PhD applicants will normally be expected to hold a Master's degree in a relevant area. Applicants for MPhil (Master of Philosophy) will normally be required to have a first or second class honours degree. Those accepted for registration for MPhil may be allowed to apply for transfer to PhD registration at a later date, subject to satisfactory research progress. You will need to complete the research degree application form and provide a statement of your initial research ideas (we advise between 1,000 and 2,000 words, with full referencing to relevant literature).
Months of entry
The School of Computing and Digital Technology welcomes enquiries relating to hardware of telecommunications, computer networks, games technology, electronic engineering and software engineering. Areas of research in which staff are currently active include gaming, e-business, home automation, learning technologies, intelligent systems, security and forensics, robotics and cloud computing.
An MPhil is a “research Masters’ degree”, is based on your own research, and is equivalent to 40,000 words. It can be a stepping-stone to PhD-level work, where you transfer to PhD following appropriate work (you don’t have to write up the MPhil). A PhD, “Doctor of Philosophy”, is the highest-level qualification, based on individual and detailed research, resulting in a thesis of about 80,000 words.
The School offers specialist supervision if you wish to pursue research programmes for the award of MPhil and/or PhD. You may undertake your research either full-time or part-time. If you are accepted for MPhil/PhD research you will be assigned to a Director of Studies (your main supervisor) and at least one second supervisor. There will be a programme of training workshops and seminars to support you.
As a research student in Computing and Digital Technology, you will exposed to a wide range of academics. You will be encouraged to take part in various activities, seminars, to publish in collaboration with your supervisors and to take part in research conferences nationally and (where possible) internationally. The Faculty as a whole also has a growing population of research students who organise social and academic events.
Design of Networks; Genetic Algorithms; Knowledge-based Systems; Neural Networks; E-commerce and E-business; Knowledge Elicitation and Knowledge Management; Information Networks; Information Systems Strategy; Internet Technologies.
Fees and funding
Scholarships may be available.
Qualification and course duration
Course contact details
- Course Enquiries Team
- 0121 331 5595