bodies like the International Federation for the Promotion of Mechanism and Machine Science (IFToMM) further enrich the environment, offering you exposure to global research initiatives and cutting-edge technologies.

This results in Swansea’s Computer Scienced department earning the following rankings:

  • Top 201-250 in the World (QS World University Rankings 2025)
  • 100% World Leading and Internationally Excellent Ratings for Research Impact (REF 2021)
  • 90% of Our Research is World Leading and Internationally Excellent (REF 2021)

Engineering at Swansea also has a:

  • 100% World Leading and Internationally Excellent Rating for its Research Environment (REF 2021)

To support the additional costs associated with the research undertaken in this programme, there will be an additional ‘Bench Fee’ of £3,000 due in addition to tuition fees. This fee ensures that students gain comprehensive exposure to cutting-edge equipment and technologies, while also supporting opportunities to attend conferences, fostering networking, professional development, and engagement with the latest advancements in intelligent robotics and AI-driven innovation.

Entry Requirements

Qualifications

Applicants for MSc by Research must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University). Please see our Country Specific Postgraduate Entry Requirements.

English Language

IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent. Full details of our English Language policy, including certificate time validity, can be found here.

As well as academic qualifications, Admissions decisions may be based on other factors, including (but not limited to): the standard of the research synopsis/proposal, performance at interview, intensity of competition for limited places, and relevant professional experience.

Academic Technology Approval Scheme (ATAS) Requirement

Non UK/EU applicants are required to obtain ATAS clearance for this programme of study. Successful applicants are sent ATAS application details by the University PGR Admissions team. Further details on the ATAS scheme can be found at on the government Academic Technology Approval Scheme webpage.

As well as academic qualifications, Admissions decisions may be based on other factors, including (but not limited to): the standard of the research synopsis/proposal, performance at interview, intensity of competition for limited places, and relevant professional experience.

Reference Requirement

As standard, one reference is required before we can progress applications to the Faculty research programme, academic Admissions Tutor for consideration.

Please note that any protracted delay in receiving the outstanding reference may result in the need to defer your application to a later potential start point/entry month, than what you initially listed as your preferred start option.

You may wish to consider contacting your referee to assist in the process of obtaining the outstanding reference or alternatively, hold submission of application until a reference is sourced. Please note that it is not the responsibility of the University Admissions Office to obtain missing reference after our initial email is sent to your nominated referee, requesting a reference on your behalf.

The reference can take the form of a letter on official headed paper, or via the University’s standard reference form. Click this link to download the university reference form.

Alternatively, referees can email a reference from their employment email account, please note that references received via private email accounts, (i.e. Hotmail, Yahoo, Gmail) cannot be accepted.

References can be submitted to pgradmissions@swansea.ac.uk.

How you are Supervised

From the moment you begin this programme, you will be immersed in a stimulating and collaborative research environment. You will start by meeting your supervisory team, who will guide you through defining and refining your research project, ensuring it aligns with your interests and the latest advancements in robotics and AI. Early on, you'll participate in interdisciplinary seminars, workshops, and conferences, exposing you to cutting-edge ideas and introducing you to key networks within Computer Science and Engineering.

Our team of expert supervisors ensure that students are supported to develop critical research skills such as: giving presentations, undertaking literature reviews, writing articles and completing a dissertation.

As your research progresses, you’ll gain access to state-of-the-art facilities and resources across both departments, where you’ll apply your technical skills in programming, hardware-software integration, and robotic systems design. Regular check-ins with your supervisors will help you navigate challenges, whether they are technical or conceptual, and ensure that you’re developing your research-related skills.

Throughout the programme, you’ll engage with external examiners and industry experts, gaining valuable feedback and insights that will shape your research. You’ll have the opportunity to present your findings at conferences or internal seminars, honing your ability to communicate complex ideas to both specialists and non-specialists. Whether you’re aiming for a future in academia or industry, this journey equips you with the tools and confidence to succeed in intelligent robotics.

