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Autonomous Intelligent Machines and Systems (EPSRC CDT)

About the course

The Autonomous Intelligent Machines and Systems (AIMS) Centre for Doctoral Training (CDT) provides graduates with the opportunity to develop in-depth knowledge, understanding and expertise in autonomous intelligent systems. 

The programme provides a comprehensive, state-of-the-art view of autonomous intelligent systems, combining theoretical foundations, systems research, academic training and industry-initiated projects and thus mixing both practical and theoretical aspects of intelligent machines and systems.

Course outline

The first year (first two years if studying part-time) is oriented towards developing your knowledge base. You will need to take a number of courses during your first year (over two years if studying part-time). Your day will comprise of lectures each morning with laboratory sessions each afternoon. You will undertake two ten- to twelve-week mini-projects, precursors to your DPhil study, to hone your research skills and shape your main research area (if studying part-time, you will take one in your first year and the other in your second year). You will meet your supervisor regularly to assess progress and discuss academic issues.

Years two to four (three to eight if studying part-time) see an increasing emphasis on individual research. You will be encouraged to develop projects based on your own research ideas within the four key research themes of Machine Learning, as a unifying core; Robotics & Vision, Control and Verification, and Cyber-Physical Systems (eg sensor networks). Training will continue in academic reading, writing and presentation skills, business and commerce (to include innovation and IP curatorship and entrepreneurship), career development and planning, and ethics and law, where the societal implications of autonomous systems will be considered.

Research seminars are used to discuss papers, for rehearsing conference talks and for building links between groups. An annual workshop gives the opportunity to present research to students, industrial partners and invited researchers from other universities. Industrial collaborators are invited to share their latest problems and market trends and to discuss opportunities for future collaboration.

If studying full-time, you will spend one or two months over the second or third summer in an industrial lab to gain experience in industry-led projects and expanding your horizons by engaging in an AIMS topic that is not your main one. If studying part-time, it is recommended that you take on an internship between years four and six.

After the end of the internship, further interaction will be encouraged by inviting your industrial supervisors to join your group in Oxford for short periods.

You will also be encouraged to take demonstrations of your systems to companies, government departments, as well as schools. In the fourth year, the cohort help organise the annual workshop, inviting keynote speakers, participating in the program committee, reviewing papers submitted by second and third year students, and publicising the workshop to universities and industrial partners beyond those directly involved in the CDT.

Attendance

The course can be studied full-time or part-time with both modes requiring attendance in Oxford. Full-time students are subject to the University's Residence requirements. Part-time students are required to attend course-related activities in Oxford for a minimum of 30 days each year.

The full-time course is usually studied over three to four years. The part-time courses is usually studied over six to eight years.

Provision exists for students on some courses to undertake their research in a ‘well-founded laboratory’ outside of the University. This may require travel to and attendance at a site that is not located in Oxford. Where known, existing collaborations will be outlined on this page. Please read the course information carefully, including the additional information about course fees and costs. 

Resources to support your study

As a graduate student, you will have access to the University's wide range of world-class resources including libraries, museums, galleries, digital resources and IT services.

The Bodleian Libraries is the largest library system in the UK. It includes the main Bodleian Library and libraries across Oxford, including major research libraries and faculty, department and institute libraries. Together, the Libraries hold more than 13 million printed items, provide access to e-journals, and contain outstanding special collections including rare books and manuscripts, classical papyri, maps, music, art and printed ephemera.

The University's IT Services is available to all students to support with core university IT systems and tools, as well as many other services and facilities. IT Services also offers a range of IT learning courses for students, to support with learning and research.

The AIMS CDT is resourced by the UK's Engineering and Physical Sciences Research Council, and is jointly hosted by the Department of Computer Science and Department of Engineering Science.

There are strong links with researchers in other departments in the mathematical and physical sciences, and, ever increasingly, with researchers and practitioners in medical science departments and University hospitals.

The key research cluster for AIMS is information, control and vision engineering, which is well-supported by experienced technical, computing, and administrative staff. The department has well-equipped research areas and workshops, as well as offices, lecture theatres, library, common room, stores, reprographics and other facilities. 

Supervision

For this course, the allocation of graduate supervision is the responsibility of the Department of Engineering Science and/or Department of Computer Science and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Department of Engineering Science and Department of Computer Science. 

