Typical Schedule | 45 Credits
| Summer 1: 0 Credits Preparatory courses: 0 Core courses: 0 Elective courses: 0 |
Fall 1: 9 Credits Preparatory courses: 0 Core courses: 6 Elective courses: 3 |
Spring 1: 12 Credits Preparatory courses: 0 Core courses: 6 Elective courses: 6 |
Summer 2: 3 Credits Preparatory courses: 0 Core courses: 0 Elective courses: 3 |
Fall 2: 11 Credits Preparatory courses: 0 Core courses: 5 Elective courses: 6 |
Spring 2: 10 Credits Preparatory courses: 0 Core courses: 1 or 4 Elective courses: 6 or 9 |
| IESM106 Probability and Statistics (0) | IESM220 Operations Research 1 (0) | IESM321 Operations Research 2 (3) | IESM Elective 4 (3) | CS343 Data Visualization (3) | IESM396 Capstone Thesis (4) (or IESM397 Capstone Project (1)) |
| DS120 Programing for Data Science (0) | IESM321 Applied Statistics for Engineers (3) | CS340 Machine Learning (3) | IESM395 Capstone Preparation (2) | IESM Elective 6 (3) | |
| CS326 Database Systems (3) | IESM Elective 2 (3) | IESM Elective 5 (3) | IESM Elective 7 (3) | ||
| IESM Elective 1 (3) | IESM Elective 3 (3) | Free Elective (3) | Free/IESM Elective (if IESM 397 is taken) (3) |
| Preparatory courses |
| Core |
| Elective |