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Professional Development, University Extended Education, California State University, Fullerton

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Health Care Analytics

Our Certificate in Heath Care Analytics is designed to respond to the demand for trained analytics professionals in the health care industry.

In the United States, health care organizations are increasingly using analytics as the mechanism to unlock complex data, create actionable insights, increase business efficiency and improve clinical outcomes. Yet there is a growing shortage of qualified health care analytics professionals. A report from McKinsey Global Institute estimates that by 2018 the United States will have a shortage of 1.5 million managers and analysts capable of extracting insights from the data deluge.

This certificate program aims to reduce that shortage.

Students earning the Certificate in Health Care Analytics will learn to make data-driven decisions and deliver analytical expertise. Graduates will have the skills to promote effectiveness, efficiency and quality in health care organizations, health care IT companies and consulting firms.

The credits (9 units) from the certificate can be applied (if accepted) into the study plan for the Master of Science in Information Systems (MSIS) or Master of Science in Information Technology (MSIT) from CSUF’s Mihaylo College of Business and Economics. A grade of B or better is necessary for all three certificate courses. Earning the certificate not does guarantee admission to either of these programs, and all applicants must meet CSUF's admission requirements to be admitted.

The Certificate in Health Care Analytics consists of 3 required courses totaling 9 semester units. Courses will consist of lecture, classroom discussion, lab exercises, case studies and use cases that specifically pertain to the health care industry.

Program Information

All classes are 8-weeks long and offered in a hybrid format; there is an online component, complemented by 4 weekend in-person classes (10:00 a.m. - 1:00 p.m.) on the Cal State Fullerton campus.

Total estimated cost is $3,870 ($430 per unit), not including required textbooks or materials. Each course is 3 units, and graduates will earn 9 total academic units.

Click on course name to see description.

March 19 - May 13, 2016
(3 units)
On-campus classes: March 19, April 2, April 16, April 30

Internet and multi-user databases; accessing Web servers; data warehouse, structured query language, client-server database systems and programming; object-oriented databases.

June 4 - July 29, 2016
(3 units)
On-campus classes: June 4, June 18, July 9, July 23

Basic concepts, architectures and development strategies of data warehousing, issues in managing data as organizational assets and its potentials for competitive advantages in dynamic business environments.

August 20 - October 14, 2016
(3 units)
On-campus classes: August 20, September 10, September 24, October 8

Fundamentals of data mining. Topics may include association, classification, clustering, decision trees, statistical modeling and visualization. Motivation for the applications of data mining techniques. Use of data mining software suites on data sets.

To be admitted in the program, you must have:

  • A baccalaureate from an accredited institution of higher education
  • Earned a minimum grade-point average (GPA) of 2.5 in the 60 semester units attempted, as documented by two official copies of transcripts from all higher education institutions attended
  • Good standing at the last college attended
  • Knowledge of statistical techniques. For those without a background in statistics, it is highly recommended that ISDS 361A be taken as a prerequisite in the summer prior to the start of the program.

Classes are taught by industry specialists and members of CSUF’s Mihaylo College of Business and Economics’ ISDS department faculty.

Non-California Residents

Due to state and federal regulations, non-California residents may only enroll in CSUF online courses when their state has authorized CSUF as a provider. Click here for more information.

It is recommended that participants who reside outside of United States and whose first language is not English must possess English language proficiency equivalent to a minimum TOEFL score of 550 (paper), 80 (iBT) or IELTS score of 6.5.

It is the participant’s responsibility to demonstrate English language proficiency necessary to fully participate in the class lectures and discussions.

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About the Program

Applications for Spring 2016 are now closed.

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Graduates may apply credits toward Master of Science in Information Systems (MSIS) or Master of Science in Information Technology (MSIT) at CSUF. (Completion does not grant automatic admission)


Eric Santa Ines
657-278-5793

esantaines@fullerton.edu