To see how your classes in the data science program might look, check out the sample schedules below.
3 semester option
Semester 1
| Course Title |
Credits |
|---|
| CSCI 5523 - Introduction to Data Mining |
3 |
| CSCI 5707 - Principles of Database Systems |
3 |
| STAT 5302 - Applied Regression Analysis |
4 |
| Colloquium |
1 |
| Elective |
3 |
| Total Credits |
14 |
Semester 2
| Course Title |
Credits |
|---|
| CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming |
3 |
| EE 5239 - Introduction to Nonlinear Optimization |
3 |
| STAT 5401 - Applied Multivariate Methods |
3 |
| Elective (8000 level) |
3 |
| Total Credits |
12 |
Semester 3
| Course Title |
Credits |
|---|
| Elective |
3 |
| Capstone Project |
3 |
| Total Credits |
6 |
4 semester option
Semester 1
| Course Title |
Credits |
|---|
| CSCI 5523 - Introduction to Data Mining |
3 |
| CSCI 5707 - Principles of Database Systems |
3 |
| STAT 5302 - Applied Regression Analysis |
4 |
| Colloquium (1cr) |
1 |
| Total Credits |
11 |
Semester 2
| Course Title |
Credits |
|---|
| CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming |
3 |
| EE 5239 - Introduction to Nonlinear Optimization |
3 |
| STAT 5401 - Applied Multivariate Methods |
3 |
| Total Credits |
9 |
Semester 3
| Course Title |
Credits |
|---|
| Elective |
3 |
| Elective (8000 level) |
3 |
| Total Credits |
6 |
Semester 4
| Course Title |
Credits |
|---|
| Elective |
3 |
| Capstone Project |
3 |
| Total Credits |
6 |