Welsh Provision

Tuition Fees

MSc by Research 1 Year Full Time

Start Date UK International
October 2025 £ 4,786 £ 23,950
January 2026 £ 4,786 £ 23,950
April 2026 £ 4,786 £ 23,950
July 2026 £ 4,786 £ 23,950

MSc by Research 2 Year Part Time

Start Date UK International
October 2025 £ 2,393 £ 12,000

Tuition fees for years of study after your first year are subject to an increase of 3%.

You can find further information of your fee costs on our tuition fees page.

Note: The 2025/2026 UK fee is indicative pending confirmation from UKRI.

You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page.

International students and part-time study: It may be possible for some students to study part-time under the Student Visa route. However, this is dependent on factors relating to the course and your individual situation. It may also be possible to study with us if you are already in the UK under a different visa category (e.g. Tier 1 or 2, PBS Dependant, ILR etc.). Please visit the University information on Visas and Immigration for further guidance and support.

Current students: You can find further information of your fee costs on our tuition fees page.

Funding and Scholarships

You may be eligible for funding to help support your study.

Government funding is now available for Welsh, English and EU students starting eligible postgraduate research programmes at Swansea University. To find out more, please visit our postgraduate loans page.

To find out about scholarships, bursaries and other funding opportunities that are available please visit the University's scholarships and bursaries page.

Academi Hywel Teifi at Swansea University and the Coleg Cymraeg Cenedlaethol offer a number of generous scholarships and bursaries for students who wish to study through the medium of Welsh or bilingually. For further information about the opportunities available to you, visit the Academi Hywel Teifi Scholarships and Bursaries page.

Additional Costs

Access to your own digital device/the appropriate IT kit will be essential during your time studying at Swansea University. Access to wifi in your accommodation will also be essential to allow you to fully engage with your programme. See our dedicated webpages for further guidance on suitable devices to purchase, and for a full guide on getting your device set up.

You may face additional costs while at university, including (but not limited to):

  • Travel to and from campus
  • Printing, photocopying, binding, stationery and equipment costs (e.g. USB sticks)
  • Purchase of books or texts
  • Gowns for graduation ceremonies

To support the additional costs associated with the research undertaken in this programme, there will be an additional ‘Bench Fee’ of £3,000 due in addition to tuition fees. This fee ensures that students gain comprehensive exposure to cutting-edge equipment and technologies, while also supporting opportunities to attend conferences, fostering networking, professional development, and engagement with the latest advancements in intelligent robotics and AI-driven innovation.

How to Apply

Before applying, please identify a research topic or area by consulting our list of current research areas. Once you have identified a research topic or an area, please complete a Research Proposal Form which can be downloaded, and discuss this with the Programme Lead, Dr Daniele Cafolla.

For further guidance please visit our how to apply for postgraduate study pages.

Suggested Application Timings

In order to allow sufficient time for consideration of your application by an academic, for potential offer conditions to be met and travel / relocation, we recommend that applications are made before the dates outlined below. Please note that applications can still be submitted outside of the suggested dates below but there is the potential that your application/potential offer may need to be moved to the next appropriate intake window.

October Enrolment

UK Applicants – 15th August

EU/International applicants – 15th July

January Enrolment

UK applicants – 15th November

EU/International applicants – 15th October

April Enrolment

UK applicants – 15th February

EU/International applicants – 15th January

July Enrolment

UK applicants – 15th May

EU/International applicants – 15th April

EU students - visa and immigration information is available and will be regularly updated on our information for EU students page.

