Ph.D.-level course covering current topics in Revenue Management and Pricing Analytics. The goal of the course is to provide students with the background and tools required to perform research in the field. The course is divided into two parts. Part 1 goes for ten weeks and consists of a combination of lectures on discrete-choice models, assortment optimization, revenue management with dependent demands, followed by lectures on pricing analytics including basic pricing theory, dynamic pricing and on-line learning. The lectures will be interspersed with paper presentations that reinforce the theory. Students are expected to read the material provided before coming to class. Part 2 will take place during the three last weeks of the course and will be devoted to project presentations. The instructor will provide a list of current research topics from which the students can select a class project, but students are free to propose their own projects.