Post-Baccalaureate Certificate in Applied Artificial Intelligence & Machine Learning

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 12.0
Instructional Delivery: Online
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Not aid eligible
Classification of Instructional Program (CIP) Code: 11.0701
Standard Occupational Classification (SOC) Code: 15-0000

About the Program

The Post-Baccalaureate Certificate in Applied Artificial Intelligence and Machine Learning provides the core knowledge to apply artificial intelligence and machine learning to a vast array of real-world problems and fields of study. The certificate introduces students to a range of AI and machine learning techniques and libraries that may be used to solve current, important computational data analysis challenges and applications.

Admission Requirements

Please visit the School of Computer and Information Sciences website for more information on admission requirements.

Additional Information

For more information about this program, visit the School of Computer and Information Sciences website.

Program Requirements

Required Courses
CS 501Introduction to Programming3.0
or CS 570 Programming Foundations
CS 614Applications of Machine Learning3.0
INFO 629Applied Artificial Intelligence3.0
Elective Courses (choose 1)3.0
Data Structures and Algorithms
Systems Basics
Quantitative Foundations of Data Science
Data Acquisition and Pre-Processing
Data Analysis and Interpretation
Applied Machine Learning for Data Science
Knowledge-based Systems
Explainable Artificial Intelligence
Human–Artificial Intelligence Interaction
Total Credits12.0

Sample Plan of Study

Plan of Study Grid
First Year
FallCredits
CS 501
or CS 570
 Introduction to Programming
or Programming Foundations
 3.0
INFO 629 Applied Artificial Intelligence 3.0
 Credits6
Winter
CS 614 Applications of Machine Learning 3.0
Elective Course 3.0
 Credits6
 Total Credits12