Neuroscience with Artificial Intelligence Keele University
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| BSc (Hons) | On-Campus | Full-time | 3 - 4 years | find out | find out | find out |
Course overview
Immerse yourself in the dynamic fields of neuroscience and AI, where human cognition merges with computational breakthroughs. Learning from our research-active experts in state-of-the-art laboratories, you'll explore the intricate complexities of brain function and how artificial intelligence and machine learning can revolutionise the diagnosis and treatment of neurological disorders. On successful completion of the programme, you'll graduate with the research, data analysis, and computational methodologies to drive advances in research, biotechnology, and clinical diagnostics. Course overview Neuroscience and AI are deeply interconnected, forming a symbiotic relationship that drives innovation in both fields.
AI draws inspiration from the structure and function of the human brain, leading to the development of artificial neural networks and deep learning algorithms that mimic cognitive processes. Conversely, neuroscience benefits from AI's powerful data analysis capabilities, enabling researchers to process vast amounts of complex brain data, identify subtle patterns, and gain deeper insights into neural mechanisms. On our Neuroscience with Artificial Intelligence BSc, you'll learn the key principles of neuroscience (e.g. neuroanatomy, neurophysiology, neuropharmacology, neuropathology, and behaviour), and develop the highly sought after AI-related digital skills to help unlock previously hidden trends in the complex datasets found in the field of neuroscience. In your first year, you'll build a strong foundation in nervous system anatomy and function, human physiology, and anatomy, alongside essential computer science topics like programming, computer systems, and algorithm analysis — the cornerstones of artificial intelligence.
Throughout the programme you'll benefit from practical and professional employability modules, including research training in experimental design, scientific programming, and career-focused sessions, equipping you with the skills and connections for a successful career. In your second year, you'll deepen your understanding of neuroscience research techniques, analytical methods, and the functional anatomy of the human nervous system, enabling you to design research projects and explore neurophysiology and pathology. Simultaneously, you'll advance your knowledge of artificial intelligence and data science, focusing on techniques like machine learning and computational intelligence. You can also enhance your employability by choosing to spend time in industry with year-long or flexible placements or spend a year studying abroad.
In your final year, you'll undertake a self-directed research project, guided by our expert neuroscience staff. Whether laboratory-based or computational, your project allows you to plan, execute, and present your findings at our student conference, providing a unique platform to showcase your expertise and prepare for future opportunities. 20th in England for Neuroscience, Guardian University Guide 2025 Accredited by the Royal Society of Biology Leverage cutting-edge data science, AI, and machine learning to reveal hidden patterns in complex datasets and advance the diagnosis of neurological disorders Learn core fundamental Computer Science topics that underpin Artificial Intelligence, such as programming, computer systems, and the study of algorithms and their analysis Understand how artificial intelligence principles can be applied to neuroscience datasets For more details, please see the course page on the Keele website.
Entry requirements for this course
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