Data Analytics & AI Curriculum
The curriculum below is the most current information available. To browse curriculum from the current academic year and past years, please view our Academic Catalogs. If you are a current student with questions about your course requirements, please speak with your advisor or refer to your Degree Audit Report (DARS) in eServices.
Click here for course descriptions.
| COURSE NO. | COURSE TITLE | CREDITS | CLASS HOURS PER WEEK |
|---|---|---|---|
| AIDA1400 | Excel and Data Visualization | 3 | 4 |
| AIDA1420 | Machine Learning | 3 | 3 |
| AIDA1430 | Artificial Intelligence | 3 | 3 |
| AIDA1440 | Data Analytics Essentials | 3 | 3 |
| CVNP2646 | Python/JSON | 4 | 5 |
| Program Total | 16 | 18 |
Note: AAS degrees must have Gen. Ed. courses from three goal areas and AS degrees from six goal areas of the MN Transfer Curriculum.
Visit with advisor or refer to Degree Audit Report for elective options.
This course sequence is an example.