Dec 26, 2024  
2018-2019 Graduate Catalog 
    
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2018-2019 Graduate Catalog [ARCHIVED CATALOG]

Data Analytics Graduate Certificate

Contact: Chwen Sheu

E-mail: gradbusiness@ksu.edu

Home Page: global.k-state.edu/business/analytics/

A 15-credit-hour graduate certificate program, delivered completely online, is offered to enable students to increase their knowledge and to prepare them for expanding opportunities in this high demand area.  The area of Data Analytics is broad, and the skill needs of professionals in this area span both technical data science capabilities and applied data analytics capabilities.  As such, the certificate brings together courses that are foundational to knowledge and skill development in both data sciences and applied data analytics, in order to provide alternatives to develop a personalized plan to meet the needs of individual students in the program.

Program Administration

The Data Analytics certificate is a cooperative interdisciplinary program of the colleges of Business Administration, Arts and Sciences, and Engineering.  The College of Business Administration serves as the academic home for the program, coordinating administration of the program and providing administrative support. 

Academically, the program is governed by a steering committee with representatives from the participating departments, currently Computing and Information Sciences, Industrial and Manufacturing Systems Engineering, Management, Marketing, Mathematics, Statistics, and Global Campus. 

Two faculty, one with an applied analytics focus and the other with a focus on data science, serve as advisors for the program. The advisors provide curriculum leadership, respond to student inquiries, evaluate student admissions, advise students and develop plans of study, as well as other academic related tasks.  All correspondence should be directed to the College of Business Administration.

Program Requirements:

The Graduate Certificate in Data Analytics consists of 15 credit hours.

Students will be required to complete 12 credit hours from the list of approved courses below plus a 3-credit-hour capstone course. Each student will be required to take at least one course from each area to ensure that they are gaining background in both data science and applied analytics. Additional credits may be earned from the selection of elective courses.