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Graduate Certificate in Healthcare Analytics

Earn your Graduate Certificate in Healthcare Analytics

The graduate certificate prepares professionals who need to handle the growing demands in analyzing digital healthcare information. 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 Analytics Requirements

To complete the Graduate Certificate in Healthcare Analytics, 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 Artificial Intelligence for Healthcare or (SEIS 763 Machine Learning and SEIS 764 Artificial Intelligence)
  • SEIS 735 Healthcare Analytics and AI Case Study

View the Graduate Programs in Software course catalog.

Please note: Students in the Graduate Certificate in Healthcare Analytics 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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Get the Facts

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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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
Eric Level Headshot

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.