Post-Baccalaureate Certificate in Applied Artificial Intelligence/Machine Learning for Data Science
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 Applied Artificial Intelligence and Machine Learning for Data Science certificate provides a quantitative foundation in data analysis and interpretation, machine learning, artificial intelligence, deep learning, and other related electives.
Admission Requirements
The post-baccalaureate certificate in Applied Artificial Intelligence and Machine Learning for 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 | ||
| DSCI 501 | Quantitative Foundations of Data Science | 3.0 |
| DSCI 521 | Data Analysis and Interpretation | 3.0 |
| DSCI 631 | Applied Machine Learning for Data Science | 3.0 |
| Choose 2 of the electives below | 6.0 | |
| Introduction to Programming | ||
or CS 570 | Programming Foundations | |
| Data Structures and Algorithms | ||
| Systems Basics | ||
| Introduction to Artificial Intelligence | ||
| Machine Learning | ||
| Deep Learning | ||
| Data Science Capstone I | ||
| Data Science Capstone II | ||
| Total Credits | 15.0 | |
Sample Plan of Study
| First Year | |||
|---|---|---|---|
| Fall | Credits | Winter | Credits |
| DSCI 501 | 3.0 | DSCI 631 | 3.0 |
| DSCI 521 | 3.0 | Electives | 6.0 |
| 6 | 9 | ||
| Total Credits 15 | |||