  • Overview
  • Related Pages
  • Back
  • Postgraduate Research Programmes
  • Scholarships and Bursaries
  • Research projects
  • Postgraduate Research Programmes coming soon
  • How to apply for your Postgraduate Research programme
  • Postgraduate Taught Courses
  • School of Aerospace, Civil, Electrical and Mechanical Engineering Research Courses
  • School of Biosciences, Geography and Physics Postgraduate Research Courses
  • School of Culture and Communication Postgraduate Research Courses
  • School of Engineering and Applied Sciences Postgraduate Research Courses
  • School of Health and Social Care Postgraduate Research Courses
  • School of Law Postgrad Research Courses
  • School of Management Postgraduate Research Courses
  • School of Mathematics and Computer Science Postgraduate Research Courses
    • Mathematics postgraduate research courses
    • Computer Science postgraduate research courses
      • MSc by Research in Human Computer Interaction
      • MSc by Research in Theoretical Computer Science
      • MSc by Research in Visual and Interactive Computing
      • MRes in Computing and Future Interaction Technologies
      • MRes in Visual Computing
      • MRes in Logic and Computation
      • PhD/MPhil/MSc by Research in Computer Science
      • PhD Computer Science - Distance Learning
      • MSc by Research in Robotics
      • MSc by Research in Modelling, Data and AI
  • Medical School Postgraduate Research Courses
  • School of Psychology Postgraduate Research Courses
  • School of Social Sciences Postgraduate Research Courses
  • Open Days
  • Fees and Funding
Apply

Suggested Application Timings

In order to allow sufficient time for consideration of your application by an academic, for potential offer conditions to be met and travel / relocation, we recommend that applications are made before the dates outlined below. Please note that applications can still be submitted outside of the suggested dates below but there is the potential that your application/potential offer may need to be moved to the next appropriate intake window.

  • October Enrolment
    UK Applicants – 15th August
    EU/International Applicants – 15th July
  • January Enrolment
    UK Applicants – 15th November
    EU/International Applicants – 15th October
  • April Enrolment
    UK Applicants – 15th February
    EU/International Applicants – 15th January
  • July Enrolment
    UK Applicants – 15th May
    EU/International Applicants – 15th April

EU students - visa and immigration information is available and will be regularly updated on our information for EU students page.

MSc by Research Programme Specification

Award Level (Nomenclature)

MSc by Research 

Programme Title

Robotics

Programme Lead

Dr. Daniele Cafolla

Programme Co-Lead (Engineering)

Dr. Chunxu Li

Awarding Body

Swansea University

Faculty

Faculty of Science and Engineering

Subject Area

Computer Science / Engineering

Frequency of Intake

October, January, April, June

Location

Bay Campus

Mode of Study

Full/Part time

Duration/Candidature

1/2 years

FHEQ Level

7

External Reference Points

QAA Qualification Descriptors for FHEQ Level 7

Regulations

Degree of Master’s by Research

Professional, Statutory or Regulatory Body Accreditation

N/A

Exit Awards

N/A

Language of Study

English

This Programme Specification refers to the current academic year and provides indicative content for information. The University will seek to deliver each course in accordance with the descriptions set out in the relevant course web pages at the time of application. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after enrolment.

Programme Summary

This MSc by Research in Robotics at Swansea will enable you to undertake a research project led by your own interests. It is a highly respected qualification which can enable a future career in academia or a wider scope for employment in fields such as education, government or the private sector. A thesis of 40,000 words will be submitted for assessment demonstrating original research with a substantive contribution to the subject area. The master’s is examined following an oral examination of the thesis (a viva voce examination or viva). You will acquire research skills for high-level work and skills and training programmes are available on campus for further support. 

Programme Aims

This master’s programme will provide students with:

  1. The opportunity to conduct high quality postgraduate research in a world leading research environment.
  2. Key skills needed to undertake advanced academic and non-academic research including qualitative and quantitative data analysis.
  3. Advanced critical thinking, intellectual curiosity and independent judgement.

Programme Structure

The programme comprises three key elements:

  • Entry and confirmation of candidature
  • Main body of research
  • Thesis and viva voce examination

The programme comprises of the undertaking of an original research project of 1 year duration full time (2 years duration part time). 

Assessment

Students for the Master’s by Research in Robotics are examined in two parts.

The first part is a thesis which is an original body of work representing the methods and results of the research project. The word limit is 40,000 for the main text. The word limit does not include appendices (if any), essential footnotes, introductory parts and statements or the bibliography and index.

The second part is an oral examination (viva voce).

