The University of Surrey offers a groundbreaking online Master of Science (MSc) in People-Centred Artificial Intelligence, setting a new standard for AI education in the United Kingdom. This innovative programme combines rigorous technical training with a strong focus on ethical, social, and regulatory aspects of AI, preparing students to become responsible leaders in the rapidly evolving field of artificial intelligence.  

The online MSc in People-Centred Artificial Intelligence is a 24-month part-time course designed to provide a comprehensive understanding of AI while placing human considerations at the forefront of technological innovation. Shaped by the pan-university Surrey Institute for People-Centred AI (PAI), this unique programme stands out for its cross-disciplinary approach, blending technical expertise with critical insights into the societal impact of AI. 

Entry Requirements 

To be considered for this programme, applicants should meet the following criteria: 

• Academic Qualifications: A minimum of a Lower Second-Class Honours (2:2) UK undergraduate degree, or a recognised equivalent international qualification, in disciplines such as Computer Science, Engineering, Mathematical Sciences, or Physical Sciences. Relevant work or programming experience may also be considered.
• English Proficiency: For non-native English speakers, an IELTS score of 6.5 overall, with at least 6.0 in writing and 5.5 in each other element, is required. 

Application Process 

The application process for the MSc People-Centred Artificial Intelligence is straightforward and does not require any application fees or standardised test scores. Applications are reviewed on a rolling basis, so early submission is encouraged. The key dates for the September 2024 cohort are: 

• Early Priority Deadline: 12 June 2024
• Priority Deadline: 10 July 2024
• Final Deadline: 7 August 2024 

To apply, candidates must complete the online application form and submit the following materials:

• Scanned copies of academic transcripts and degree certificates
• Contact details for two referees (academic or professional)
• A personal statement (500 to 1,000 words) outlining their interest in the course and relevant experience
• A résumé or CV (optional) 

  For more detailed information about the application process, please visit the University of Surrey's admissions page   

Course Structure and Content 

The MSc consists of 180 credits divided into 11 modules, including a final project. Key areas of study include: 

1. Fundamentals of AI and Machine Learning: Core concepts and techniques in AI, including deep learning, neural networks, and reinforcement learning.
2. Computer Vision and Pattern Recognition: Techniques for image processing and pattern analysis.
3. Natural Language Processing: Methods for understanding and generating human language.
4. Ethical Considerations in AI Development: Exploring the ethical implications of AI technologies.
5. Regulatory and Legal Aspects of AI: Understanding the legal frameworks governing AI.
6. AI Applications: Practical applications of AI in healthcare, sustainability, and the metaverse. 

The programme culminates in a substantial research project, allowing students to explore an area of AI in depth, combining technical innovation with social responsibility. 

Skills Acquired 

• Upon completion of this MSc, graduates will have developed:
• Advanced technical skills in AI and machine learning
• Critical understanding of ethical implications in AI development
• Ability to design and implement responsible AI solutions
• Strong research and analytical capabilities
• Cross-disciplinary problem-solving skills
• Proficiency in communicating complex AI concepts to diverse audiences 

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