Course Schedule
The Master of Science in Data Science & Analytics (DSAN) program requires 30 credits. You’ll take five core courses to establish your foundational knowledge and five elective courses to explore your interests through your selected concentration. We offer different paths to achieving the degree: full-time, part-time and an accelerated B.S (B.A.)./M.S. for current Georgetown undergraduates.
Course schedule options
Full-time course schedule
Full-time students will take three courses per semester. You can graduate sooner by taking your final elective in the Fall semester or by taking a course in the summer prior to the graduating semester.
Year 1
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 5000: Data Science and Analytics (Core Course) | 3 |
| – | DSAN 5100: Probabilistic Modeling and Statistical Computing (Core Course) | 3 |
| – | Elective course | 3 |
| Spring | DSAN 5200: Analytical Data Visualization (Core Course) | 3 |
| – | DSAN 5300: Statistical Learning (Core Course) | 3 |
| – | Elective course | 3 |
| Summer (Optional) | Internship (Optional) or Elective course | .25 or 3 |
Year 2
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 6000: Big Data and Cloud Computing (Core Course) | 3 |
| – | Elective course | 3 |
| – | Elective course | 3 |
| – | Internship (Optional) | .25 |
| Spring | Elective course | 3 |
| – | Internship (Optional) | .25 |
Part-time course schedule
We offer a part-time option so you can pursue your graduate degree while managing other priorities in your life. With courses offered after traditional working hours, part-time students may take one to two courses per semester. While you must complete the degree in three calendar years, you can finish earlier if you take classes during the summer.
Year 1
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN-5000: Data Science and Analytics | 3 |
| – | DSAN-5100: Probabilistic Modeling and Statistical Computing | 3 |
| Spring | DSAN-5200: Analytical Data Visualization | 3 |
| – | DSAN-5300: Statistical Learning | 3 |
Year 2
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN-6000: Big Data and Cloud Computing | 3 |
| – | Elective course | 3 |
| Spring | Elective course | 3 |
| – | Elective course | 3 |
Year 3
| Semester | Course | Credit |
|---|---|---|
| Fall | Elective course | 3 |
| – | Elective course | 3 |
Accelerated B.S.(B.A.)/M.S. course schedule
The accelerated B.S.(B.A.)/M.S. in Data Science & Analytics degree is an option to start graduate school while finishing your undergraduate degree at Georgetown. There are two options to complete this accelerated degree: take one graduate-level DSAN course per semester during your senior year or take two graduate-level DSAN classes per semester during your senior year.
Accelerated B.S.(B.A.)/M.S. option one
As a Georgetown undergraduate, you can complete the accelerated B.S.(B.A.)/M.S. in Data Science & Analytics by taking one graduate-level Data Science & Analytics class per semester during your senior year, followed by three semesters of graduate-level coursework.
Undergraduate senior year
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 5000: Data Science and Analytics | 3 |
| Spring | DSAN 5200: Analytical Data Visualization | 3 |
Master’s year 1
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 5100: Probabilistic Modeling and Statistical Computing | 3 |
| – | DSAN 6000: Big Data and Cloud Computing | 3 |
| – | Elective | 3 |
| Spring | DSAN 5300: Statistical Learning | 3 |
| – | Elective | 3 |
| – | Elective | 3 |
Master’s year 2
| Semester | Course | Credit |
|---|---|---|
| Fall | Elective | 3 |
| – | Elective | 3 |
Accelerated B.S.(B.A.)/M.S. option two
As a Georgetown undergraduate, you can complete the accelerated B.S.(B.A.)/M.S. in Data Science & Analytics by taking two graduate-level Data Science & Analytics classes per semester during your senior year, followed by two semesters of graduate-level coursework.
Undergraduate senior year
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 5000: Data Science and Analytics | 3 |
| – | DSAN 5100: Probabilistic Modeling and Statistical Computing | 3* |
| Spring | DSAN 5200: Analytical Data Visualization | 3 |
| – | DSAN 5300: Statistical Learning | 3* |
*You may double-count (i.e., apply toward both your undergraduate and graduate degree requirements) two Data Science and Analytics classes. Any data science and analytics classes taken during your senior year beyond the two double-counted courses are permitted only if you have earned at least 120 undergraduate credit hours – these additional courses will count toward the M.S. degree only.
Master’s year 1
| Semester | Course | Credit |
|---|---|---|
| Fall | DSAN 6000: Big Data and Cloud Computing | 3 |
| – | Elective | 3 |
| – | Elective | 3 |
| Spring | Elective | 3 |
| – | Elective | 3 |
| – | Elective | 3 |
Request more information
Discover how Georgetown’s M.S. in Data Science & Analytics program can accelerate your data science and analytics career.
