Overview

Artificial intelligence (AI) and medical robotics are revolutionising the entire medical field, changing the way the data is used to make decisions, analysing big data, and use of robots for surgeries. To stay competitive, universities and organizations need qualified AI researchers with knowledge and understanding of AI and robotics who use cutting-edge methods like machine learning algorithms and image-guided robotics. This 16-week Specialization is designed to equip you with the knowledge you need to apply AI in medicine and robotics 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 implement AI in medical research. This Specialization aims to provide knowledge of AI and robotics applications in medicine and healthcare.

Course 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. This specialization includes two Professional Certificates (PCerts), 4 -week Researchers Training Programme, and a virtual internship.

Part 1: PCert - Artificial Intelligence in Medicine (4 modules)

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.

Part 2: PCert - Medical Robotics (4 modules)

Get the knowledge you need to apply robotics in medicine and healthcare. This PCert aims to provide knowledge of robots for surgeries, image-guided intervention, and computer-assisted surgery and therapy.

Further details are mentioned on PCert - Medical Robotics 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.

Further details are mentioned on the Researchers Training Programme page.

Part 4: Research Training - Virtual Internship (4 weeks)

This 4 weeks of virtual training will provide you with a learning opportunity from researchers at CamCID. It will provide you opportunities to gain research skills with weekly research-based tasks and guidance during the tasks. You will participate in research activities (tasks and analysis) remotely and apply your knowledge of AI in medicine research.

Further details are mentioned on the Internship - AI in Medicine page.

Fees and Funding

UK and International: £349 (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).

Entry Requirements

This specialization starts with a beginner level and progresses towards the mid and advanced level. However, no prior programming knowledge is required.

This specialization is designed for all levels of students (Undergraduate students, Master's degree students, or Ph.D.). Basic knowledge of mathematics, computing, bioscience, medicine, science, or other relevant areas is highly recommended.

All our online courses are taught in English. You must have good English language skills.

Career Opportunities

This specialization is designed to aid professional development in the field of AI, healthcare, medicine, and/or medical robotics research, enabling you to further your expertise within an existing career path or to change career direction, for example, into AI expert.

Certificate of Completion

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).

Taught By

CamCID Research Team and Guest Lecturers (faculty members from multiple universities).

May include additional material by our partners

How To Apply

Register Now

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