PhD

Computer Science

Study mode:On campus Study type:Full-time Languages: English
Local:$ 9.71 k / Year(s) Foreign:$ 30.1 k / Year(s) Deadline: Nov 18, 2025
1 place StudyQA ranking:9174 Duration:4 years

Photos of university / #oxford_uni

The Bachelor of Arts (BA) in Computer Science at the University of Oxford offers a comprehensive and rigorous exploration of the fundamental principles and advanced topics in computer science. Designed for students with a keen interest in understanding the theoretical foundations as well as practical applications of computing, this program integrates a broad spectrum of subjects—from algorithms and programming languages to system architecture and data structures. Throughout the course, students develop critical thinking, problem-solving, and analytical skills that are essential for careers in technology, academia, research, and industry. The curriculum emphasizes both mathematical rigor and real-world relevance, ensuring graduates are well-equipped to tackle complex computational challenges and innovate in rapidly evolving technological landscapes. Students benefit from a distinguished faculty renowned for research excellence, state-of-the-art facilities, and a vibrant academic community. The program combines lectures, tutorials, practical lab sessions, and independent research projects, fostering a collaborative learning environment. Opportunities for interdisciplinary study and participation in cutting-edge research projects further enhance the educational experience. Upon completion, graduates will possess a deep understanding of core computing principles, programming mastery, and the ability to apply theoretical knowledge to practical problems. The Oxford Computer Science program prepares students for a diverse array of careers, including software engineering, data science, cybersecurity, artificial intelligence, and further postgraduate research. Committed to academic excellence and fostering innovation, the course aims to cultivate the next generation of computer scientists and technological leaders.

The DPhil in Computer Science will introduce you to cutting edge research whilst studying in a beautiful, historic setting that is both student- and family-friendly. Supervision is available via the department's research themes together with cross-disciplinary research in areas such as linguistics, biology, medicine, quantum foundations and quantum computation.

The course combines individual supervision with a selection of lecture courses, transferable skills training and opportunities to participate in leading-edge research activities. The department recruits students from Oxford’s high-quality undergraduate and masters’ degrees, as well as nationally and internationally, and is pleased to be part of the Centres for Doctoral Training in Cyber Security and Autonomous Intelligent Machines and Systems (AIMS).

During your study at Oxford, the department hopes to share with you some of the excitement about the topics the department investigates, and of the understanding the department has gained from research into basic theory and by industrial collaboration.

The development of computer science at Oxford has been heavily supported by research grant funding from the government, EU and science foundations, as well as donations and sponsorship from the department's industrial partners. The department is committed to offering you the best supervision and to providing a stimulating research environment.

During your first year you are expected to complete three pieces of assessed work - one piece comes from attendance at a taught course and taking the examination, one has to be a paper written during the course of one term, which may be publishable, and the final piece can be from another taught course or a specially designed reading course

The work is assessed either by the supervisor or the examiner for a taught course.  You are also expected to complete a literature review which should survey the state of the art in your chosen area. It should explain the background of the proposed research, the results that have been obtained by other researchers, and the conclusions that may be drawn. You are expected to give a clear and coherent account, demonstrating competence in organising ideas and presenting them in a scholarly manner. 

You will also be offered transferable skills training and are required to give presentations to your research groups.

This is a full time course and you should meet regularly with your supervisor.  You are expected to continue working outside of the University Terms with an annual holiday of approximately eight weeks.  On completion of the course you will graduate with the degree of Doctor of Philosophy.

Applicants are normally expected to be predicted or have achieved a first-class or a strong upper second-class undergraduate degree with honours (or equivalent international qualifications) in either (i) a four-year master's degree in a relevant subject, or (ii) a three-year BSc/BA degree followed by excellent performance in a master's degree in a relevant subject, where relevant subjects typically include computer science or mathematics.

Students require either a distinction in a master's or a four-year undergraduate degree - a four-year sandwich degree with one year spent in industry is not an acceptable equivalent. 

Please note that entrance to the course is very competitive and most successful applicants have a first-class degree or the equivalent.

For applicants with a degree from the USA, the minimum GPA sought is 3.6 out of 4.0.

If you hold non-UK qualifications and wish to check how your qualifications match these requirements, you can contact the National Recognition Information Centre for the United Kingdom (UK NARIC).

No Graduate Record Examination (GRE) or GMAT scores are sought.

How to apply

Before making a formal application, you are encouraged to contact the department's Graduate Studies Administrator, providing an up-to-date copy of your CV/résumé and a research proposal or a statement of your research interests along with your enquiry.

Before submitting this information, a good starting point is to look at the research currently being done in the department and the profiles of academic staff. Academic staff profiles contain information on their research interests and will help you identify potential supervisors. 

You can contact potential supervisors directly but remember they are very busy and may not reply immediately. You should be brief and include some information about your background, your research interests and any relevant experience. You might like to introduce yourself by explaining why their work interests you enough to motivate you to apply to study with them for the next three or four years and you may have read some of their publications. Alternatively you may prefer to send your email to the Graduate Studies Administrator who can then contact potential supervisors on your behalf.