Students will have the opportunity to meet their supervisor on a regular basis to discuss their progress. For full-time students, these meetings are usually at least once every two weeks, averaged across the year, and once a month for part-time students.

Assessment

If you are studying full-time, you will be assessed continually throughout the first year during courses and projects and at its end the programme supervisors will assess whether sufficient progress has been made to continue to the research phase. At the end of the second year, you will be required to write a report and give a presentation on your research, and to present a detailed and coherent plan for the research-intensive phase in the third and fourth years of your doctoral studies. Progress towards completion is again formally assessed some way into the final year of study.

If studying part-time, you will be assessed over the first two years. Timings will differ for the presentation for part-time students. 

For the DPhil you will be required to submit a substantial thesis which is read and examined by experts in the field, one from the department and one from elsewhere. Often the thesis will result in the publication of several journal and conference papers.

Graduate destinations

The development of a positive group dynamic within and between year groups in the CDT and the progressive increase of responsibility and external exposure, equips graduates from the AIMS programme for leadership roles in industry both nationally and internationally. It is anticipated that others will continue to spend time in postdoctoral research, probably developing the work in their theses towards product.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. 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 registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made if a pandemic, epidemic or local health emergency occurs. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

Entry requirements for entry in 2025-26

Proven and potential academic excellence

The requirements described below are specific to this course and apply only in the year of entry that is shown. You can use our interactive tool to help you evaluate whether your application is likely to be competitive.

Please be aware that any studentships that are linked to this course may have different or additional requirements and you should read any studentship information carefully before applying. 

Degree-level qualifications

As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their equivalent:

  • a first-class or strong upper second-class undergraduate degree with honours.

The qualification above should be achieved in one of the following subject areas or disciplines:

  • computer science
  • engineering
  • physics
  • mathematics
  • statistics; or
  • other related disciplines.

A previous master's qualification is not required.

For applicants with a degree from the USA, the minimum overall GPA that is normally required to meet the undergraduate-level requirement is 3.6 out of 4.0. However, selection of candidates also depends on other factors in your application and most successful applicants have achieved higher GPA scores.

If your degree is not from the UK or another country specified above, visit our International Qualifications page for guidance on the qualifications and grades that would usually be considered to meet the University’s minimum entry requirements.

GRE General Test scores

No Graduate Record Examination (GRE) scores are sought. 

Other qualifications, evidence of excellence and relevant experience 

Candidates will need to demonstrate a broad interest in some or all of the four AIMS themes:

  • robotics and vision
  • machine learning, as a unifying core
  • control and verification
  • cyber-physical systems (eg sensor networks).

English language proficiency

This course requires proficiency in English at the University's higher level. If your first language is not English, you may need to provide evidence that you meet this requirement. The minimum scores required to meet the University's higher level are detailed in the table below.

Minimum scores required to meet the University's higher level requirement
TestMinimum overall scoreMinimum score per component
IELTS Academic (Institution code: 0713) 7.57.0

TOEFL iBT, including the 'Home Edition'

(Institution code: 0490)

110Listening: 22
Reading: 24
Speaking: 25
Writing: 24
C1 Advanced*191185
C2 Proficiency191185

*Previously known as the Cambridge Certificate of Advanced English or Cambridge English: Advanced (CAE)
Previously known as the Cambridge Certificate of Proficiency in English or Cambridge English: Proficiency (CPE)

Your test must have been taken no more than two years before the start date of your course. Our Application Guide provides further information about the English language test requirement.

Declaring extenuating circumstances

If your ability to meet the entry requirements has been affected by the COVID-19 pandemic (eg you were awarded an unclassified/ungraded degree) or any other exceptional personal circumstance (eg other illness or bereavement), please refer to the guidance on extenuating circumstances in the Application Guide for information about how to declare this so that your application can be considered appropriately.

References

You will need to register three referees who can give an informed view of your academic ability and suitability for the course. The How to apply section of this page provides details of the types of reference that are required in support of your application for this course and how these will be assessed.

Supporting documents

You will be required to supply supporting documents with your application. The How to apply section of this page provides details of the supporting documents that are required as part of your application for this course and how these will be assessed.

Performance at interview

Interviews (in person or by other means) may form part of the admissions process.

