Computing

Entry requirements

For MPhil

• First or Upper Second Class Honours Degree or an approved equivalent award

or

• Research or professional experience which has resulted in appropriate evidence of achievement

For PhD

• Postgraduate Masters Degree in a discipline which is appropriate to the proposed programme of study

or

• First or Upper Second Class Honours Degree or equivalent award in an appropriate discipline

or

• Research or professional experience at postgraduate level which has resulted in published work, written reports or other appropriate evidence of achievement

Months of entry

January, September

Course content

We welcome applications to undertake research towards MPhil and PhD degrees in Computing.

We offer students either an MPhil (Master of Philosophy) in Computing or PhD (Doctor of Philosophy) in Computing.

Key features

• Supervision by experienced researchers in areas such as artificial intelligence, machine learning, cybersecurity and human-computer interaction.
• Opportunities to engage with applied, theoretical, and interdisciplinary research in the computing discipline across a wide range of application domains including education, healthcare and business. Access to specialist facilities including high performance computing, prototyping and fabrication facilities and virtual learning environments.
• Membership of active research groups such as the Digital Innovation and Intelligent Systems Research Group.
• Tailored supervision and support through the Researcher Development Programme (RDP)

The Computing MPhil and PhD programmes at the University of Worcester supports a wide range of research approaches, including applied, theoretical, and interdisciplinary investigations. The programmes foster a dynamic and collaborative research culture within the Business School and the wider University.

Careers

Career benefits of pursuing a PhD or MPhil in Computing at the University of Worcester:

• Specialist expertise for high-demand sectors:
  Develop advanced skills in artificial intelligence, cybersecurity, machine learning, and human-computer interaction—fields with strong global demand across industries.

• Real-world research impact:
  Engage in applied and interdisciplinary research with relevance to healthcare, education, business, and social innovation, enhancing your ability to solve complex, real-world problems.

• Enhanced career mobility:
  Access to cutting-edge facilities and supervision prepares graduates for roles in academia, R&D, tech leadership, and consultancy, with opportunities to influence digital transformation.

• Professional recognition and visibility:
  Participate in the Digital Innovation and Intelligent Systems Research Group and benefit from opportunities to publish, present at conferences, and collaborate across disciplines.

• Flexible and supportive study environment:
  Choose full-time or part-time study, with tailored supervision and access to a dedicated research student office, enabling career development alongside research.

• Leadership in emerging technologies:
  Build a portfolio in areas like behavioural tech, causal machine learning, and cloud security, positioning yourself as a thought leader in digital innovation and intelligent systems.

Information for international students

International applicants will be required to demonstrate that they have the appropriate level of written and spoken English.

For MPhil/PhD this is an IELTS score of 6.5 with a minimum score of 6.0 in every component.