Natural Computation MRes 12 months Postgraduate Programme By University of Birmingham |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

29,310 GBPTuition Fee/year

Starting Month

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

64+
4.5+
6+
169+
2:1 Honours Degree  in Computer Science or Computer Engineering, or another science or engineering subject with a significant computing component

12 Months
Sep

Tuition fees

Domestic
5,238 GBP
International
29,310 GBP

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:

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