Help Create Healthier Lives
The availability of information technology is transforming the future of healthcare. From new research avenues to how providers access health records and other information. Informatics is the way of the future, make sure you are a part of it.
Connect technology with human ingenuity—and transform data into solutions that create lasting change. Apply your learning from our Clinical & Health Informatics graduate programs to help enhance health care.
Our program is unique in its ability to offer an interdisciplinary curriculum based on American Medical Informatics Association (AMIA) Core Competencies. We are able to accomplish a truly integrated multi-disciplinary curriculum by connecting five UW–Madison colleges and schools to offer diverse opportunities and fully address all 10 competencies.
As part of our unique approach, we have developed a “digital neighborhood” – a Community of Practice – to give you an interpersonal and tangible advantage in an evolving healthcare environment, during and beyond your school years. This digital neighborhood includes access to:
- micro-courses – to polish skills and help you thrive
- data library and toolbox – to give you experience and build confidence
- lifelong learning opportunities after your program ends – to help stay aligned with a changing professional landscape
- networking and learning from webinars presented by professionals working in the field
Next Application Deadlines:
- April 15 – for the MS degree
- May 1 – for the Capstone Certificate
Degrees Offered
Master of Science or Capstone Certificate in Clinical & Health Informatics
Format
100% online
Timeline
Take 1-3 courses per semester.
MS – 2-4 years | Certificate – 1-2 years
Credits
MS – 30 credits | Certificate – 12 credits
Tuition
$1,600 per credit
MS – $48,000 | Certificate – $19,200
This program benefits from its foundation in UW-Madison’s Institute for Clinical and Translational Research (ICTR). ICTR bridges millions of dollars of research to practice, facilitating a remarkable opportunity for training professionals in solving healthcare problems using a broad scope of real-world data.