Post-Baccalaureate Diplomas and Certificates Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications
Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications
Artificial Intelligence and Machine Learning Applications
Graduation Requirements:
In order to graduate with the Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications, students must obtain a minimum overall average of 60% on all courses presented for the diploma.
Program Requirements:
To graduate with a Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications, students must complete 48 credits as follows:
All of the following 21 cr. Post-Baccalaureate Core:
| COSC 3007 | Artificial Intelligence | 3 cr. |
| COSC 3206 | Computational Theory | 3 cr. |
| COSC 3207 | Computer Graphics | 3 cr. |
| COSC 3306 | Programming Paradigms | 3 cr. |
| COSC 3606 | Databases and Database Management | 3 cr. |
| DATA 3006 | Machine Learning | 3 cr. |
| PHIL 2816 | Digital Ethics | 3 cr. |
21 cr. from the following Advanced Computer Science courses:
| Human Computer Interaction | 3 cr. | |
| COSC 3307 | 3D Computer Graphics | 3 cr. |
| COSC 3406 | Advanced Game Design and Development | 3 cr. |
| COSC 3657 | Distributed Systems | 3 cr. |
| COSC 4206 | Topics in Computing Science | 3 cr. |
| COSC 4207 | Seminars in Computer Science | 3 cr. |
| COSC 4406 | Software Engineering | 3 cr. |
| COSC 4607 | Security and Protection | 3 cr. |
6 credits from the following (if not already used to satisfy above):
| Upper level COSC | ||
| DATA 3016 | Tools and Techniques in Data Science | 3 cr. |
| DATA 4006 | Data Analytics | 3 cr. |
| GEOG 4027 | Spatial Computing | 3 cr. |