Certificate Description
This certificate program features cutting-edge courses designed to equip students with essential skills and knowledge in Artificial Intelligence (AI). It builds a solid foundation in programming for machine learning, develops expertise to build and deploy end-to-end AI models, cultivates analytical skills to implement and enhance AI solutions in real-world applications, and delivers up-to-date knowledge and practical skills to help students excel in AI-related careers.
The curriculum of this program consists of four courses, totaling 12 semester credit hours. Two required core courses establish a foundation in programming, data science, and machine learning. Two additional courses can be elected from an approved list of advanced topics in AI, which may include deep learning, large-scale AI models, computer vision, and cloud computing.
Certificate Director
Dr. Feng George Yu
316 Meshel Hall
(330) 941-1775
fyu@ysu.edu
Academic Advisor
Janeetsa Ortiz
2300 Meshel Hall
(330) 941-2418
jmortiz@ysu.edu
Applicants for this graduate certificate must meet the requirements for admission to Graduate Studies at YSU.
| COURSE | TITLE | S.H. |
|---|---|---|
| CSCI 6901 | Principles of Computer Programming | 3 |
| or CSCI 6902 | Concepts of Computer Programming | |
| CSCI 6951 | Data Science and Machine Learning | 3 |
| Electives (see list below) | 6 | |
| Total Semester Hours | 12 | |
Electives
Select two of the following electives. 5800-level classes must be completed as a graduate student.
| COURSE | TITLE | S.H. |
|---|---|---|
| CSCI 5835 | Artificial Intelligence | 3 |
| CSCI 5895 | Special Topics (related to AI; with approval of program coordinator or chair) | 3 |
| CSCI 6955 | Transformers: Large Language and Vision Models | 3 |
| CSCI 6970 | Biometrics | 3 |
| CSCI 6971 | Cloud Computing and Big Data | 3 |
| CSIS 5825 | Natural Language Processing | 3 |
| CSIS 5837 | Artificial Intelligence in Game Design | 3 |
| CSCI 6952 | Deep Learning | 3 |
Students who complete this program shall be able to:
- Demonstrate a comprehensive understanding of the AI landscape.
- Apply fundamental AI and machine learning concepts to analyze data and develop effective solutions to real-world problems across multiple domains.
- Create, test, deploy, and optimize AI-driven systems that support technology innovation, process improvement, and decision-making in various fields.
- Pursue further education and career development in AI.