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 510 | Introduction to Artificial Intelligence | 3.0 |
| CS 613 | Machine Learning | 3.0 |
| Elective Courses | 6.0 | |
| 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 Credits | 12.0 | |
Sample Plan of Study
| First Year | |||||
|---|---|---|---|---|---|
| Fall | Credits | Winter | Credits | Spring | Credits |
| CS 510 | 3.0 | CS 613 | 3.0 | Electives | 6.0 |
| 3 | 3 | 6 | |||
| Total Credits 12 | |||||
Additional Information
For more information about this program, please visit the College of Computing & Informatics website.
