Intelligent Earth (UKRI CDT in AI for the Environment)
About the course
The Intelligent Earth CDT is a four-year doctoral programme designed to equip a new generation of students with advanced AI skills to tackle some of the most pressing environmental issues.
The programme will train a new generation of quantitative environmental data scientists to make substantial contributions in environmental and data sciences through five closely connected themes:
- Climate
- Biodiversity
- Natural hazards
- Environmental solutions
- Core AI/ML research on complex environmental data
The programme is intrinsically interdisciplinary: you will be advised by both an environmental science supervisor and an AI supervisor from two different departments, plus a non-academic partner who also serves as host for a secondment. This course is suitable for quantitative applicants from data science, mathematical, physical and environmental science backgrounds.
The teaching model for all courses will be tailored towards training students to become independent researchers. After introductory lectures, you will be introduced to the corresponding AI tools, frameworks and environmental datasets to apply the taught material in tutorial-based project work. You will work in interdisciplinary groups tackling grand challenges in environmental science of increasing complexity with AI. The programme will be individually tailored to your needs.
Key components of the teaching programme:
- Induction week
- Core courses in foundations of AI/ML and foundations of the four environmental themes
- Responsible AI training
- Computational skills training
- Advanced cross-cohort courses will focus on specific areas of AI applied to grand challenges and associated datasets from the four environmental themes
- Professional skills training
- Teaching skills training
In the second half of year one, you will undertake a three-month research project supervised by one of the potential DPhil supervisors.
In addition to the formal teaching programme, student experience and training will be enriched by:
- Weekly Intelligent Earth seminars
- Annual two-week hackathons
- Annual two-day CDT conference
Course structure
In year one, you will take core courses and computational skills training courses, followed by advanced cross-cohort courses, responsible AI training, and professional skills training modules, culminating in a three-month research project followed by the annual hackathon and conference. Course free periods will be used for consolidation, supervisor matching, and DPhil proposal development.
In year two, you will transition to your primary department and supervisors, and you will start your DPhil research. You will take advanced cross-cohort courses and professional/computational skill training modules. A secondment with non-academic partners may also take place at this stage, but may alternatively take place in year three.
In year three, your focus will be on DPhil research with optional advanced courses and professional/computational skill training modules based on your individual training needs. A secondment with non-academic partners may also take place at this stage if it was not undertaken in year two.
In year four, you will finalise your DPhil research and complete your thesis writing. Professional training will focus on career development, job/fellowship applications and interviews.
Attendance
The course is full-time and requires attendance in Oxford. Full-time students are subject to the University's Residence requirements.
One of the following departments will serve as your primary department from year two onwards, when you will begin your DPhil research:
- Department of Biology
- Department of Computer Science
- Department of Earth Sciences
- Department of Engineering Science
- School of Geography and the Environment
- Department of Physics
- Department of Statistics
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 programme is resourced by UK Research and Innovation (UKRI) with contributions from the university and partners. It will be integrated in Oxford's Doctoral Training Centre and training may take place in a number of locations across the university and students will often work together on problem sets, or in groups, with the support of demonstrators.
You will have access to computational facilities as well as a laptop. When you move out to your department you will also have access to the facilities provided by that department. You will remain a member of the CDT and be able to return to the CDT facilities, based within the Doctoral Training Centre, on Keble Road, to use the facilities there.
You will have access to seminars in all eight departments as well as across the wider university. In addition to the training modules offered by the CDT, you will be able to sign up for a wide range of training courses and modules offered by departments across the university via the University's Researcher Training Tool.
You will also have access to Oxford's wide library network, including the recently refurbished Radcliffe Science Library.
Supervision
The allocation of graduate supervision for this course is the responsibility of the Intelligent Earth CDT 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 Intelligent Earth CDT.
During your first year, you will have a supervisor from the academic leadership of the CDT. Meetings with your supervisor will serve to monitor academic progress as well as to discuss any academic issues or questions arising. When you transition into one of the participating departments to commence you research project in year two, you will be co-advised by two supervisors, one from an environmental science department and one from an AI department. First-year supervisors will act as mentors throughout the programme, providing academic and pastoral guidance.
You will be expected to meet your supervisor at least once every two weeks, averaged across the year, to discuss your progress.
