MS, Data Science & Analytics
at Howard University

Howard Graduate School's fully online interdisciplinary M.S. in Applied Data Science and Analytics program prepares data-driven leaders to generate, analyze, interpret, and present complex data in compelling ways that solve real-world problems. Whether you are interested in using data science for social impact, predicting the spread of a disease outbreak, or understanding the impacts of racial bias implicit in facial recognition software, predictive policing algorithms, or AI-based financial services, our M.S. in Applied Data Science and Analytics is designed to equip you with the data science skills you need to advance your career and make a meaningful impact in your work. Foundational coursework in data mining and machine learning, predictive modeling and analytics, SQL and relational databases, statistical programming in R and Python, and data visualization provides the skills you need to enhance your decision-making in academic, government, professional, applied research, social impact, and policy settings.