Accelerated Master’s Program
The Data Science and Analytics (DSAN) accelerated master’s is open to Georgetown University undergraduates who want to combine their senior year with their first year of master’s study. This saves both time and money, and allows students to graduate with a bachelor’s degree and a master’s degree in 5 years.
Program Details
Application Deadlines
Fall Admission: March 1
Applications for the accelerated program and all supporting materials must be received by March 1 to receive consideration.
Spring Admission: October 1
Applications for the accelerated program and all supporting materials must be received by October 1 to receive consideration for Spring admission.
Learn More
- This program allows students to complete a BS (or BA) and an MS in Data Science and Analytics in a 5-year period. Students can double-count two graduate classes toward their BS (or BA) and their MS.
- Georgetown undergraduates should apply in their junior year.
- Our classes require pre-knowledge of R and Python programming, multivariable calculus (i.e., Calculus I and II), probability and statistics, and a desire to learn about data analysis and modeling. Interested students can contact our program at gradanalytics@georgetown.edu for advice on how to best to fill gaps in their knowledge or experience.
Further Details
- All new accelerated students will take our required R and Python programming bootcamp in the summer before their senior year. The bootcamp is a fully remote, asynchronous course with weekly assignments graded by teaching assistants.
- Up to two DSAN classes (6 credits) will be counted toward both the BS/BA and MS degrees. Accelerated students should consult with their advising dean to verify whether their DSAN classes can count toward their major or if they will count as general electives. Students are permitted to take up to two additional DSAN classes that will be applied to the master’s degree only, if these credits are not needed for completion of the BA/BS degree.
- All accelerated students will take our introductory core course, DSAN 5000: Data Science and Analytics in their first semester. If students choose (with their advising dean’s approval) to take a second class, they will take our other core course, DSAN 5100: Probabilistic Modeling/Statistical Computing. In the Spring, students can elect to take the core course DSAN 5200: Advanced Data Visualization and/or the core course DSAN 5300: Statistical Learning for DSAN. DSAN 5000, 5100, 5200, and 5300 details can be found here.
- Most accelerated students will complete (at least) 2 classes before they officially start the MS Program. Once they begin the MS program full-time, they will have 6-8 classes remaining for degree completion. The remaining classes may be completed in one to one and a half years.