Supervision and Support 

Students will be supervised by a supervisory team. Where appropriate, staff from Colleges/Schools other than the ‘home’ Department/School (other Colleges/Schools) within the University will contribute to cognate research areas. There may also be supervisors from an industrial partner.

The Primary/First Supervisor will normally be the main contact throughout the student journey and will have overall responsibility for academic supervision. The academic input of the Secondary Supervisor will vary from case to case. The principal role of the Secondary Supervisor is often as a first port of call if the Primary/First Supervisor becomes unavailable. The supervisory team may also include a supervisor from industry or a specific area of professional practice to support the research. External supervisors may also be drawn from other Universities.

The primary supervisor will provide pastoral support. If necessary, the primary supervisor will refer the student to other sources of support (e.g. Wellbeing, Disability, Money@Campuslife, IT, Library, Students’ Union, Academic Services, Student Support Services, Swansea Employability Academy).

Programme Learning Outcomes

Upon successful completion of this programme, doctoral researchers should be able to:

Knowledge & Understanding

  • Critically reflect on the existing knowledge base, current problems and/or new insights, in the field of Robotics.
  • Demonstrate originality in the application of knowledge, together with a practical understanding of how established techniques of research and enquiry are used to create and interpret knowledge in the discipline.
  • Apply research skills, methodologies and subject theory to the practice of research.
  • Create, interpret and analyse knowledge in the specific field of study through original research.  

Attitudes and values

  • Undertake research tasks and make informed judgements with minimum guidance. 
  • Apply sound ethical principles to research, with due regard for the integrity of persons and in accordance with professional codes of conduct.
  • Demonstrate self-awareness of individual and cultural diversity, and the reciprocal impact in social interaction between self and others when conducting research involving people.

Research Skills

  • Demonstrate self-direction and originality in tackling and solving problems, and act autonomously in planning and implementing tasks at a professional or equivalent level.
  • Approach and resolve complex issues both systematically and creatively, make sound judgements in the absence of complete data, and communicate their conclusions clearly to specialist and non-specialist audiences.
  • Evaluate and apply relevant techniques for research in Robotics.
  • Apply research methodologies and develop critiques of them and, where appropriate, propose new hypotheses.
  • Work in groups, presenting conclusions and reflecting difference of opinion.
  • Implement independent research skills.
  • Locate information and apply it to research practice.
  • Design and implement a research project.

Skills and Competencies

  • Display the qualities and transferable skills necessary for employment, including the exercise of personal responsibility and initiative in complex situations.
  • The exercise of initiative and personal responsibility.
  • Decision-making in complex and unpredictable situations.
  • The independent learning ability required for continuing professional development.

Progression Monitoring

Progress will be monitored in accordance with Swansea University regulations. During the course of the programme, the student is expected to meet regularly with their supervisors, and at most meetings it is likely that the student’s progress will be monitored in an informal manner in addition to attendance checks. Details of the meetings should ideally be recorded on the on-line system. A minimum of four formal supervision meetings is required each year, two of which will be reported to the Postgraduate Progression and Awards Board. During these supervisory meetings the student’s progress is discussed and formally recorded on the on-line system. 

Learning Development 

The University offers training and development for Doctoral Researchers and supervisors.

Swansea University’s Postgraduate Research Training Framework is structured into sections, to enable students to navigate and determine appropriate courses aligned to both their interest and their candidature stage. 

There is a training framework including for example areas of Managing Information and Data, Presentation and Public Engagement, Leadership and working with others, Safety Integrity and Ethics, Impact and Commercialisation and Teaching and Demonstrating. There is also range of support in areas such as training needs, literature searching, conducting research, writing up research, teaching, applying for grants and awards, communicating research and future careers.

A range of research seminars and skills development sessions are provided within the Department and across the University. These are scheduled to keep the student in touch with a broader range of material than their own research topic, to stimulate ideas in discussion with others, and to give them opportunities to such as defending their own thesis orally, and to identify potential criticisms. Additionally, the Department is developing a research culture that will align with the University vision and will link with key initiatives delivered under the auspices of the University’s Academies.