The set of documents you should send with your application to this course comprises the following:

  • Official transcript(s)
  • CV/résumé
  • Research proposal/statement of purpose: Around two pages
  • References/letters of recommendation: Three overall, all of which must be academic

ENGLISH LANGUAGE REQUIREMENTS

Standard level

est

Standard level scores

Higher level scores

IELTS Academic 
Institution code: 0713

7.0 Minimum 6.5 per component  7.5  Minimum 7.0 per component 

TOEFL iBT 
Institution code: 0490

100

Minimum component scores:

  • Listening: 22
  • Reading: 24
  • Speaking: 25
  • Writing: 24
110

Minimum component scores:

  • Listening: 22
  • Reading: 24
  • Speaking: 25
  • Writing: 24
Cambridge Certificate of Proficiency in English (CPE) 185

Minimum 176 per component

191 

Minimum 185 per component

Cambridge Certificate of Advanced English (CAE) 185

Minimum 176 per component

191 

Minimum 185 per component

Financing for the Computer Science program at the University of Oxford is primarily handled through a range of scholarships, grants, and loan options available to both domestic and international students. The university offers numerous funding opportunities aimed at supporting students throughout their academic journey. Scholarships such as the Rhodes Scholarship, Oxford-Rhodes Trust, and other college-specific awards provide full or partial tuition coverage along with maintenance stipends. Additionally, the university participates in government loan schemes, like the UK Student Loans, which students can access to finance their studies. For international students, external funding sources such as government sponsored scholarships from their home countries, private foundations, and charitable organizations may also be available. The university's financial aid office provides guidance on eligibility and application processes for these funding opportunities. Tuition fees vary depending on the student's status (UK, EU, or international) and are subject to annual revision. Students are encouraged to explore external funding sources early on, as application deadlines often precede academic admissions. In addition to scholarships and loans, Oxford University sometimes offers bursaries and work-study programs that enable students to earn supplementary income during their studies. The university is committed to ensuring that financial barriers do not prevent talented students from studying at Oxford and actively promotes awareness of available funding options. Students are advised to consult the official university website and contact respective colleges or the admissions office for the most accurate and detailed information regarding financial support, eligibility criteria, application deadlines, and the full scope of available funding opportunities for the Computer Science program.

The Bachelor of Arts in Computer Science at the University of Oxford is a rigorous and comprehensive undergraduate program designed to develop students' understanding of foundational concepts and advanced topics in computing. The course provides a blend of theoretical principles and practical skills, equipping graduates with the ability to analyze complex problems, develop innovative solutions, and adapt to rapidly changing technological environments. Students explore a broad curriculum that includes algorithms, programming languages, systems architecture, software engineering, artificial intelligence, machine learning, data science, and computational theory. The program emphasizes mathematical foundations necessary for understanding computing principles, fostering analytical thinking and problem-solving abilities.

Throughout the course, students have the opportunity to engage in both individual and collaborative projects, often working on real-world problems and research supervised by leading academics in the field. The curriculum is designed to be flexible, enabling students to tailor their studies towards areas such as cybersecurity, data analysis, machine learning, or theoretical computer science, depending on their interests and career aspirations. The University of Oxford provides state-of-the-art facilities, including access to specialized laboratories and research centers, to support practical learning and innovative research initiatives.

The academic environment encourages critical thinking, intellectual curiosity, and the development of communication skills necessary for both academic and industry roles. Graduates of the program are well-prepared for careers in software development, data analysis, research, or for further postgraduate study. The course duration is typically three years, with options for integrated master's programs or joint degrees. Students benefit from Oxford's extensive network of industry contacts, alumni, and academic partnerships, offering numerous opportunities for internships, placements, and collaborative projects.

The application process is competitive, requiring strong academic records, particularly in mathematics and sciences, and a demonstrated interest in computing. The program's assessment involves written examinations, coursework, and project work, ensuring a thorough evaluation of students’ knowledge and skills. The Oxford Computer Science course is internationally recognized for its excellence, rigorous academics, and contribution to the advancement of computing knowledge globally.

Similar programs:
Study mode:On campus Languages: English
Local:$ 28.7 k / Year(s) Foreign:$ 54.4 k / Year(s)
Deadline: Jun 29, 2026 6 place StudyQA ranking: 6592
Study mode:On campus Languages: English
Local:$ 43.2 k / Year(s) Foreign:$ 43.2 k / Year(s)
Deadline: Jan 5, 2026 147 place StudyQA ranking: 8033
Study mode:On campus Languages: English
Local:$ 164 / Year(s) Foreign:$ 164 / Year(s)
Deadline: Sep 2, 2025 401–500 place StudyQA ranking: 10602
Study mode:On campus Languages: English
Local:$ 48.9 k / Year(s) Foreign:$ 48.9 k / Year(s)
Deadline: Dec 15, 2025 9 place StudyQA ranking: 7837
Study mode:On campus Languages: English
Local:$ 25.6 k / Year(s) Foreign:$ 25.6 k / Year(s)
Deadline: Dec 15, 2025 117 place StudyQA ranking: 7235
Study mode:On campus Languages: English
Local:$ 43.2 k / Year(s) Foreign:$ 43.2 k / Year(s)
Deadline: Jan 1, 2026 124 place StudyQA ranking: 8032
Study mode:On campus Languages: English
Local:$ 67.6 k / Year(s) Foreign:$ 67.6 k / Year(s)
Deadline: Dec 6, 2025 2 place StudyQA ranking: 10074
Study mode:On campus Languages: English
Foreign:$ 51.1 k / Semester(s)
Deadline: Oct 1, 2025 201–250 place StudyQA ranking: 7680