Home > Degree Programs > PhD in Management > Finance > Curriculum

Curriculum

The finance major in the Management PhD program is a rigorous program designed to prepare doctoral students to become productive researchers and teachers at top research universities. The program uses economics, mathematics, decision theory and statistics to examine issues in finance research. Each student follows a slightly different path, depending on future research interests. This introduces some flexibility to the curriculum presented below. Refer to the PhD Handbook for complete information on all program requirements.

First Year

Fall Semester

Typically five of the following:

Spring Semester

Typically four of the following, with at least two being finance classes:

By the end of the first year, you will be expected to present a paper outlining your current progress in an area of research, as well how you might contribute in the future.

Second Year

Fall Semester

Typically four of the following:

Spring Semester

If research interests dictate, you may register for research seminars or other classes in related disciplines such as accounting (for example, MGA 743 or MGA 795), computer science (for example, machine learning, big data, computing), industrial and systems engineering (for example, simulations and stochastic models), etc. These are subject to approval by your PhD advisor.

By the end of your second year, you will be expected to present a full research paper of publishable quality and, in the summer of the second towards the third year, you must pass the comprehensive exam. The exam consists of two written parts and takes two days. On day one, you will be asked to answer questions inspired by the finance research classes you have taken. On the second day, you will be required to write a paper review for a hypothetical finance journal.

Third Year and Beyond

After passing the comprehensive exam, you will work closely with your faculty advisor toward the completion of your thesis. While you may continue to take regular classes, your focus will be on the quality of your research and its publishability.