The M.S. in Mathematics and Statistics at Georgetown University's Graduate School of Arts & Sciences prepares students for professional careers where mathematical and statistical techniques are integral. The program emphasizes a curriculum bridging applied mathematics and statistics, with coursework in stochastic processes, financial mathematics, computational sciences, biostatistics, and data mining. Students benefit from a robust internship program, practical training, and a selection of electives covering modern topics such as machine learning, optimization, and deep learning. The degree requires at least 30 credits, including 4 required core courses and 5 electives, plus expectations for at least one non-math/statistics elective. There is no thesis or qualifying exam requirement. The program is STEM-designated, making it attractive for international and domestic students seeking advanced roles in industry, government, or research.