Graduate Certificate in Enterprise Optimization

Elmhurst’s graduate certificate program in enterprise optimization, or “CEO” program, prepares students to tap the power of modern enterprise-level data to optimize quality, reduce risk, and create economic value for an organization.

This five-course certificate program, offered entirely online, combines two courses in the fundamentals of data mining, two courses in applying data-oriented approaches in a business setting, and a capstone project course.

With its current focus on project management, the certificate program is especially appropriate for individuals who are certified project management professionals or who have equivalent credentials. Students who complete the five courses for credit will earn the graduate certificate in enterprise optimization, and may complete an additional five courses to earn the M.S. in Data Science and Analytics.

Required Courses

  • MDS 534 Introduction to Business Intelligence, Data Mining, and Predictive Modeling
  • MDS 546 Quantitative Methods
  • MDS 560 Business Intelligence for Enterprise Value
  • MDS 561 Data Science Project Management for Enterprise Value
    OR MDS 562 Data Science for Business Transformation

Students will complete one additional elective course from the MDSA curriculum.

If a student chooses to complete the master’s in data science and analytics, additional coursework will include MDS 523, MDS 535, MDS 556, MDS 564 and MDS 576.

How to Apply

To apply for the graduate certificate in enterprise optimization, complete the online application by following the instructions for non-degree students. If you wish to complete the additional five courses to earn the master’s in data science and analytics, you must apply following all of the admission requirements for the master’s degree program.

For more information, contact the Office of Admission at (630) 617-3400 or [email protected].

These updates are accurate as of Feb. 12, 2021. There may be changes made as the 2021-2022 Academic Catalog is finalized and posted.

James Kulich, Ph.D.

Professor, Department Chair of Computer Science & Information Systems; Program Director, M.S. in Data Science and Analytics
Department of Computer Science and Information Systems

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