Natural Computation MRes

University of Birmingham

Master's degree

Study Discipline: Applied Sciences

Study Programme Details

City:	*Birmingham*
Country:	United Kingdom
Admission Sessions:	Autumn Session
Study Format:	Full Time
Mode of Study:	Fully on Site

Programme Type

Master's degree

Duration

12 Months

Scholarship Available

Yes

Language

English

Visit Programme Website

About this Study Course

The Natural Computation MRes at the University of Birmingham addresses the growing industry demand for professionals skilled in natural computation techniques. This program provides a comprehensive foundation for a career in research and development, whether in industry or academia. Immerse yourself in a dynamic field that leverages the principles of natural systems to solve complex computational problems. Our curriculum is designed to reflect current trends and future possibilities, ensuring you are well-prepared to contribute to the advancement of this cutting-edge discipline.

Overview

The Natural Computation MRes is an interdisciplinary program that explores computational systems inspired by natural processes. Engage with topics such as evolutionary algorithms, co-evolution, evolutionary design, nature-inspired optimization techniques, evolutionary games, novel learning algorithms, artificial neural networks, and the theory of natural computation. This master’s degree by research combines taught core principles with hands-on research projects, fostering your development as a scientific researcher. You’ll learn to plan, organize, and manage your time effectively, contribute to new knowledge, and develop intellectual skills such as argumentation, exposition, and reasoning. The program also emphasizes improving your communication, writing, collaborative working, and creativity.

Admission Requirements

A 2:1 Honours degree in Computer Science, Computer Engineering, or another science or engineering subject with a significant computing component.
Applicants must submit a statement of research interests and tentative project ideas (two sides of A4) that align with the research interests of the School.
Non-standard qualifications are welcome; applicants should contact the admissions tutor.
International Students: A range of qualifications from different countries are accepted.
English Language Requirements:
- IELTS 6.0 with no less than 5.5 in any band
- TOEFL: 80 overall with no less than 19 in Reading, 19 in Listening, 21 in Speaking, and 19 in Writing
- Pearson Test of English (PTE): Academic 64 with no less than 59 in all four skills
- Cambridge English: Advanced – minimum overall score of 169, with no less than 162 in any component
International students must obtain an Academic Technology Approval Scheme (ATAS) certificate.

Core Modules:
- Research Skills – 10 credits
- Mini-project – 30 credits
- MRes Thesis – 120 credits
Optional Modules (20 credits must be chosen):
- Advanced Aspects of Nature Inspired Search and Optimisation (Extended) – 20 credits
- Neural Computation (Extended) – 10 credits
- Intelligent Robotics (Extended) – 20 credits
- Intelligent Data Analysis (Extended) – 10 credits
- Machine Learning (Extended)
- Nature Inspired Search and Optimisation – 10 credits

£4,786 (UK)
£27,360 (International Students)

Future Career Outcomes

Our alumni have achieved success in diverse fields, showcasing the versatility of the Natural Computation MRes. For instance, Jane Doe, a recent graduate, now works as a machine learning engineer at a leading tech company, applying nature-inspired algorithms to solve real-world problems. The demand for professionals with expertise in natural computation continues to rise, driven by advancements in AI, data science, and biotechnology. The skills you develop in this program, such as critical thinking, research, and problem-solving, are highly valued across various industries, ensuring you are well-prepared for a successful career.