Certificate of Engineering Data Analytics (CEDA)
Gain Valuable Skills to Assemble and Analyze Data to Improve Engineering Systems
University of Houston-Clear Lake's Certificate in Engineering Data Analytics (CEDA) provides engineers the necessary tools and methods to improve products, processes, and operations in any industry. Courses in this certificate will include topics such as statistical methods, decision science, and predictive analytics. Available only to students seeking a Engineering Management master's degree, this certificate can be earned by completing just four courses.
Certificate Requirements
To earn the certificate, the four-course set below must be completed at UHCL within a four-year time limit with grades of B or better.
Required Courses:
- EMGT 5330 - Service and Operations Management
- EMGT 5630 - Quantitative Decision Making for Engineering Management
- EMGT 5731 - Business Analytics
- EMGT 5732 - Advanced Business Analytics
Certificate of Engineering Data Analytics (CEDA)
Locations
University of Houston-Clear Lake
2700 Bay Area Blvd
Houston, TX 77058
Phone: (281) 283-7600
UHCL Online
Bayou Building, Room 1406
2700 Bay Area Blvd
Houston, TX 77058
Phone: 281-212-1611
Make the most of a hectic schedule and study from home or the office through UHCL Online, offering the same level of excellence for more than 20 undergraduate, graduate and certificate programs.
UH-Clear Lake at Pearland
1200 Pearland Pkwy
Pearland, Texas 77581
Phone: 281-212-1700
Since 2010, University of Houston-Clear Lake at Pearland has proudly served as an upper-level institution serving juniors, seniors, and graduate students in fields like business and behavioral science.
Faculty
Ipek Bozkurt
Program Director of Engineering Management and Associate Professor,
Science and Engineering
Contact number: 281-283-3882
Email: bozkurt@crewbar.net
Office: STEM Building 2220
Ki-Young Jeong
Professor of Engineering Management,
Science and Engineering
Contact number: 281-283-3862
Email: jeongk@crewbar.net
Office: STEM 2222
Xiaojun "Gene" Shan
Associate Professor of Engineering Management,
Science and Engineering
Contact number: 281-283-3814
Email: shan@crewbar.net
Office: STEM Building 2218