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Graduate Certificate in Healthcare AI

Earn your Graduate Certificate in Healthcare AI

The graduate certificate prepares professionals who need to handle the growing demands in analyzing digital healthcare information. New artificial intelligence approaches provide students with powerful capabilities in analyzing complex healthcare data that was previously difficult to analyze. This certificate program provides students with essential predicting, visualizing, and evaluating strategies that can improve the quality and safety of healthcare.

The courses in this certificate program require a working knowledge of SQL and Python.

Students have the option to use the coursework from their graduate certificate to continue in a Master of Science degree program offered by Graduate Programs in Software.

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How to earn a graduate certificate

Graduate Certificate in Healthcare AI Requirements

To complete the Graduate Certificate in Healthcare AI, you must complete the following four courses (12 graduate semester credits) with at a GPA of 2.7 or better:

Four Required Courses:

  • SEIS 631 Data Preparation and Analysis
  • SEIS 632 Data Analytics and Visualization
  • SEIS 639 Machine Learning for Healthcare
  • SEIS 735 AI Case Study for Healthcare 

View the Graduate Programs in Software course catalog.

Please note: Students in the Graduate Certificate in Healthcare AI must demonstrate adequate proficiency in SQL or take SEIS 630 Database Management Systems and Design before enrolling. Students will be expected to have a prior background in Python or take SEIS 603 Foundations of Python I.

Graduate Certificates that Work for You

Convenient Schedule

Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday.

View Our Course Schedule
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Attend an Information Session

Attend an online information session to learn program details. Our programs serve working professionals with busy lives. Set your own pace and start fall, spring or summer. Classes are offered in-person and online weeknights from 5:30 – 8:30 p.m., Monday – Friday. We look forward to meeting you.

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FACULTY

All full-time tenured faculty hold Ph.D. degrees and offer extensive industry experience. Adjunct faculty are selected based on professional experience and educational credentials.

Dr. Chih Lai

Dr. Chih Lai

Before joining the Graduate Software faculty, Lai was a principal software engineer, working on a collision avoidance system. Lai holds received three U.S patents and three European patents. Lai also worked with Medtronic and has pending patents on monitoring and evaluating Parkinson patients.

Dr. Chih Lai
Dr. Manjeet Rege

Dr. Manjeet Rege

Dr. Manjeet Rege is an Associate Professor of Graduate Programs in Software and Data Science and Director for the Center for Applied Artificial Intelligence. He is also the co-host of the "All Things Data" podcast, interviewing data scientists, technologists, business experts and futurists which averages over 60,000 listeners.

Dr. Manjeet Rege
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Eric Level

Eric Level has taught graduate software engineering and computer programming for the past 30 years. He has also consulted and done technical training for local and national companies and government agencies. His research interest is applying educational technology to software engineering education.

ERIC LEVEL

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