Degree Requirements
Students in the MS Data Science and Analytics program must successfully complete 30 credits and maintain a cumulative GPA of no less than 3.00.
Full-Time Plan of Study
Part-Time Plan of Study
Fall: First Year
| Course | Credits |
|---|---|
| DSAN-5000: Data Science and Analytics | 3 |
| DSAN-5100: Probabilistic Modeling and Statistical Computing | 3 |
Spring: Second Year
| Course | Credits |
|---|---|
| DSAN-5200: Analytical Data Visualization | 3 |
| DSAN-5300: Statistical Learning | 3 |
Fall: Second Year
| Course | Credits |
|---|---|
| DSAN-6000: Big Data and Cloud Computing | 3 |
| Elective Course | 3 |
Spring: Second Year
| Course | Credits |
|---|---|
| Elective | 3 |
| Elective | 3 |
Fall: Third Year
| Course | Credits |
|---|---|
| Elective | 3 |
| Elective | 3 |
Note: PT DSAN students may take 1 or 2 classes per semester, provided degree requirements are completed within 3 calendar years. PT students may complete degree requirements earlier by taking 1-2 classes during the summer semesters.
BS-MS Accelerated Plan of Study
Option One: One DSAN Class per Semester in Senior Year
Fall: Undergraduate Senior Year
| Course | Credit |
|---|---|
| DSAN-5000: Data Science and Analytics | 3 |
Spring: Undergraduate Senior Year
| Course | Credit |
|---|---|
| DSAN-5200: Analytical Data Visualization | 3 |
Fall: First-Year Graduate Student
| Course | Credit |
|---|---|
| DSAN-5100: Probabilistic Modeling and Statistical Computing | 3 |
| DSAN-6000: Big Data and Cloud Computing | 3 |
| Elective | 3 |
Spring: First-Year Graduate Student
| Course | Credit |
|---|---|
| DSAN-5300: Statistical Learning | 3 |
| Elective | 3 |
| Elective | 3 |
Fall: Second-Year Graduate Student
| Course | Credits |
|---|---|
| Elective | 3 |
| Elective | 3 |
Option Two: Two DSAN Courses per Semester in Senior Year
Fall: Undergraduate Senior Year
| Course | Credits |
|---|---|
| DSAN-5000: Data Science and Analytics | 3 |
| DSAN-5100: Probabilistic Modeling and Statistical Computing | 3* |
Spring: Undergraduate Senior Year
| Course | Credits |
|---|---|
| DSAN-5200: Analytical Data Visualization | 3 |
| DSAN-5300: Statistical Learning | 3* |
Fall: First-Year Graduate Student
| Course | Credits |
|---|---|
| DSAN-6000: Big Data and Cloud Computing | 3 |
| Elective | 3 |
| Elective | 3 |
Spring: Second-Year Graduate Student
| Course | Credits |
|---|---|
| Elective | 3 |
| Elective | 3 |
| Elective | 3 |
*DSAN accelerated students may double-count (i.e. apply toward both UG and grad degree requirements) only TWO DSAN classes. Any DSAN classes taken during senior year beyond the two double-counted classes are permitted only if the student has earned at least 120 undergraduate credit hours, and will apply toward the MS degree only (NOT the undergraduate degree).
Data Science and Analytics Coursework
There are five three-credit core courses, designed to provide students with a solid foundation in data science. We also give a zero-credit programming course in the summer prior to matriculation. The additional five three-credit elective courses allow students to learn tailored skills, helping them apply data analysis to fields of interest. Coursework may be taken in any order that is allowed by the prerequisites.
Please visit Course Descriptions for a complete list of both core and elective courses.