Natural Computation
Entry requirements
-
2:1 Honours Degree
in Computer Science or Computer Engineering, or another science or engineering subject with a significant computing component
Months of entry
September
Course content
Immerse yourself in the field of natural computation with our MRes course. You'll develop a strong foundation for a research and development career in industry or academia.
Delve into the multidisciplinary area of computational systems that use ideas and gain inspiration from natural systems. Learn what’s involved with becoming a scientific researcher as our course combines core principles with innovative research.
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/deep learning and theory of natural computation.
- Study computational systems inspired by nature, covering evolutionary algorithms, nature-inspired optimisation, and artificial neural networks
- Work on an in-depth research project, often industry-driven, to investigate a chosen topic in natural computation
- Gain transferable knowledge through our compulsory Research Skills module that will equip you for research-oriented careers in industry or academia
Information for international students
Fees and funding
Qualification, course duration and attendance options
- MRes
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Admissions Team
- eps-apply@contacts.bham.ac.uk