Post Baccalaureate Certificate in Artificial Intelligence and Machine Learning

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 12.0
Instructional Delivery: Online; Campus
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: 15.0000

*The current plan of study for this program would only allow for federal financial aid (including Federal Direct Student Loans) for terms that are at least a minimum of 4.5 credits for graduate courses and 6.0 credits for undergraduate courses. This is based on current regulations from the U.S. Department of Education.

About the Program

Post-Baccalaureate Certificate in Artificial Intelligence and Machine Learning accepts applicants who hold Bachelor degrees in Computer Science, or completed a Post-Baccalaureate Certificate in Computer Science, and offers them opportunities to learn the fundamentals of artificial intelligence and machine learning. The aim is to provide a strong foundation in this emerging area, with a focus on mathematical foundations, algorithms, and real-world applications. The certificate program may also serve as an onramp to a Master of Science in Computer Science, the Master of Science in Data Science, or the Master of Science in Artificial Intelligence and Machine Learning 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
CS 510Introduction to Artificial Intelligence3.0
CS 613Machine Learning3.0
Elective Courses6.0
Select two courses from the following:
Robot Laboratory
Introduction to Computer Vision
Advanced Artificial Intelligence
Game Artificial Intelligence
Knowledge-based Agents
Machine Learning
Deep Learning
Algorithmic Game Theory
Cognitive Systems
Advanced Computer Vision
Responsible Data Analysis
Topics in Artificial Intelligence
Applied Machine Learning for Data Science
Natural Language Processing with Deep Learning
Applied Artificial Intelligence
Total Credits12.0

Sample Plan of Study

First Year
CS 5103.0CS 6133.0Electives6.0
 3 3 6
Total Credits 12

Additional Information

For more information about this program, please visit the College of Computing & Informatics website.

  • Schedule of Classes
  • All Course Descriptions
  • Co-op
  • Academic Advising
  • Admissions
  • Tuition & Fees