Computational Finance
The Department of Statistics is part of the Computational Finance Program at Purdue University. It provides students the mathematical and statistical theory and tools, the computational experience, and the financial knowledge that are the basis of today's investment finance industry, including derivative pricing, portfolio management, risk management, and their associated numerical methods. The weekly Computational Finance seminar brings in academic and industrial leaders from the financial world, providing valuable contacts for the students. Faculty from several other departments and schools, including Computer Science, Economics, Electrical and Computer Engineering, Industrial Engineering, Management, Mathematics, and Physics have taught in the program and participated in the seminars.Our program is primarily tailored to applicants with undergraduate degrees in mathematics or mathematical statistics. Applicants with other undergraduate backgrounds are considered upon completion of an upper division real analysis course, or an upper division course in probability theory or mathematical statistics, from an undergraduate mathematics or mathematical statistics program, OR when they have had high performance in graduate applied mathematics courses and show promise of doing well in our required mathematics and statistics courses. Additionally, students should have at least one course in linear algebra, and one applied upper division course in statistical methodology.
Financial Support: The Computational Finance students in the Department of Statistics obtain support typical of many graduate students in Statistics: a half-time teaching assistantship, which includes full payment of tuition.