Sample Graduate Program Outline - Plan C
To see how your classes in the data science program might look, check out the sample schedules below. The schedules below are simply examples, and are not required. Students are welcome to take courses at their own pace, completing the degree beyond 4 semesters if needed.
3 semester option
Semester 1
| Course Title | Credits |
|---|---|
| CSCI 5521 - Machine Learning Fundamentals | 3 |
| CSCI 5707 - Principles of Database Systems | 3 |
| STAT 5101 - Theory of Statistics I | 4 |
| Colloquium | 1 |
| Elective | 3 |
| Total Credits | 14 |
Semester 2
| Course Title | Credits |
|---|---|
| CSCI 5523 - Introduction to Data Mining | 3 |
| CSCI 5103 - Operating Systems | 3 |
| STAT 5102 - Theory of Statistics II | 4 |
| Total Credits | 10 |
Semester 3
| Course Title | Credits |
|---|---|
| Elective (8000 level) | 3 |
| Elective | 3 |
| Elective | 3 |
| Total Credits | 9 |
4 semester option
Semester 1
| Course Title | Credits |
|---|---|
| CSCI 5521 - Machine Learning Fundamentals | 3 |
| CSCI 5707 - Principles of Database Systems | 3 |
| STAT 5101 - Theory of Statistics I | 4 |
| Colloquium | 1 |
| Total Credits | 11 |
Semester 2
| Course Title | Credits |
|---|---|
| CSCI 5523 - Introduction to Data Mining | 3 |
| CSCI 5103 - Operating Systems | 3 |
| STAT 5102 - Theory of Statistics II | 4 |
| Total Credits | 10 |
Semester 3
| Course Title | Credits |
|---|---|
| Elective (8000 level) | 3 |
| Elective | 3 |
| Total Credits | 6 |
Semester 4
| Course Title | Credits |
|---|---|
| Elective | 3 |
| Elective | 3 |
| Total Credits | 6 |
Questions?
Allison Small
Graduate Program Coordinator
Current students: [email protected]
Prospective students: [email protected]