Natural Computation Master of Research (MRes)

Program Overview

The Natural Computation MRes at the University of Birmingham equips students with foundational skills in natural computation, a field inspired by natural systems. Through research-oriented coursework and a thesis, students develop research and innovation competencies in evolutionary algorithms, optimization techniques, and neural networks. Graduates are highly sought after for careers in industry or further academic pursuits, with the program fostering collaborations with companies like Honda and BT.

Program Outline

Degree Overview:

The Natural Computation Master of Research (MRes) at the University of Birmingham is a 12-month postgraduate research degree designed to equip graduates with a strong foundation for research and development careers in industry or further academic studies. The program focuses on the multidisciplinary field of natural computation, which draws inspiration from natural systems to develop computational systems. The MRes program explores current topics in natural computation, including:

• Evolutionary algorithms
• Co-evolution
• Evolutionary design
• Nature-inspired optimization techniques
• Evolutionary games
• Novel learning algorithms
• Artificial neural networks
• Theory of natural computation
The program emphasizes a research-oriented approach, where students learn core principles and then apply these skills to conduct innovative research projects under the guidance of academic staff and peers. This structure fosters the development of essential research skills, including:
• Planning and time management
• Scientific research methodology
• Knowledge creation and contribution
• Intellectual skills like argumentation, exposition, and reasoning
• Communication, writing, collaboration, and creativity

Outline:

The Natural Computation MRes program is structured around a combination of core modules, optional modules, and a research thesis.

Core Modules:

• Research Skills (10 credits): This module provides students with the transferable knowledge and skills necessary for a successful research-oriented career in industry or academia, with a particular focus on computing-based disciplines.
• Mini-project (30 credits): This module involves an in-depth research project on a chosen topic, ideally from industry or academia.
• MRes Thesis (120 credits): This is the cornerstone of the program, requiring students to solve a substantial problem using natural computation techniques, including hybrid techniques.
Industrial co-supervisors are involved whenever appropriate.

Optional Modules (20 credits):

Students must choose 20 credits from a selection of optional modules, including:

• 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

Assessment:

• Taught modules: Assessed through a combination of written examinations and continuous assessment.
• Mini-project: Assessed by a written report.
• Thesis: Examined by an internal and an external examiner.

Teaching:

• The program is led and run primarily by the Natural Computation Group and CERCIA in the School of Computer Science.
• The group comprises over 40 full-time researchers, including teaching staff, research fellows and associates, PhD students, and academic visitors.

Careers:

• The program has strong links with industry, particularly through CERCIA, including companies like Honda, BT, Thales, Unilever, GSK, Rolls Royce, etc.
• Students are encouraged to collaborate with industrial partners on their research projects.
• Opportunities exist for students to undertake their project work within a company.
• The University Careers Network provides tailored career guidance, work experience opportunities, mentoring, global internships, placements, and support with CVs and job applications.

Other:

• The program is highly selective, with a limited number of places available.
• The University of Birmingham's School of Computer Science has a strong research focus in areas like artificial intelligence, security and privacy, human-computer interaction, and theory of computation sciences.

Annual Tuition Fees 2024/25 academic year £4,786 UK students, full-time £27,360 International students, full-time