Post-Baccalaureate Certificate in Computational Data Science
Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 15.0
Instructional Delivery: Online; Face-to-Face
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Aid eligible
Classification of Instructional Program (CIP) Code: 11.0701
Standard Occupational Classification (SOC) Code: 11-3021
About the Program
The aim is to provide a strong foundation in this emerging area,with a focus on computational and systems issues. The certificate program may also serve as an on-ramp to a Master of Science in Computer Science or to a Master of Science in Data Science if completed with predetermined grade requirements.
Admission Requirements
Please visit the College of Computing & Informatics website to learn more about admission requirements.
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 from 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 | |
Sample Plan of Study
| First Year | |||||
|---|---|---|---|---|---|
| Fall | Credits | Winter | Credits | Spring | Credits |
| DSCI 511 | 3.0 | Electives | 6.0 | Elective | 3.0 |
| DSCI 521 | 3.0 | ||||
| 6 | 6 | 3 | |||
| Total Credits 15 | |||||
Additional Information
For more information about this program, please visit the College of Computing & Informatics website.
