Featured byThe University of Manchester by FutureLearn
Overview
In this AI for Healthcare - Equipping the Workforce for Digital Transformation course from The University of Manchester by FutureLearn you will develop your own digital skills and increase your understanding of technology for healthcare, so that you can join the conversation on embedding AI in healthcare practice.
By the end of the course, you‘ll be able to...
Describe the benefits and challenges of Artificial Intelligence (AI) in healthcare across the broader spectrum of the health sector
Explore the concepts, ethical principles and approaches of AI within healthcare
Investigate the challenges and opportunities of data in healthcare to transform patient care
Explore the roles, teams and skills required to enable AI in healthcare
Apply learning to authentic and practice-based case studies which look at a range of applications of AI
Develop current practice, skills and knowledge to support recommendations from the Topol Review
Programme Structure
Syllabus
Motivating AI in healthcare
What is artificial intelligence?
Data in healthcare
Making it work
Supporting and skilling the workforce
Key information
Duration
- Part-time
- 35 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Public Health Health Sciences Artificial Intelligence View 18 other Short Courses in Artificial Intelligence in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
This course is designed for health and social care professionals in the UK.
It is relevant to any non-UK healthcare professionals who want to understand the basic concepts, challenges and opportunities of AI in their respective healthcare systems.
The course is also useful for those with relevant skills outside the NHS who have an interest in new professional groups emerging from AI, such as clinical data scientists, medical software engineers, and digital medicine specialists.
Tuition Fee
To always see correct tuition fees
-
International
69 USD/fullTuition FeeBased on the tuition of 69 USD for the full programme during 35 days. -
National
69 USD/fullTuition FeeBased on the tuition of 69 USD for the full programme during 35 days.
Limited access:free
$189.99 Subscribe & save for one year
- $69/Buy this course one-off payment
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Improve page content