Artificial Intelligence in Neuroscience Research

OVERVIEW

 

Artificial intelligence (AI) is revolutionising the entire medical field, changing the way the data is used to make decisions, analysing big data, and using algorithms for brain imaging and diagnosis. AI technology integration in neuroscience could increase diagnostic accuracy, time, improve clinical decision-making, and result in improved patient outcomes. AI-guided disease treatment can 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 medicine research. This Specialization aims to provide knowledge and AI advances in neuroscience.

PROGRAMME CONTENT

 

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.

 

• Part 1: PCert - Neuroscience and Neuroimaging Research (4 modules): 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. Comprehensive overview of basic neuroanatomy, neural communication, and the organization of the nervous system. Exploration of key concepts in neurophysiology and neurochemistry. Understand the principles behind different MRI methods and their applications in neuroscience research. Further details are mentioned on the PCert - Neuroscience and Neuroimaging Research page.

 

• Part 2: PCert - Artificial Intelligence in Medicine (4 modules): This 4-week PCert course is designed to demonstrate a solid understanding of the fundamental concepts, principles, and technologies related to artificial intelligence and machine learning in the context of medical applications. You will also learn about the history of AI and the components of machine learning.  Further details are mentioned on PCert - AI in Medicine page.

 

• Part 3: Researchers Training Programme (4 weeks): 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 the AI field. Engage in research activities, exploring ethical challenges and making research presentations. Develop problem-solving skills to identify and address challenges related to academic research. Further details are mentioned on the Researchers Training Programme page.

 

• Part 4: Virtual Internship - Research Training (4 weeks): This 4 weeks of virtual training will provide you with research skills through research-based tasks and online guidance. You will participate in research activities (tasks and analysis) and apply your knowledge of AI in neuroscience research. Develop critical thinking skills to evaluate the effectiveness and limitations of AI applications in neuroscience research. You will engage in research skills development tasks to stay current with evolving technologies and practices in the field of AI in neuroscience. Further details are mentioned on the Internship - AI in Medicine page.

Entry Requirements

 

• This specialization starts with a beginner level and progresses towards the mid and advanced levels. However, prior programming knowledge is NOT required.
• This specialization is designed for all levels of students (Undergraduate students, Master's degree students, or Ph.D.).
• All our online courses are taught in English. Therefore, you must have good English language skills.

Certificate of Completion

 

After completing all the 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).

Career Opportunities

 

This specialization is designed to aid professional development in the field of AI in cancer. Completing a Specialization programme on "AI in Neuroscience Research" can open up various exciting career opportunities at the intersection of AI and neuroscience. Here are some potential career paths that participants may explore:

 

• Clinical AI Specialist
• Neuroinformatics Specialist
• Neuroimaging Analyst
• Neurotechnology Developer
• Clinical Neuropsychologist with AI Expertise
• Cognitive Computing Specialist
• Neural Data Scientist
• Neuroinformatics Consultant
• Brain-Computer Interface (BCI) Engineer
• Neurological Disorder Researcher
• Computational Neuroscientist
• AI in Mental Health Specialist
• Educator in AI and Neuroscience

 

As the field of AI in neuroscience continues to advance, professionals with expertise in both AI and neuroscience are in demand across research institutions, healthcare settings, technology companies, and academia, making this Specialization a valuable asset for career development.

Design AND Delivery

 

This online programme is delivered on our virtual learning platform (Moodle). The programme is self-paced and it can be completed on your schedule within programme's duration. The programme includes recorded lectures, templates, learning material, ebooks, and research-based tasks. It is designed by the CamCID Research Team and Guest Lecturers (faculty members from international universities).

May include additional material from our partners.

Fees and Funding

 

UK and International: £419 (including electronic certificate and virtual internship).