Graduate Minor in Computational Data Science
About the Graduate Minor
The aim is to provide a strong foundation in this area with a focus on computational and systems issues, offering a systematic and efficient education to Drexel graduate students interested in expanding their studies through the integration of data science.
Admission Requirements
The graduate minor in Computational Data Science trains current Drexel graduate students either in an MS or a PhD program of their home departments in a variety of technical data science topics.
Program Requirements
| Required Core Courses | ||
| DSCI 511 | Data Acquisition and Pre-Processing | 3.0 |
| DSCI 521 | Data Analysis and Interpretation | 3.0 |
| Elective Courses | 9.0 | |
| Choose 3 of the following: | ||
| Fundamentals of Databases | ||
| Introduction to Artificial Intelligence | ||
| Introduction to Computer Vision | ||
| Machine Learning | ||
| Deep Learning | ||
| Data Analysis at Scale | ||
| Responsible Data Analysis | ||
| Total Credits | 15.0 | |
Additional Information
For more information about this program, visit the College of Computing & Informatics website.
