MS Program in Mathematics and Statistics

The MS program in Mathematics and Statistics prepares students for real-life applications of mathematics and statistics in data science, machine learning, and artificial intelligence (AI). The curriculum consists of methodological and computational courses including Probability, Statistical Inference & Modeling, Supervised Learning, Unsupervised Learning, Time Series, Bayesian Statistics, Numerical Methods for Data Science, Optimization, Theory & Applications of Machine Learning, Computing with R & Python, Cloud Computing, Deep Learning.

The program accepts part-time and full-time students. Applications are considered for both Fall and Spring admission. Each semester several evening courses are offered, providing flexibility for working professionals. Current Georgetown students have the unique opportunity to pursue our accelerated program.

The program enrolled its first class in the fall semester of 2006. Our graduates have successfully pursued careers in industry, government, non-governmental organizations as data scientists or statisticians. Our program has also prepared students to continue PhD studies in mathematics, statistics, computer science, and economics.