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 one of the top data science master’s programs 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.

Curriculum that Integrates Fundamentals &
Creative Problem-Solving

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.

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.

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.