If you are applying for part-time study and invited to attend an interview, you may be asked about your ability to commit sufficient time to study and fulfil all elements outlined in the course description (eg completing coursework, assessments, and attending course and University events and modules).

Offer conditions for successful applications

If you receive an offer of a place at Oxford, your offer will outline any conditions that you need to satisfy and any actions you need to take, together with any associated deadlines. These may include academic conditions, such as achieving a specific final grade in your current degree course. These conditions will usually depend on your individual academic circumstances and may vary between applicants. Our 'After you apply' pages provide more information about offers and conditions

In addition to any academic conditions which are set, you will also be required to meet the following requirements:

Financial Declaration

If you are offered a place, you will be required to complete a Financial Declaration in order to meet your financial condition of admission.

Disclosure of criminal convictions

In accordance with the University’s obligations towards students and staff, we will ask you to declare any relevant, unspent criminal convictions before you can take up a place at Oxford.

Academic Technology Approval Scheme (ATAS)

Some postgraduate research students in science, engineering and technology subjects will need an Academic Technology Approval Scheme (ATAS) certificate prior to applying for a Student visa (under the Student Route). For some courses, the requirement to apply for an ATAS certificate may depend on your research area.

Other factors governing whether places can be offered

The following factors will also govern whether candidates can be offered places:

  • the ability of the University to provide the appropriate supervision for your studies, as outlined under the 'Supervision' heading in the About section of this page;
  • the ability of the University to provide appropriate support for your studies (eg through the provision of facilities, resources, teaching and/or research opportunities); and
  • minimum and maximum limits to the numbers of students who may be admitted to the University's taught and research programmes.

Departments offering this course

This course is offered jointly by the following departments:

Department of Engineering Science

Established in 1908, the Department of Engineering Science brings together the study of all branches of engineering at Oxford. It has a community of around 140 academics, 770 graduate students and 200 postdoctoral researchers and research fellows at any given time.

The department has grown to become a world leading academic unit with a portfolio that incorporates most engineering disciplines, with many faculty members working in several areas. It maintains an exceptional reputation in multiple aspects of engineering, leading in the training of young minds, and excelling at innovating - all the while working closely with companies such as Google, Rolls-Royce, Jaguar Land Rover and Dyson. The department has an annual turnover of around £73m, of which research grant income is approximately £34m.

Professors work at the vanguard of new technology development, innovation, and implementation, and their research impacts on government policy, industry, healthcare, infrastructure, communications, transport, and security. The department has an excellent record of engagement with industry and of translating research results into real-world applications. It has generated numerous successful spin-out companies.

The department is located across several sites. The central Oxford buildings in the Keble Triangle house the main lecture theatres as well as many of the labs. Nearby is The Oxford Robotics Institute, a cutting-edge research institute in the field of robotics and autonomous systems, and the Oxford e-Research Centre, a multidisciplinary data science research and education institute. Other research groups and Institutes such as the Oxford Thermofluids Institute and the Institute of Biomedical Engineering are located on different sites in and around Oxford.

Department of Computer Science

The Department of Computer Science is at the heart of computing and related interdisciplinary activity at Oxford. 

The department is home to a community of world class researchers and is consistently ranked in the Times Higher Education University Rankings amongst the very best computer science departments in the world, for both teaching and research. 

The Department of Computer Science is committed to attracting the world’s most talented students and working with them to continue the success of the field of computer science. As a student here, you will join a vibrant community working in research areas including:

  • algorithms and complexity theory
  • artificial intelligence and machine learning
  • automated verification
  • computational biology and health informatics
  • data, knowledge and action
  • human centred computing
  • programming languages 
  • quantum
  • security
  • systems
  • software engineering.

The department’s strength comes from its firm grounding in core computer science disciplines, a high degree of mathematical sophistication among its researchers, and its committed engagement with applications and interdisciplinary work.

You will have the opportunity to meet other students and staff working across these research areas by attending seminars, workshops and lectures, and through social events organised by the Computer Science Graduate Society and the Oxford Women in Computer Science Society.

The department is home to undergraduates, full-time and part-time master's students, and has a strong doctoral programme.

Funding

For this course, we recommend that you visit our dedicated funding pages which include details of a range of external fundingloan schemes for postgraduate study. Some scholarships may also be available through our fees, funding and scholarship search tool. You should review the information carefully, including the eligibility criteria and application deadlines, noting that not all funding opportunities are available for postgraduate diploma and postgraduate certificate courses.

