Natural Computation

Entry requirements

A 2:1 Honours degree in Computer Science or Computer Engineering, or another science or engineering subject with a significant computing component. Students who have not studied in English must pass a recognised English test. This is a highly selective Masters programme and only a limited number of places are available.

A statement of research

The MRes in Natural Computation is research oriented, and includes two mini-projects and a summer project, written in the style of a peer-reviewed scientific journal paper. Your application should include two sides of A4 with research interests and tentative ideas that you plan to develop for these three projects. They should normally be close to the research interest of the School (please consult the web pages of lecturers, professors and research staff).

Once you are admitted, you will have an opportunity to revise or change your research plans after discussion with your project supervisors. But it is important at application time to know that you are interested and have potential skills for research, as well as some tentative plans. The Statement of Research is an opportunity for you to demonstrate this.

Months of entry

September

Course content

There is an increasing need from industry for professionals with knowledge of natural computation techniques. Graduates from our Natural Computation Master of Research (MRes) develop a solid foundation to pursue a research and development career in industry or further studies.

This multidisciplinary area is the study of computational systems that use ideas and gain inspiration from natural systems. The MRes programme explores current topics in natural computation, such as evolutionary algorithms, co-evolution, evolutionary design, nature-inspired optimisation techniques, evolutionary games, novel learning algorithms, artificial neural networks and theory of natural computation.

The Natural Computation MRes is a Masters degree by research. This means that you are taught core principles and then develop these skills by doing interesting, innovative research, supported by academic staff and peers. This is structured so that you learn how to plan, organise and manage your time; you learn what it is to be a scientific researcher; you help contribute to the development of new knowledge; you learn intellectual skills such as argumentation, exposition, and reasoning; and you develop as an individual by improving your communication skills, writing, collaborative working and creativity.

The mini project module consists of a research project on the in-depth investigation of a chosen topic coming from industry (strongly encouraged) or academia.

The compulsory Research Skills module provides you with the basis of transferable knowledge and skills necessary for a successful research-oriented career in industry or academia, with a particular orientation to computing-based disciplines.

Your research thesis project consists of solving a substantial problem using natural computation techniques (including hybrid techniques). Industrial co-supervisors are used whenever appropriate, and you will be required to apply the knowledge and skills you have acquired to solve a difficult problem.

Information for international students

Fees and funding