Introduction to Data Science Post-Baccalaureate Certificate
Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 15.0
Instructional Delivery: Online; Campus
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Not aid eligible
Classification of Instructional Program (CIP) Code: 11.0199
Standard Occupational Classification (SOC) Code: 15-1111
About the Program
The post-baccalaureate certificate in Introduction to Data Science provide the basic skills in Python programming, exploratory data analytics using R, and other relevant electives.
Admission Requirements
The post-baccalaureate certificate in Introduction to Data Science accepts applicants who hold bachelor's degrees from an accredited university. Please visit the College of Computing & Informatics website for more information on admission requirements.
Additional Information
For more information about this program, visit the College of Computing & Informatics website.
Program Requirements
| Required Courses | ||
| CS 570 | Programming Foundations | 3.0 |
| DSCI 511 | Data Acquisition and Pre-Processing | 3.0 |
| INFO 659 | Introduction to Data Analytics | 3.0 |
| Choose 2 of the electives below | 6.0 | |
| Fundamentals of Databases | ||
| Privacy | ||
| Database Management Systems | ||
| Social Network Analytics | ||
| Healthcare Informatics | ||
| Information Assurance | ||
| Information Policy and Ethics | ||
| Total Credits | 15.0 | |
Sample Plan of Study
| First Year | |||
|---|---|---|---|
| Fall | Credits | Winter | Credits |
| CS 570 | 3.0 | INFO 659 | 3.0 |
| DSCI 511 | 3.0 | Electives | 6.0 |
| 6 | 9 | ||
| Total Credits 15 | |||
