MPhil in NeuroAI and Intelligent Systems

Overview

The MPhil in NeuroAI and Intelligent Systems is a postgraduate program designed to equip students with a strong foundation in the core principles of NeuroAI, combining theoretical depth with hands-on technical training. Students will develop skills in computational modelling, coding, and algorithm design, while pursuing independent research in a 32-week project.

Educational Aims

The educational aims of the course are to:

• Provide students with relevant experience at first-degree level the opportunity to carry out focused research in this emerging interdisciplinary field under close supervision
• Give students the opportunity to acquire or develop technical skills and expertise relevant to their research interests in both neuroscience and AI

Course Structure

The course will:

• Provide a strong foundation in the core principles of NeuroAI - exploring topics such as neural networks, connectionist theory, dynamical systems, state-of-the-art AI approaches including transformers and state-space models
• Enable hands-on technical training in computational modelling, coding, and algorithm implementation
• Allow flexibility for students to explore their specific research interests via a substantial 32-week research project
• Train students in academic scientific writing and presentation

Learning Outcomes

By the end of the course, students will be able to demonstrate the following knowledge and understanding:

• Advanced knowledge of AI, neural computation, and algorithmic approaches at the intersection of neuroscience and AI
• Proficiency in implementing computational models and algorithms through hands-on coding experience
• In-depth knowledge of the background to their selected research project including research methods and data analysis techniques
• A broad understanding of modern research techniques applicable to NeuroAI from the technical lecture series
• Knowledge of theoretical approaches relevant to their specialisation and critical thinking in the area
• Expertise in research methods, computational modelling, data analysis, and statistics
• Originality in applying knowledge with practical understanding of how research and inquiry create and interpret knowledge in this interdisciplinary field

Students will also acquire the following skills and attributes:

• Ability to analyse critical research literature and contemporary topics in their specialisation areas
• Proficiency in explaining complex topics to specialist and non-specialist audiences
• Demonstration of technical coding skills and algorithm implementation
• Critical thinking and problem-solving approaches to different types of data
• Participation in scientific discourse through written materials, code, oral and poster presentations

Continuing to PhD

If you wish to undertake a PhD following completion of this MPhil, you must be on course to achieve a minimum of a Pass and must submit a PhD application in advance of the early December deadline. If shortlisted, you will be invited to a PhD interview in early to mid January. Those who wish to progress to a PhD after completing an MPhil will also be required to satisfy their potential Supervisor, Head of Department and the Faculty Degree Committee that they have the skills and ability to achieve the higher degree.

Key Information

• Duration: 10 months full-time
• Study Mode: Taught
• Degree: Master of Philosophy
• Department: MRC Cognition and Brain Sciences Unit
• Dates and deadlines:
  • Applications open: September 3, 2025
  • Application deadline: December 3, 2025
  • Course Starts: October 1, 2026
• Funding Deadlines:
  • Course Funding Deadline: December 3, 2025
  • Gates Cambridge US round only: October 15, 2025

University of Cambridge

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Overview:

The University of Cambridge is a prestigious public research university located in Cambridge, England. It is one of the world's leading academic institutions, known for its high-quality teaching and research. The university is comprised of 31 constituent colleges, each with its own unique character and traditions.

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Services Offered:

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Student Life and Campus Experience:

The university offers a vibrant and diverse student experience. Students can expect to be part of a close-knit community within their chosen college, while also having access to the wider university's resources and facilities. The university boasts a rich history and tradition, with numerous historic buildings and gardens. Students can participate in a wide range of extracurricular activities, including sports, societies, and cultural events.

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Key Reasons to Study There:

Academic Excellence:

Cambridge is renowned for its world-class academics and research.

Prestigious Reputation:

A degree from Cambridge is highly valued globally, opening doors to various career opportunities.

Unique College System:

The college system provides a supportive and intimate learning environment, fostering close relationships between students and tutors.

Exceptional Facilities:

The university offers state-of-the-art facilities, including libraries, laboratories, and museums.

Vibrant Campus Life:

Cambridge offers a rich and diverse student experience, with numerous opportunities for extracurricular activities and social engagement.

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Academic Programs:

The university offers a wide range of undergraduate and postgraduate programs across various disciplines, including:

Arts and Humanities:

History, English Literature, Classics, Philosophy, Theology, Music, Art History, and more.

Social Sciences:

Economics, Politics, Sociology, Anthropology, Psychology, and more.

Sciences:

Physics, Chemistry, Biology, Mathematics, Computer Science, Engineering, and more.

Medicine:

Clinical Medicine, Veterinary Medicine, and more.

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