WPI provides an environment that values both teaching and research, which is ideal for me. I enjoy teaching at WPI because students are interested in learning and willing to work hard. My teaching focuses on how business, healthcare, and nonprofit organizations can best use computing technologies, such as database systems, electronic health records systems, and mobile apps. Students in my classes learn to design computing applications that meet the needs of organizations.
WPI Data Science faculty and PhD candidates are exploring every aspect of this burgeoning field. Together, they’re fueling breakthroughs that have direct, real-world impact in health, genetic analysis, sustainability, educational software, financial trading, and more.
A faculty advisor will help you design a Plan of Study for your dissertation as well as coursework in the core areas of data analytics and big data computing, statistical foundations and mathematical analytics, and business intelligence and innovation.