| Program start date | Application deadline |
| 2024-07-01 | - |
| 2024-10-01 | - |
| 2025-01-01 | - |
Program Overview
The Learning in Multi-Agent Systems (MAST) PhD program at Loughborough University focuses on developing multi-agent learning algorithms for environments with multiple learning agents. This full-time (3 years) or part-time (6 years) program offers a comprehensive curriculum and research-oriented teaching, preparing graduates for careers in artificial intelligence, robotics, and multi-robot systems development. Loughborough's strong research impact ensures high-quality teaching and access to cutting-edge knowledge.
Program Outline
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Outline:
Content:
The MAST program focuses on building multi-agent learning algorithms for environments where multiple learning agents coexist. This involves developing, implementing, and evaluating these algorithms.
Program Structure:
This program is a fully-fledged
Course Schedule:
The program starts three times per year, in
Uniqueness:
One particularly relevant point mentioned in the context regarding teaching is Loughborough's impressive research impact, with 94% of its research impact rated world-leading or internationally excellent.
Possible Career Paths:
- Multi-robot systems development
- Robotics
- Artificial intelligence
Opportunities and Outcomes:
The MAST PhD prepares graduates for a range of research, teaching, and industrial careers in areas like artificial intelligence and robotic systems.
Other:
- Project reference code: CO/SF-Un1/2024
- Location: Loughborough
UK fee: £4,712 Full-time degree per annum International fee: £26,000 Full-time degree per annum University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Fees are reviewed annually and are likely to increase to take into account inflationary pressures.
Entry Requirements:
UK Applicants:
- Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in a mathematics-related degree.
- Entry requirements are listed using standard UK undergraduate degree classifications.
- The required qualifications are listed based on the specific educational system of each country.
- For example, for applicants from India, the required qualifications are listed based on institutions and the National Institutional Ranking Framework.
- Additionally, the University offers "special consideration" for applicants from a small number of Chinese universities specializing in business, management, finance, or creative arts.
- The full list of these universities and the Shanghai band under which they will be considered can be found in the provided context.
- Students who do not meet the above requirements may occasionally be considered if they have a relevant degree, can show good grades in relevant subjects, and/or have substantial relevant work experience.
Language Proficiency Requirements:
For non-native English speakers:
- The University requires applicants to demonstrate English language proficiency.
- The specific requirements vary depending on the applicant's country of origin and qualifications.
