Artificial Intelligence (AI) technology integration in neuroscience could increase diagnostic accuracy, time, improve clinical decision-making, and result in improved patient outcomes. AI-guided disease treatment has the ability to make a significant contribution to the reduction of health inequalities, especially in low-resource settings. This Specialization will also equip you with the basic knowledge of neuroanatomy, neuroimaging, and neurobiology. This programme will also train you to use this knowledge to participate in neuroscience and neuroimaging research.
To stay competitive in the field of AI and neuroscience, universities and organizations need qualified neuroscience experts with knowledge and understanding of neurobiology and AI who use cutting-edge methods like machine learning, deep learning, and/or data analytics in neuroscience research. This 16-week Specialization is designed to equip you with the knowledge of AI and machine learning you need to apply in neuroscience research. It will train to you perform research in an international research environment.
Through the virtual internship programme, you’ll gain the essential knowledge and skills required to participate in AI in medicne research. This Specialization aims to provide knowledge and AI advances in neuroscience.
The online distance-learning delivery of the course will provide opportunities to receive expertise from the Cambridge Centre for Innovation and Development (CamCID) researchers, material from our partners, and guest lectures. This specialization includes two Professional Certificates (PCerts), 4 -week Researchers Training Programme, and a virtual internship.
This 4-week PCert course will provide you with the knowledge of functional human neuroanatomy, neuronal communication, and you will also explore the applications of Magnetic Resonance Imaging (MRI) in brain imaging.
Further details are mentioned on PCert - Neuroscience and Neuroimaging Research page.
This 4-week PCert course is designed to equip you with the knowledge you need to apply AI in medicine. You will learn about the history of AI and the components of machine learning.
Further details are mentioned on PCert - AI in Medicine page.
This unique 4-week online training programme is designed to equip you with the knowledge you need to succeed in your career as a researcher in Biomedical Science.
Further details are mentioned on the Researchers Training Programme page.
This 4 weeks of virtual training will provide you with a learning opportunity from researchers at CamCID. It will enhance your research skills with weekly research-based tasks. You will participate in research activities (tasks and analysis) remotely and apply your knowledge of AI in medicine and neuroscience research.
Further details are mentioned on the Research Training - AI in Medicine page.
UK and International: £379 (including electronic certificate and internship).
Reduced fee option:
If you have already completed any of our online PCert courses included in this specialization, fill this form to get a reduced fee payment link. £79 is reduced from the overall cost of the specialization for every PCert you have completed before (copy of your PCert(s) will be required).
This specialization starts with a beginner level and progresses towards the mid and advanced level. However, no prior neuroscience research experience is required.
This specialization is designed for all levels of students (Undergraduate students, Master's degree students, or Ph.D.). Basic knowledge of biology, biochemistry, bioscience, computer science, engineering, or other relevant areas is highly recommended.
All our online courses are taught in English. You must have good English language skills.
This specialization is designed to aid professional development in the field of neuroscience and neuroimaging research, enabling you to further your expertise within an existing career path or to change career direction, for example, into AI or Neuroscience Researcher.
After successfully completing all 4 parts of this Specialization, you will be provided with an e-certificate of completion and a virtual internship at Cambridge Centre for Innovation and Development (CamCID).
CamCID Research Team and Guest Lecturers (faculty members from multiple universities).
May include additional material by our partners
Start Date: 10 Feb 2023
Places available: 03
Duration and Delivery: 16 weeks (Online)
Workload: 5-7 hours per week
Entry requirements: For all levels of students (Undergraduate students, Master's degree students, or Ph.D.). Basic knowledge of computer science, biology, biomedical, and/or other relevant areas is recommended.
Fees: £379 (UK and International)
Registration: Register Now