Financial accounting researchers are interested in the use of accounting information by investors, creditors, analysts, and other decision-makers. We are also interested in the preparation of accounting information by managers who may respond to economic incentives and use discretion to manage earnings. Finally, we are also interested in the regulation of accounting information by standard setters and other regulators who are evaluating the relevance and reliability of current and potential accounting information.

Auditing researchers are interested in questions of independence, governance, compliance, auditing processes, and biases. This research helps global standard-setters and regulators adopt standards and policies that protect the integrity of our accounting information. 

Managerial accounting research topics include optimal employee compensation and governance, using information for efficiency management, motivating creativity, etc.

Taxation research covers economic incentives, transfer pricing, compliance with tax enforcement, multistate taxation, and numerous topics about accounting for income taxation, where tax rules overlap with financial reporting standards.

Archival research involves the statistical analysis of historical data to examine relevant research questions based on economic theory for its predictions. Thus, archival research requires a strong background in statistics and economics, which we provide through rigorous coursework in the business school and the economics department.

Experimental or survey methods are commonly used to obtain data to conduct what is broadly known as behavioral research. Behavioral research relies on psychology for its theories. Because this research is interested in what people do and why they do it, it is often necessary to conduct controlled experiments or survey participants. Using experiment or survey methods, researchers in accounting and finance have provided compelling alternative explanations where economic theories fall short.

Analytical research uses quantitative mathematical models to explain and predict behavior. This research is grounded in game theory from economics. Students wanting to conduct analytical research should have even stronger mathematical backgrounds than other applicants. We will design a program of study that builds on those initial strengths with additional coursework in mathematics and economics.

Rui Silva | 2024 | University of Washington

Mandy Ellison | 2024 | Texas State University

Minjae Kim | 2024 | Analysis Group (Industry)

Laura Kettell | 2023 | University of Colorado at Boulder

Abhi Ramchandni | 2023 | University of Hawaii

Anthony Welsch | 2023 | University of Chicago

Jesse Chan  |  2022  |  Boston University

Cassie Mongold  |  2022  |  University of Illinois Urbana-Champaign

Ryan Hess  |  2021  |  Stanford University (postdoc); Oklahoma State University

Ryan Ballestero  |  2021  |  Kent State University

Dan Rimkus  |  2021  |  University of Florida (October 2021 graduation)

Shannon Garavaglia  |  2020  |  University of Pittsburgh

Jakob Infuehr  |  2019  |  University of Southern Denmark

Antonis Kartapanis  |  2019  |  Texas A&M University

Kristen Valentine  |  2019  |  University of Georgia

Colin Koutney  |  2018  |  George Mason University

Zheng Leitter  |  2018  |  Nanyang Technological University

Brian Monsen  |  2018  |  The Ohio State University

Xinyu Zhang  |  2018  |  Cornell University

This is a full-time, in-residence (i.e., in-person) program of coursework and research which usually takes four to five years to complete.

Our deadline is December 15^th for admission starting the following fall. The admissions committee will begin reviewing applications shortly after this deadline, so it is in your best interest to make sure all required materials have been submitted by that date. We typically start virtual interviews in January, with campus flyouts for a small group of applicants starting in late January or February.

We usually receive about 80 applications each year and are likely to admit two or three students to begin in the following fall term.

Students come from a variety of backgrounds, with some entering the program immediately after their undergraduate degree, others with their degree and work/research experience, and some with work/research experience and a master’s degree. Because our students come from various backgrounds and the competition in the applicant pool changes from year to year, it is difficult to determine the likelihood of acceptance without viewing the strength of your application as a whole compared to the pool of fellow applicants.

The admissions committee takes a holistic approach to admissions. We consider factors such as: intellectual curiosity, reasoning ability, writing ability, quantitative skills, institutional knowledge, work experience, research experience, familiarity with the academic accounting literature, knowledge of what a PhD entails, and insights from recommendation letters.

Many successful applicants will have already begun taking some math refresher courses, such as engineering calculus I and II and linear/matrix algebra. The longer it has been since these quantitative tools have been used, the harder the doctoral coursework will be. The initial doctoral classes typically also include students in finance and economics, and they typically enter their doctoral programs straight from rigorous quantitative master's degrees.

For applicants who have completed their undergraduate degree in a country where English is not the primary language, a TOEFL score will be a necessary part of the application. This is a university-wide requirement and is necessary even if a graduate degree has been completed from an accredited university in the United States.  TOEFL scores over two years old will not be accepted. A list of TOEFL-exempt countries can be found on the UT Austin Graduate School website.

For all applicants, the Department requires a GMAT or GRE test score. This requirement cannot be waived. Scores over five years old will not be accepted.

The application fee is charged by the Graduate School, which does offer fee waivers for financial hardships for domestic applicants. There are no waivers for international students. Please see the Graduate School website for more details.

Financial assistance is offered to all students admitted to the doctoral program and includes fellowship payments as well as a 20-hour teaching assistant/research assistant appointment. This appointment covers the cost of tuition and also provides health insurance coverage. 

The financial support we provide is competitive with other top PhD programs in the U.S.