Details of college-specific funding opportunities can also be found on individual college websites:

Please refer to the College preference section of this page to identify which of the colleges listed above accept students for this course.

For the majority of college scholarships, it doesn’t matter which college, if any, you state a preference for in your application. If another college is able to offer you a scholarship, your application can be moved to that college if you accept the scholarship. Some college scholarships may require you to state a preference for that college when you apply, so check the eligibility requirements carefully.

Costs

Annual fees for entry in 2025-26

Full-time study

Part-time study

Information about course fees

Course fees are payable each year, for the duration of your fee liability (your fee liability is the length of time for which you are required to pay course fees). For courses lasting longer than one year, please be aware that fees will usually increase annually. For details, please see our guidance on changes to fees and charges.

Course fees cover your teaching as well as other academic services and facilities provided to support your studies. Unless specified in the additional information section below, course fees do not cover your accommodation, residential costs or other living costs. They also don’t cover any additional costs and charges that are outlined in the additional information below.

Continuation charges

Following the period of fee liability, you may also be required to pay a University continuation charge and a college continuation charge. The University and college continuation charges are shown on the Continuation charges page.

Where can I find further information about fees?

The Fees and Funding section of this website provides further information about course fees, including information about fee status and eligibility and your length of fee liability.

Additional information

Full-time study

Part-time study

Living costs

In addition to your course fees and any additional course-specific costs, you will need to ensure that you have adequate funds to support your living costs for the duration of your course.

Living costs for full-time study

For the 2025-26 academic year, the range of likely living costs for a single, full-time student is between £1,425 and £2,035 for each month spent in Oxford. We provide the cost per month so you can multiply up by the number of months you expect to live in Oxford. Depending on your circumstances, you may also need to budget for the costs of a student visa and immigration health surcharge and/or living costs for family members or other dependants that you plan to bring with you to Oxford (assuming that dependant visa eligibility criteria are met).

Living costs for part-time study

Your living costs may vary depending on your personal circumstances but you will still need to cover your cost of living on a full-time basis for the duration of your course, even if you will not be based in Oxford throughout your studies. While the range of likely living costs for a single, full-time student living in Oxford is between £1,425 and £2,035 per month, living costs outside Oxford may be different.

Part-time students who are not based in Oxford will need to calculate travel and accommodation costs carefully. Depending on your circumstances and study plans, this may include the cost of a visitor visa to attend for short blocks of time (assuming that visitor visa eligibility criteria are met).

Further information about living costs

The current economic climate and high national rate of inflation make it very hard to estimate potential changes to the cost of living over the next few years. For study in Oxford beyond the 2025-26 academic year, it is suggested that you budget for potential increases in living expenses of around 4% each year – although this rate may vary depending on the national economic situation. For further information, please consult our more detailed information about living costs, which includes a breakdown of likely living costs in Oxford for items such as food, accommodation and study costs.

College preference

Students enrolled on this course will belong to both a department/faculty and a college. Please note that ‘college’ and ‘colleges’ refers to all 43 of the University’s colleges, including those designated as societies and permanent private halls (PPHs). 

If you apply for a place on this course you will have the option to express a preference for one of the colleges listed below, or you can ask us to find a college for you. Before deciding, we suggest that you read our brief introduction to the college system at Oxford and our advice about expressing a college preference

If you are a current Oxford student and you would like to remain at your current Oxford college, you should check whether it is listed below. If it is, you should indicate this preference when you apply. If not, you should contact your college office to ask whether they would be willing to make an exception. Further information about staying at your current college can be found in our Application Guide. 

Before you apply

Our guide to getting started provides general advice on how to prepare for and start your application. You can use our interactive tool to help you evaluate whether your application is likely to be competitive.

If it is important for you to have your application considered under a particular deadline – eg under the January deadline in order to be considered for Oxford scholarships – we recommend that you aim to complete and submit your application at least two weeks in advance. Check the deadlines on this page and the information about deadlines and when to apply in our Application Guide.

