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Nov 21, 2024
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2024-2025 Graduate Catalog
Data Analytics Graduate Certificate
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Return to: College of Engineering
The Graduate Certificate in Data Analytics is for individuals with STEM backgrounds who desire to develop skills for data driven decision making. This Certificate teaches students how to manipulate data using data bases, visualize data, and develop models to extract information from data for engineering decision making purposes.
The following are the objectives of the Certificate:
- Understand the principles of data preparation, manipulation & query extraction
- Understand a problem context and develop modeling & analysis needs
- Build data-driven models, analyze, and interpret results
At the completion of the certificate students will be able to:
- Manipulate structured and unstructured data in Python, R, VBA for Excel, SQL, and Power BI
- Collect, gather and query data from a Database Management System
- Apply machine learning algorithms on data, interpret results, and derive actionable insights
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Graduate Certificate Admissions and Process
Students must apply and be admitted into the Graduate Certificate to be eligible to receive a Graduate Certificate. Applicants are encouraged to contact the Graduate Certificate Director prior to applying.
Applicants must meet the following admission requirements:
Curriculum Requirements (15 Credit Hours)
This Certificate requires completion of five (5) courses for a total of 15 semester hours.
The student must obtain a grade of “C” or better in each class for it to be applied toward the Certificate. Students pursuing a graduate certificate will be required to meet the same academic requirements as those defined for degree-seeking students to remain in “good academic standing” and must have a 3.00 GPA to earn the Certificate.
Complete the following required courses (9 credit hours):
Graduate Certificate Time Limit
Five (5) years
Graduate Certificate Completion
For procedures to confirm completion of the Graduate Certificate, please refer to the website.
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Return to: College of Engineering
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