12 monthsProgramme duration
29,310 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MRes
Study Level
Masters
Study Mode
On Campus
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.
Course highlights
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.
- Break new ground with our research in the theory and practice of computational systems and their applications
- 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
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MRes
Study Level
Masters
Study Mode
On Campus
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.
Course highlights
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.
- Break new ground with our research in the theory and practice of computational systems and their applications
- 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
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
Get closer to your dream programme
Your consent preferences have been set.
Time to start exploring.
Your account has been removed.
You can still browse the site or sign up again once you have parental consent.
Get closer to your dream programme