About The Program
The M.S. in Data Science & Analytics helps students build a robust and solid foundation in the fundamentals of data science including big data and cloud computing, machine and deep learning, interactive and complex visualization methods, advanced databases, text mining and natural language processing, and advanced mathematical and statistical modeling. Languages used include R, Python and SQL.
Students also engage in critical-thinking skills including decision science, data communication, visual narrative development, teamwork, and complex problem solving techniques. Students are prepared for career fields like business intelligence, analytics, decision making, political analytics, big data infrastructure and cloud computing, and many other data-dependent areas.
The program also serves to prepare students who wish to enter a Ph.D. program in data science and analytics, applied mathematics, statistics, computer science or economics.
Connect With Us
Program Contact: Heather Connor – gradanalytics@georgetown.edu
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Degrees Offered
- M.S.
Admissions Requirements
For general graduate admissions requirements, visit the Office of Graduate Admission’s Application Information page. Review the program’s website for additional information on program application requirements.
- Application Form
- Non-Refundable Application Fee
- Statement of Purpose
- Statement on Diversity, Personal Background & Contributions (optional)
- Transcripts: Applicants are required to upload to the application system copies of official transcripts from all undergraduate and graduate institutions attended. Visit the Office of Graduate Admission’s Application Information page for additional details and FAQs.
- WES Evaluation (if applicable)
- Resume/CV
- Official Recommendations (2)
- TOEFL/IELTS (if applicable)
- TOEFL = 100 (minimum)
- IELTS = 7.5 (minimum)
Application Deadlines
Fall
- December 15 (priority)
- January 15 (final)
Degree Requirements
Students must successfully complete 30 credit hours of coursework, including an asynchronous, online course in programming preparation that covers R, Python and command line use in the summer prior to matriculation. The course is equivalent to three credits, designed for matriculating M.S. in Data Science & Analytics students and offered free of charge. All incoming students who do not have a computer science degree or other adequate preparation are required to take the summer course.