University of South Florida College of Engineering 7 courses 15 total credits
College of Engineering (EN) Department: Dean’s Office Major Contacts, Deadlines, and Delivery Information Office of Graduate Certificates Website Graduate Certificate Policies 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
| Total Credits | 15 credits |
Curriculum Requirements
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): Also required: and select two of the following courses (6 credit hours):; Selected topics: Python for Data Science (3 credit hours for this program); Selected topics: Data Visualization and Cloud Systems (3...
| Code | Course Title | Credits |
|---|---|---|
| ESI 6612 | Statistical Foundations of Data Intelligence | 3 |
| ESI 6613 | Applied Data Intelligence | 3 |
| ESI 6602 | Design of Industrial Data Systems | 3 |
| ESI 6340 | Probabilistic Systems Analysis | 3 |
| ESI 6410 | Optimization Methods with Applications | 3 |
| ESI 6683 | Cyber Security Analytics | 3 |
| ESI 6684 | Decision Making with Deep Reinforcement Learning | 3 |
| Total Curriculum Requirements | 15 credits | |
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