Master of Science in Data Science & Analytics

M.S. in Data Science & Analytics

Empowering you to build a better world by thinking critically, independently and creatively in an active and diverse community.

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Accelerate Your Path to a Data Science Career

Our M.S. in Data Science & Analytics (DSAN) program provides driven individuals with the in-depth technical skills and career development support needed to thrive in the high-growth data science field. The curriculum allows students to focus on areas like deep learning, big data, cloud computing, advanced Natural Language Processing (NLP), Large Language Models (LLMs), AI and more. Access to hands-on research opportunities and expert faculty actively working in the data science field gives you practice in real-world skill application, making you a valuable addition to any industry. Whether you enroll part-time or full-time, join us to study Data Science & Analytics at Georgetown to transform your passion and knowledge into expertise, navigating the data-driven world with confidence. Current Georgetown students can explore our accelerated program details.

Part-Time or Full-Time Study
Our full-time students complete the program in as few as 16 months and our part-time students can take up to three years to finish.

Electives to Fit Your Interests
Our 22+ electives allow you to explore how data intersects with various topics, including climate change, ethics, healthcare and blockchain.

Skills-Focused Curriculum
Our faculty includes experts actively engaged in research and practice within the data science field, including at prominent institutions.

Admissions Deadline Extension

Georgetown DSAN values the impactful work of those in public service, and we recognize that federal government reductions in the workforce and other governmental shifts have impacted many in the DMV community and beyond. Our program is pleased to offer an application fee waiver and deadline extension to support those affected who would like to advance their skills and explore new opportunities.

Priority Deadlines | December 15 & January 15
Round 2 Deadline | April 1*
Round 3 Deadline | May 1*

*10 % scholarship and application fee waiver for those impacted by the federal workforce reduction

Explore Program Pre-requisites

Curriculum that Integrates Fundamentals &
Creative Problem-Solving

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Courses to Create Confident Data Scientists

Our rigorous program fosters intellectual curiosity and creative problem-solving. From big data to advanced mathematical and statistical modeling, you can specialize in deep learning, cloud computing, AI and more. Gain practical experience through real-world data analysis applications and industry best practices, equipping you to tackle complex analytical challenges.

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Flexible Study for Working Professionals

Our program is designed to be flexible, and we support all our students in making the degree fit their unique interests and goals. Classes are offered throughout the day, including outside of traditional working hours in the evenings, so working professionals can participate. Our students bring diverse backgrounds and experiences, enhancing the overall experience.

Part-Time Course Plan

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Gain Experience Through Hands-On Research

Working with real-world data in a research setting is essential for aspiring data scientists. Our partnership with the Massive Data Institute, capstone course and many elective classes facilitate impactful learning for our students. You will gain experience and perspective alongside experts leading interdisciplinary data science research across the university.

Research Opportunities

Our Expert Faculty

Meet Our Faculty

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Find out how our M.S. in Data Science & Analytics program can accelerate your career and help you embark on an exciting new data science and analytics path.

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Student Perspective: Breaking Barriers on the Research Conference Circuit

This semester, I had the opportunity to be invited to two conferences to present my personal research: The Lumpen Variable: Reimagining Queerness in Machine Learning.

May 21, 2025