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 501Quantitative Foundations of Data Science3.0
DSCI 521Data Analysis and Interpretation3.0
DSCI 631Applied Machine Learning for Data Science3.0
Choose 2 of the electives below6.0
Introduction to Programming
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 Credits15.0

Sample Plan of Study

First Year
DSCI 5013.0DSCI 6313.0
DSCI 5213.0Electives6.0
 6 9
Total Credits 15
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