Post-Baccalaureate Certificate in Complex Data and Analytic Systems
Certificate Level: Graduate
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 9.0
Classification of Instructional Program (CIP) Code: 30.7001
Standard Occupational Classification (SOC) Code: 15-2051
About the Program
The Complex Data and Analytic Systems certificate focuses on advanced methods for modeling, analyzing, and extracting insight from large-scale and complex data. Students develop skills in artificial intelligence, deep learning, and networked data to support sophisticated, real-world analytical problem solving.
Admissions Requirements
Same as Drexel admission requirements.
Program Requirements
| Required Courses | ||
| IS 5321 | Principles of Optimization and Inference | 3.0 |
| Select two (2) of the following courses: | 6.0 | |
| Systems Basics | ||
| Principles of Artificial Intelligence | ||
| Computer Vision | ||
| Foundations of Deep Learning | ||
| Natural Language Processing | ||
| Equity and Explainability in Machine Learning | ||
or CS 5550 | Equity and Explainability in Machine Learning | |
| Deep Learning Architectures | ||
| Social Media Data Analysis | ||
| User Modeling and Recommender Systems | ||
| Modeling Natural Language | ||
| Network Data Analysis | ||
| Advanced Data Management and Analytics | ||
| Information Visualization | ||
| Intelligent Search and Language Models | ||
| Total Credits | 9.0 | |
Additional Information
For more information about this program, please contact the School of Computer and Information Sciences
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