A 2:1 or first class honours degree or equivalent in a relevant subject. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
Months of entry
Why take this course?
You will have the opportunity to focus your research interests, with the freedom to investigate how the boundaries of technology can be further expanded. The course is taught within the Faculty of Technology, which has gained national and international recognition for its research into cosmology, artificial intelligence, health care and computing, engineering, and mathematics. This course can also also be achieved through distance learning.
What will I experience?
You will undertake a large research project of your choosing which will match the research profile of one of the following Schools in Computing, Engineering, Maths, Civil Engineering and Surveying, or Cosmology and Gravitation. Your project will be supported through formal research training sessions and you will also benefit from the advice of world leading experts. A feature of this programme is the opportunity to work with a research active member of staff through a Research Internal Placement unit.
What opportunities might it lead to?
The course will provide a thorough grounding should you consider moving towards doctoral studies, or pursue research related positions, roles and activities as a career. You will develop a wide variety of skills, experience and competence throughout your studies, offering further advantages in terms of many employment opportunities.
The course is offered via full-time (one year) and part-time (two years) modes. The following provides an overview of the full-time course content (part-time students will complete the 60-credit Research Preparation and Development unit in the first year and the 90-credit Research Project unit in the second year).
- Research Preparation and Development (60 credits)
- Research Internal Placement Unit (30 credits)
- Research Project Unit (90 credits)
EXAMPLE PROJECT AREAS
- Computational intelligence
- Mobile health
- Networking and security or systems
- Healthcare modelling and informatics
- Cosmic structures formation
- Galaxy dynamics and surveys
- Composite structures
- Renewable energy and sustainability
- Business/systems analysis
- Forensic computing
If you are considering moving towards doctoral studies, or pursue research related positions, roles and activities as a career, this course will provide you with the skills and experience you need. You will also be in an excellent position to apply for any related doctoral training programme, research assistant positions, graduate teaching positions, or general research related roles.
Fees and funding
Qualification and course duration
Course contact details
- Admissions Team
- 023 9284 5566