Assessment
You will be assessed continually throughout the first year training courses modules. In the second half you will undertake a three-month research project and will be required to deliver a written report that will be assessed.
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.
You will carry out your DPhil project in the department of your primary supervisor and will gain your DPhil from the department in which you carry out your research project. You will follow the same milestones and assessments as a standard DPhil, so you will have Probationer Research Student (PRS) status until you confirm your status as a DPhil student by term six. By term nine you will confirm status and you will submit your thesis for assessment by the end of term 12.
Graduate destinations
The CDT will train a new generation of quantitative environmental data scientists equipped to make substantial contributions in environmental and data sciences as well as being prepared for a wide range of career paths in academia, research and industry, supported by the CDT's extensive partnership network.
The CDT anticipates Intelligent Earth Graduates to drive innovation and found their own start-ups, supported by the programme’s dedicated training in enterprise, impact, and responsible AI.
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.
We know that factors such as socio-economic circumstances and school performance can make it difficult for students to demonstrate their full potential. This course is taking part in an initiative to use contextual data to help us to better understand your achievements in the context of your individual background. For further details, please refer to the information about improving access to graduate study in the How to apply section of this page.
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. Contextual data may also be used in the assessment of studentships.
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 above qualification should be achieved in one of the following subject areas or disciplines:
- biology
- chemistry
- computer science
- engineering
- earth sciences
- environment sciences
- geography
- geology
- geophysics
- mathematics
- meteorology
- oceanography
- physics
- statistics; or
- other related disciplines such as data science, mathematical, physical and environmental science
For applicants with a bachelor's degree from the USA, the minimum overall GPA that is normally required to meet the undergraduate-level requirement is 3.5 out of 4.0.
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) or GMAT scores are sought.
Other qualifications, evidence of excellence and relevant experience
- The programme aims to develop and apply AI and candidates should have strong quantitative skills. Therefore, as a minimum applicants should have maths skills equivalent to UK A-level or to have done maths as part of their course.
- Candidates will need to demonstrate a broad interest in some or all of the five Intelligent Earth themes: Climate, Biodiversity, Natural Hazards, Environmental Solutions, and Core AI Research in their personal statement and interview.
- Applicants whose previous degree was not explicitly quantitatively based should be able to demonstrate the ability to learn the necessary skills required for successful completion of the course.
- Although it is not required to have a master’s degree, in practice most applicants with a ‘physical science’ background will have completed a four-year integrated master's course.
- Professional experience, especially research experience, is valuable and will be taken into consideration as a substitute for an academic qualification.
- Publications are not expected, but should be included if present.
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.
Test | Minimum overall score | Minimum score per component |
---|---|---|
IELTS Academic (Institution code: 0713) | 7.5 | 7.0 |
TOEFL iBT, including the 'Home Edition' (Institution code: 0490) | 110 | Listening: 22 Reading: 24 Speaking: 25 Writing: 24 |
C1 Advanced* | 191 | 185 |
C2 Proficiency† | 191 | 185 |
*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 are normally held as part of the admissions process and are expected to be held in the second half of February.
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)
This course may require you to obtain an ATAS certificate before you can apply for a visa/immigration permission. If you are offered a place, the academic department will confirm whether an ATAS certificate is required. If so, they will also send you the information you need to apply for one. You can apply for ATAS whilst your offer is conditional and before the Confirmation of Acceptance for Studies (CAS) is issued. Further information about ATAS is available on the student visa webpages.
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 led by the MPLS Doctoral Training Centre, but in year two you will transfer to one of seven departments which will serve as your primary department for the remaining three years of the course.
MPLS Doctoral Training Centre
The MPLS Doctoral Training Centre hosts a number of interdisciplinary centres for doctoral training, established with UK Research Council funding or other sources of funding.
Doctoral training programmes are four year courses providing structured training and research experience in the first year, and a research project leading to a DPhil in subsequent years. The programmes are supported through links with industrial and other partners, and personal and professional development is provided within a cohort. Funding covering fees and living costs is available for the following programmes below. Applications are welcome from prospective graduate students from all over the world.
All candidates are strongly advised to contact the department in which they wish to study before applying, and to check the department’s admissions webpages for studentship application deadlines.