Application fee waivers

An application fee of £20 is payable for each application to this course. Application fee waivers are available for the following applicants who meet the eligibility criteria:

  • applicants from low-income countries;
  • refugees and displaced persons; 
  • UK applicants from low-income backgrounds; and 
  • applicants who applied for our Graduate Access Programmes in the past two years and met the eligibility criteria.

You are encouraged to check whether you're eligible for an application fee waiver before you apply.

Readmission for current Oxford graduate taught students

If you're currently studying for an Oxford graduate taught course and apply to this course with no break in your studies, you may be eligible to apply to this course as a readmission applicant. The application fee will be waived for an eligible application of this type. Check whether you're eligible to apply for readmission.

Application fee waivers for eligible associated courses

If you apply to this course and up to two eligible courses during the same application cycle, you can request an application fee waiver so that you only need to pay one application fee. We recommend that you use your application fee waiver to apply only for eligible courses that are closely related in research area to this one.

To be considered eligible for an application fee waiver, each additional course must be:

If this is the first eligible course that you are applying to, you can request an application fee waiver for an additional course after you have submitted your application for this course. If you have already applied to another course that the meets the eligibility criteria shown above, you should request an application fee waiver before starting an application to this course.

Remember to state clearly in your request which course(s) you intend to apply to. If your request is successful, you will receive an application fee waiver code that is valid for this admission cycle (ie for entry in the 2025-26 academic year). Our Application Guide provides instructions for entering your application fee waiver code.

Do I need to contact anyone before I apply?

You are encouraged to communicate with the department's Administrator via the contact details provided on this page in order to refine your application, especially where studentships are involved.

Completing your application

You should refer to the information below when completing the application form, paying attention to the specific requirements for the supporting documents

If any document does not meet the specification, including the stipulated word count, your application may be considered incomplete and not assessed by the academic department. Expand each section to show further details.

Proposed field and title of research project

As you will not choose your research area until the end of year one, you do not need to specify a research field, or project title beyond "Cohort-based training programme in AIMS" in your application.

You should not use this field to type out a full research proposal. You will be able to upload your research supporting materials separately if they are required (as described below).

Proposed supervisor

As you will not choose your research supervisor until the end of year one, you do not need to specify a supervisor beyond "Cohort-based training programme in AIMS" in your application.

Referees:
Three overall, of which at least two must be academic

Whilst you must register three referees, the department may start the assessment of your application if two of the three references are submitted by the course deadline and your application is otherwise complete. Please note that you may still be required to ensure your third referee supplies a reference for consideration.

Your academic references should refer directly and specifically to the themes of the AIMS CDT.

Official transcript(s)

Your transcripts should give detailed information of the individual grades received in your university-level qualifications to date. You should only upload official documents issued by your institution and any transcript not in English should be accompanied by a certified translation.

More information about the transcript requirement is available in the Application Guide.

CV/résumé

A CV/résumé is compulsory for this course. Most applicants choose to submit a document of one to two pages highlighting their academic achievements and any relevant professional experience.

Statement of purpose and research proposal
A minimum of 1,000 to a maximum of 3,000 words

Your statement should focus on your research and career ambitions in the area of the programme, rather than on other personal achievements, interests and aspirations. It should refer directly and specifically to the themes of the CDT.

As part of the same document, you should also include a brief, non-binding, speculative, research proposal.

If possible, please ensure that the word count is clearly displayed on the document.

 
If you are applying for part-time study, you should provide evidence of your ability to commit sufficient time to study and fulfil all elements outlined in the course description (eg completing coursework, assessments, and attending course and University events and modules).
 
This will be assessed for your past commitment to sustained and intense study, your reasons for wishing to undertake research in the area of autonomous intelligent machines and systems and how the interdisciplinary approach in the CDT will be of benefit in this context. As well as your ability to commit sufficient time to study and fulfil all elements outlined in the course description if you are applying for part-time study. 
 

Start or continue your application

You can start or return to an application using the relevant link below. As you complete the form, please refer to the requirements above and consult our Application Guide for advice.

Apply - Full Time Apply - Part Time Continue application

After you've submitted your application

Your application (including the supporting documents outlined above) will be assessed against the entry requirements detailed on this course page. Whether or not you have secured funding will not be taken into consideration when your application is assessed. You can find out more about our shortlisting and selection process in our detailed guide to what happens next.

Find out how to manage your application after submission, using our Applicant Self-Service tool.

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