Graduate Minor in Applied Data Science
About the Graduate Minor
The aim is to provide a strong foundation in this area with a focus on the application of methods for solving problems or gaining insights, offering a systematic and efficient education to Drexel graduate students interested in expanding their studies through integration of data science.
The graduate minor in Applied Data Science trains current Drexel graduate students either in an MS or a PhD program to learn a variety of foundational and applied 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: | ||
| Programming Foundations | ||
| Quantitative Foundations of Data Science | ||
| Applied Machine Learning for Data Science | ||
| Applied Cloud Computing | ||
| Foundations of Data and Information | ||
| Data and Digital Stewardship | ||
| Social Network Analytics | ||
| Information Retrieval Systems | ||
| Information Visualization | ||
| Introduction to Data Analytics | ||
| Total Credits | 15.0 | |
Additional Information
For more information about this program, visit the College of Computing & Informatics website.