Department of Biology
The Department of Biology is one of the leading UK university departments dedicated to research and teaching in biology, possessing world-class strengths across the breadth of modern biological science research.
The department’s research is organised into five sections:
- Behaviour and Biomechanics
- Ecology and Evolution
- Evolution and Developmental Biology
- Microbiology and Infectious Disease
- Molecular Plant Biology
There is considerable overlap between these sections, with many members of the department working in more than one section, and many research projects that cut across section boundaries. Indeed, a key characteristic of the department is that it works as a well-integrated whole with collaborations developing naturally between researchers working on diverse topics.
The Department of Biology has research strengths spanning from evolution to ecology, behaviour to biomechanics, and development to disease. Researchers in the department work on wide range of organisms, including plants, animals and microbes. This diversity of research interests is reflected in the wide range of research facilities that are used by members of the department, including labs that are for cell and molecular biology, controlled growth facilities, field stations, and unique plant collections. Many of our students also carry out field work at in locations ranging from the Amazon rainforest to the Antarctic.
Within the department are several research institutes, including the Edward Grey Institute (EGI), the Wildlife Conservation Research Unit (WildCRU) , the Interdisciplinary Centre for Conservation Science (ICCS), and the Ineos Oxford Institute for Antimicrobial Research (IOI).
In 2025, the Department of Biology plans to move into the new Life and Mind Building. The Life and Mind Building will transform the education experience for students, providing new laboratories and meeting spaces for undergraduates, postgraduates and researchers, as well as lecture theatres, specialised support laboratories and opportunities for public engagement with our research. It will be the largest building project the University has ever undertaken and will be a catalyst for the advancement of psychological and biological science both at the University of Oxford and on a global platform.
There are two routes into undertaking your doctoral research at the department. You may apply directly to the DPhil in Biology. Alternatively, you may apply to one of the University’s Doctoral Training Programmes. The latter are fully-funded, four-year graduate training programmes which involve a training period of taught courses for around three to six months before deciding on a DPhil project. Applicants are encouraged to consider both entry routes.
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.
At present there are over 70 members of academic staff and over 140 research staff. The department, located in the Wolfson Building on the corner of Keble Road and Parks Road, has close links with government, industry, and other departments within the University, including the Department of Mathematics, Engineering, Physics, Statistics and a number of life sciences departments.
The Computer Science Graduate Society (COGS) is an organisation within the department that provides organised events and outings for the graduate students and research assistants within the lab. The Oxford Women in Computer Science Society (OxWoCS) aims to support and promote women in computer science. The society organises events throughout the year, where you will have the opportunity to meet other students and staff working across different research areas. These events may include weekly coffee meetings, talks by distinguished female speakers, and industry sponsored events.
Department of Earth Sciences
The Earth sciences are the focus of scientific understanding about this and other planets, embracing a wide range of fundamental topics.
Topics studied in Earth sciences include the evolution of life, how climate has changed and will change in future, the nature of planetary surfaces and interiors, and the processes underlying natural hazards like earthquakes and volcanoes.
The emphasis of both teaching and research in the department is on understanding the fundamental principles of geological processes. Theory, measurements, experiments, and observation of natural processes are all essential elements in the Earth sciences, and students with a strong background in all aspects of the physical sciences are encouraged to join the department.
The department offers the latest analytical equipment and powerful computing facilities, supporting research in all aspects of the Earth sciences.
The department’s research is grouped into six areas of focus:
- geophysics and geodynamics
- planetary evolution and materials
- oceanography, climate and paleoenvironment
- paleobiology and evolution
- geodesy, tectonics, volcanology and related hazards
- Earth resources.
It is not unusual for research topics to be multidisciplinary, and for students to have more than one supervisor covering different aspects of the project.
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.
School of Geography and the Environment
The School of Geography and the Environment undertakes world-class interdisciplinary research, addresses societal and environmental problems, and advances knowledge within an intellectually vibrant, interdisciplinary research environment that combines natural and social sciences and has geography at its core.
With over 200 graduate students from a range of nationalities, professional and disciplinary backgrounds, the School of Geography and the Environment at Oxford is one of the largest, most diverse and vibrant in the world.
