Computer Science

Computer Science

A postgraduate computer science degree allows students to advance their expertise in computational theory, software development, and emerging digital technologies. It provides a strong academic foundation in advanced computing concepts while offering opportunities to specialise in areas such as artificial intelligence, machine learning, cybersecurity, data science, and human-computer interaction.

The programme offers the opportunity to study core subjects including algorithms and complexity, advanced programming, distributed systems, database technologies, and computational modelling. Many courses also integrate research projects, software development assignments, hackathons, and industry collaborations, giving students the chance to apply theoretical knowledge to real-world technological challenges.

Why study Postgraduate Degree in Computer Science?

Studying computer science at postgraduate level is a chance to combine analytical thinking with innovation, preparing graduates for advanced careers in software engineering, data analytics, artificial intelligence, and systems architecture. It also provides a strong foundation for consultancy, entrepreneurship, or doctoral research in cutting-edge areas of computer science.

Entry Requirements

Academic Requirements

  • A Master’s degree (Merit or Distinction) in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, or a closely related technical discipline.

  • Applicants must also hold a Bachelor’s degree with at least a UK 2:1 (Upper Second-Class Honours) or international equivalent in Computer Science or a related quantitative field (e.g. Mathematics, Physics, or Engineering).

  • Candidates must demonstrate strong academic preparation in programming, algorithms, data structures, machine learning, and computational theory.

  • International qualifications must meet UK equivalence standards (verified through UK ENIC, if required).

  • Leading universities (Oxford, Cambridge, Imperial College London, UCL, Edinburgh, and Manchester) typically expect first-class undergraduate results and Distinction-level postgraduate performance.

  • Applicants proposing interdisciplinary research (e.g. AI in healthcare or robotics) should show relevant cross-disciplinary knowledge.

Work Experience Requirements

  • Work experience is not required, but research or technical experience in computing, data science, or engineering is highly valued.

  • Applicants with experience as research assistants, software developers, or data analysts are often preferred.

  • Prior involvement in open-source projects, publications, or technical competitions (e.g., hackathons, Kaggle) can strengthen an application.

  • Industrial experience in software engineering, artificial intelligence, or cybersecurity may be advantageous, especially for applied research projects.

  • For research linked to industry collaborations or professional doctorates, relevant employment in tech or R&D sectors can be beneficial.

English Language Requirements

  • IELTS (Academic): Overall score of 6.5–7.0, with no component below 6.0.

  • TOEFL iBT: Overall score of 90–100, with section scores typically above 22.

  • PTE Academic: Overall score of 62–70, with no component below 62.

  • Applicants who have completed prior degrees in English or in majority English-speaking countries may be exempt from language testing.

  • Some universities (e.g., Oxford, Imperial, and Edinburgh) may require IELTS 7.0 overall for research programmes in Computer Science.

Additional Application Documents

  • Official academic transcripts and degree certificates from all completed qualifications (with certified English translations if applicable).

  • Detailed research proposal (typically 1,500–3,000 words) outlining the proposed research topic, objectives, background, methodology, and potential contribution to the field of Computer Science.

  • Personal statement describing your academic journey, technical expertise, research interests, and motivation for pursuing a PhD.

  • Curriculum vitae (CV) including education, programming skills, research experience, technical projects, publications, and relevant professional experience.

  • Two or three academic references, at least one from a previous supervisor familiar with your research or coding abilities.

  • Proof of English language proficiency (if applicable).

  • Some departments may request a portfolio of technical work (e.g., GitHub repository, published papers, or coding samples).

  • For certain technical programmes, GRE scores may be requested, though this is uncommon in UK universities.

  • Applicants to AI or data science tracks should demonstrate proficiency in key programming languages and tools (e.g., Python, R, TensorFlow, MATLAB, or C++).