M
Master’s degree
- Length
- 36 credit hours, 12 courses, including an applied project drawn from your own workplace.
- Entry
- A bachelor’s degree or its equivalent, and professional experience related to the program.
- Status
- In preparation
- Levels
- Master's
- Credit hours
- 36
- Delivery
- Fully online
- Experience
- Assessed course by course
- Status
- In preparation
Overview
About the program
A master's program for health and IT professionals. You study how AI systems are built, tested and governed in a hospital, and what the evidence says they can and cannot do.
The Artificial Intelligence in Healthcare program is designed for people who already work in the field. It covers foundations of AI for health, clinical data and its quality, machine learning in diagnosis and operations, evaluation and evidence, privacy, safety and regulation, and ends with AI projects in a hospital.
Like every Madison program, it is built for working adults. Courses you already master through your work are tested and recorded with a grade; the rest you study online, at your own pace, with tasks carried out in your own workplace.
In preparation. This program is not open for enrollment yet. It opens when its curriculum and courses are in place on the learning platform.
Outcomes
What you will be able to do
- 01Foundations of AI for healthExplain the core ideas of foundations of AI for health and use them to read real situations at work.
- 02Clinical data and its qualityAnalyse a real problem in clinical data and its quality and recommend a course of action backed by evidence.
- 03Machine learning in diagnosis and operationsApply the methods of machine learning in diagnosis and operations in your own organization and measure the result.
- 04Evaluation and evidencePlan and lead work in evaluation and evidence, and document your decisions to a professional standard.
- 05Privacy, safety and regulationEvaluate current practice in privacy, safety and regulation against recognised standards and propose improvements.
- 06AI projects in a hospitalAdvise colleagues and managers on AI projects in a hospital in clear, well-structured writing.
Curriculum
What you will study
The main areas of the curriculum. Your personal study plan lists the exact courses, their credit hours and those you may claim through assessment.
- 01Foundations of AI for healthWhat AI is and how it is used in medicine and health services.Core area
- 02Clinical data and its qualityHealth data sources, coding and the quality checks AI depends on.Core area
- 03Machine learning in diagnosis and operationsAI for imaging, triage, scheduling and hospital operations.Core area
- 04Evaluation and evidenceHow to test whether a health AI tool is safe and actually works.Core area
- 05Privacy, safety and regulationPatient privacy, medical device rules and safe deployment of AI.Core area
- 06AI projects in a hospitalPlanning, piloting and scaling an AI project inside a hospital.Core area
Levels
Levels, length and entry
Your experience
How your experience counts
- 01
Send your record
Your CV, certificates and evidence of work are mapped to the courses of this program.
- 02
Sit the course tests
Each course you claim is tested on its own. A pass is recorded on your transcript with its grade.
- 03
Study the rest
The remaining courses become your personal plan, with an expected end date in writing.
Professional titles
The field, by title
Beside the degree, this field is planned as a professional credential, with the title written before it. A title is not a degree. How titles work.
- 01Expert in Artificial Intelligence in HealthcareFor people who have practiced Artificial Intelligence in Healthcare for years and want their competence assessed and recorded.
- 02Consultant in Artificial Intelligence in HealthcareFor experienced people who advise organizations on Artificial Intelligence in Healthcare.
- 03Trainer in Artificial Intelligence in HealthcareFor experienced people who teach or coach others in Artificial Intelligence in Healthcare at work.
- 04Diploma in Artificial Intelligence in HealthcareA focused credential in Artificial Intelligence in Healthcare, based on assessed knowledge and evidence of practice.
In preparation. No title is open yet; the requirements are published when it opens.
Careers
Where this program is used
- Clinical AI project lead
- Health data scientist
- Digital health manager
- Clinical systems analyst
Roles this program relates to. A degree supports a career; it does not guarantee a position, and each employer sets its own requirements.