Researchers work across many fields within the School of Geography and the Environment. Many are based in our three research centres: the Environmental Change Institute, Smith School of Enterprise and Environment, and the Transport Studies Unit.
The school offers a number of graduate courses, ensuring that a suitable opportunity exists at Oxford regardless of whether you are planning a career in research, teaching or an environment-related profession, preparing for a career change or to take a career break.
There are several one-year MSc courses combining taught course modules with a dissertation. These courses offer a framework of core lectures, field courses, electives, and workshops and symposia for learning. Individual classes reflect the research interests of individual faculty and often mix seminar style teaching with discussions or practical exercises.
The two-year MPhil courses combine a substantial research component with master’s-level study, and the DPhil is an advanced research degree which involves three to four years of full-time original, independent research or a part-time pathway which involves six to eight years of research.
Research is supported in key areas of environmental, human and physical geography, from studies on migration, geopolitics, cultural diversity, biogeography, climate change, flood risk, desertification and many other areas.
The department has study spaces available to DPhil research students, a common room for students on taught MSc courses and a computer room available for all graduate students.
Department of Physics
As a graduate student at Oxford’s Department of Physics, you will work alongside world experts and have access to the department’s world-class facilities.
Graduate students also get to benefit from the close relations the department foster’s with other facilities in the UK and around the world. In the UK, these include the leading science and innovation campus at Harwell home to the Rutherford Appleton Laboratory and Diamond Light Source synchrotron among others. Internationally, it extends to the Large Hadron Collider at CERN, T2K in Japan, DUNE in the USA and large telescopes around the world.
Each year, the department welcomes approximately 90 graduate research students to study for a 3 to 4-year DPhil research degree – which is equivalent to a PhD. A taught masters’ degree course is offered joined by the department and the Mathematical Institute and welcomes approximately 50 students annually.
The department’s research students have access to world-class facilities and resources, from the ultra-low vibration and ultra-low temperature labs in the state-of-the-art Beecroft Building, to the in-house specialist research facilities, mechanical and electronic workshops and technicians.
Research students can choose from a range of specialisms across the six sub-departments of astrophysics; atmospheric, oceanic and planetary physics; atomic and laser physics; condensed matter physics; particle physics; and theoretical physics. Each of these sub-departments is autonomous, although many of the research projects available are interdisciplinary.
Department of Statistics
The University's Department of Statistics is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science.
You will be actively involved in a vibrant academic community by means of seminars, lectures, journal clubs, and social events. Research students are offered training in modern probability, stochastic processes, statistical methodology, computational methods and transferable skills, in addition to specialised topics relevant to specific application areas.
Much of the research in the Department of Statistics is either explicitly interdisciplinary or draws motivation from application areas, ranging from genetics, immunoinformatics, bioinformatics and cheminformatics, to finance and the social sciences.
The department is located on St Giles, in a building providing excellent teaching facilities and creating a highly visible centre for statistics in Oxford. The building has spaces for study and collaborative learning, including the library and large interaction and social area on the ground floor, as well as an open research zone on the second floor.
Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF).
Funding
All applicants who are offered a place on this course will be offered a fully-funded scholarship, covering all course fees for the duration of their course and a living stipend.
Further information about funding opportunities for this course can be found on the department's website.
Costs
Annual fees for entry in 2025-26
Fee status | Annual Course fees |
Home | £10,070 |
Overseas | £33,370 |
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
CDT funded studentships come with an additional research training support grant (RTSG) to cover costs of associated equipment, research and travel. Individual research projects come with variable research costs and students will need to discuss these with their supervisor and plan a budget for their project. In some cases students may need to apply for additional funding, either from the RTSG or from college or other sources. Students should always involve their supervisor with such funding requests.
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).
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.
The following colleges accept students on the Intelligent Earth (UKRI CDT in AI for the Environment):
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:
- doctoral level eg a Doctor of Philosophy (DPhil) or Centre for Doctoral Training (CDT) course; and
- offered by one of the departments in the MPLS Division or one of the departments in the Medical Sciences Division.
If you apply to Intelligent Earth (UKRI CDT in AI for the Environment) and/or the DPhil in Interdisciplinary Life and Environmental Science, one of the following courses offered by the Social Sciences Division will also be considered eligible:
This special arrangement is possible due to the close association between these courses. No other exceptions to the eligibility criteria will be considered.