Research Environment 

Swansea University’s Research Environment combines innovation and excellent facilities to provide a home for multidisciplinary research to flourish. Our research environment encompasses all aspects of the research lifecycle, with internal grants and support for external funding and enabling impact/effect that research has beyond academia. 

Swansea University is very proud of our reputation for excellent research, and for the calibre, dedication, professionalism, collaboration and engagement of our research community. We understand that integrity must be an essential characteristic of all aspects of research, and that as a University entrusted with undertaking research we must clearly and consistently demonstrate that the confidence placed in our research community is rightly deserved. The University therefore ensures that everyone engaged in research is trained to the very highest standards of research integrity and conducts themselves and their research in a way that respects the dignity, rights, and welfare of participants, and minimises risks to participants, researchers, third parties, and the University itself.

The Faculty of Science and Engineering

Swansea’s Faculty of Science and Engineering has been recognised as being world-leading and having an impact globally. Many members of the Faculty have contributed to this outcome; the researchers and colleagues who facilitate the excellent research environment and the students who debate and challenge the ideas that are always bubbling here. The amount of talent in the Faculty is vast, and the quality and diversity of research is truly outstanding.

Career Opportunities

Having a master’s by research degree shows that you can communicate your ideas and manage tasks. Jobs in academia, education, government, management, the public or private sector are possible. 

The Postgraduate Research Office Skills Development Team offer support and a training framework for example in creating a researcher profile based upon publications and setting up your own business. The Swansea Employability Academy assists students in future career opportunities, improving CVs, job applications and interview skills.

 

Facilities and Equipment Available

Vision and Robotics Labs

The Computer Science Vision Lab and Robotics Lab are central to supporting this MSc program. They provide students with cutting-edge resources, ranging from motion capture systems to deep-learning capabilities, supporting research in tasks like computer vision and algorithm development. Additionally, the Robotics Lab in Mechanical Engineering offers Industry 4.0 tools, supporting practical implementation in fields like manufacturing.

Key Equipment Available

The Robotics & Industry 4.0 Lab and Computer Science Intelligent Robotics Lab are equipped with advanced technologies, such as:

  • KUKA KR16-2 Industrial Robots: For aviation and manufacturing research.
  • KUKA LBR iiwa Collaborative Robots and KMR iiwa Mobile Platform: For safe human-robot collaboration in Industry 4.0 environments.
  • UR3E & UR5E Collaborative Robots: Designed for lightweight research and industrial applications.
  • Baxter Humanoid Robot: For industrial tasks and advanced collaborative research.
  • Wessling Robotics Humanoid Hands: With advanced torque and position feedback sensors for robotic dexterity.
  • Unitree Go1 Edu Quadruped Robot and Z1 Pro Robot Arm: Compact and AI-integrated platforms.
  • Niryo One Educational Robots: Six-axis robots tailored for teaching and research.
  • IVS-COMMAND Vision System and Micro-Epsilon Laser Scanners: Advanced systems for high-precision applications.

These exclusive assets demonstrate the program’s cutting-edge foundation and ability to foster both theoretical and practical innovation.

Key Programme Benefits

  • Interdisciplinary Approach: Bringing expertise across disciplines provides students with a comprehensive understanding of robotic systems, essential for addressing modern technological challenges.
  • Hands-On Experience: A one-year research project enables students to apply theoretical knowledge to practical issues, fostering critical problem-solving skills and innovation.
  • Access to Advanced Facilities: State-of-the-art labs such as the Robotics & Industry 4.0 Lab and the Computer Science Intelligent Robotics Lab provide cutting-edge equipment and technologies.
  • Real-World Impact: Research focuses on solving practical issues, preparing students to deliver solutions in sectors like healthcare and manufacturing.
  • Career Opportunities: Equipping graduates with technical and interdisciplinary skills makes them competitive for roles in flourishing fields.
  • Global Collaboration: Connections with international institutions enrich the student experience and expand global networks.

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