Ph.D. Program Structure and Requirements
Given the quantitative nature of the Risk Management and Decision Analysis concentration, Ph.D. students need a strong mathematical background. Thus, each entering Ph.D. student should demonstrate knowledge in the following areas through previous course work (at UT or elsewhere). These prerequisites should be satisfied prior to the completion of the core courses. The student will be required to demonstrate in his or her program of study that these requirements are met by the indicated courses or their equivalents, or else by a letter from the student's advisor explaining any discrepancies.
- One year of advanced calculus
- One semester of linear algebra
- One semester of probability theory
- One semester of programming
Students are expected to gain theoretical knowledge and research methodology training through the first and second year core courses. Specific track courses are selected by the student to delve more deeply into a specific area and to develop expertise that leads to dissertation research.