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?
Informal enquiries should be made to the Intelligent Earth CDT administrator in the first instance.
You are encouraged to communicate with academics working in your area of interest to discuss potential research topics and the possibility of being offered supervision. Profiles of academics with whom you might wish to study can be found on the CDT website.
Improving access to graduate study
This course is taking part in initiatives to improve the selection procedure for graduate applications, to ensure that all candidates are evaluated fairly.
Socio-economic data (where it has been provided in the application form) and your contextual statement (if you choose to provide one) will be used as part of an initiative to contextualise applications at the different stages of the selection process. Once academic shortlisting has taken place, we will use also information on ethnicity as part of an initiative to ensure that applicants who identify as Black British are invited to interview.
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.
For this course, the application form will include questions that collect information that would usually be included in a CV/résumé. You should not upload a separate document. If a separate CV/résumé is uploaded, it will be removed from your application.
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
If you are not applying for a specific project, you do not have to specify one at this stage. Instead you should indicate your preferred CDT Research theme under 'Proposed field and title of research project'. If there are pre-defined projects or topic areas of interest to you, you can indicate this in your personal statement. You retain the right to change your research stream up to the point where you submit your research proposal in the second term, so this selection is not binding at application stage.
Proposed supervisor
It is not necessary for you to identify a potential supervisor in your application.
Students will be matched with supervisors and partners throughout the first year of training. Nonetheless, you are encouraged to make contact with potential supervisors throughout the application process. This may lead to the development of a project idea, but there is no commitment on either side.
Referees:
Three overall, of which two academic are preferred
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.
Academic references are preferred. However, up to two professional references can be accepted if you have relevant work experience.
Your references will support proven and potential academic excellence in terms of intellectual ability, academic achievement, motivation, communication skills and ability to work in a group.
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.
Contextual statement
If you wish to provide a contextual statement with your application, you may also submit an additional statement to provide contextual information on your socio-economic background or personal circumstances in support of your application.
It is not necessary to anonymise this document, as we recognise that it may be necessary for you to disclose certain information in your statement. This statement will not be used as part of the initial academic assessment of applications at shortlisting, but may be used in combination with socio-economic data to provide contextual information during decision-making processes.
Please note, this statement is in addition to completing the 'Extenuating circumstances’ section of the standard application form.
You can find more information about the contextual statement on our page that provides details of the continuing pilot programme to improve the assessment procedure for graduate applications.
Statement of purpose:
A maximum of 500 words
Your statement should be written in English and should focus on your motivation, research interests and career ambitions in the area of the CDT, rather than on other personal achievements, interests and aspirations. It should refer directly and specifically to one or more of the themes of the CDT.
It will be normal for your ideas and goals to change in some ways as you participate in the programme and you are not committed to work in the specific subject area. You should nevertheless make the best effort to demonstrate your current interests and aspirations.
Your statement will be assessed for:
- your reasons for applying
- your ability to present a coherent case
- your commitment to the subject, beyond the requirements of the degree course
- your preliminary knowledge of the subject area and research techniques
- your reasoning ability
- your ability to absorb new ideas
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.
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.
ADMISSION STATUS
Closing soon - applications close on Wednesday 8 January 2025 at 12:00 midday UK time
Deadlines
12:00 midday UK time on:
Wednesday 8 January 2025
Latest deadline for most Oxford scholarships
Final application deadline for entry in 2025-26
Full Time Only | |
---|---|
Course code | R30_1 |
Expected length | 4 years |
Places in 2025-26 | c. 18 |
Applications/year* | 231 |
Expected start | 6 October 2025 |
English language | Higher level required |
*One year of applications (for entry in 2024-25)
Further information and enquiries
This course is led by the MPLS Doctoral Training Centre
- Course page on the Intelligent Earth website
- Funding information from the CDT
- Academic and research staff at the CDT
- MPLS Doctoral Training Centre website
- Mathematical, Physical and Life Sciences
- Residence requirements for full-time courses
- Postgraduate applicant privacy policy
Course-related enquiries
Advice about contacting the department can be found in the How to apply section of this page