Business Ph.D.

No matter what your background is (e.g., business, engineering, philosophy, sciences), if you are intellectually curious, have an analytical mind, and enjoy challenges, you should consider the Ph.D. program in Accounting at the University of Kansas. The program prepares you to be a new scholar ready to enter the professorate. You will have the opportunity to work with internationally known faculty members, on a variety of research projects. Faculty research interests include utilizing advanced technology to improve decision-making processes, economics of the auditing profession, effects of new financial reporting standards, causes and consequences of financial reporting failures, and many other topics.

The doctoral program in Accounting at the University of Kansas includes a combination of formal coursework, informal interaction with faculty and other students, and hands-on experience in both teaching and research. Currently, the University of Kansas program trains students in three areas of accounting: Auditing, Financial Accounting, and Tax.. Students receive financial support including tuition waivers and a portion of subsidized student health insurance. Students have access to a wide variety of databases typically available only at premier doctoral granting institutions. The small size of the program allows you to have close interaction with the faculty.

We look for three characteristics in our applicants: i) an outstanding student as demonstrated by prior degrees, GPA, and GMAT scores; ii) some professional experience; iii) some academic experience in teaching and/or research. Not all of our current students have both academic and professional accounting experience. We are looking for people we believe are most likely to succeed, rather than following a fixed formula. While successful candidates for admission are expected to have a background in accounting, applicants without such background will be considered provided they agree to undertake additional coursework in accounting as part of their doctoral program.

Area Coursework

1. DSCI 920: Probability for Business Research OR an equivalent course
2. DSCI 921: Statistics for Business Research OR an equivalent course
3. BE 917: Advanced Managerial Economics OR an equivalent course
4. PRE 810: Regression Analysis OR an equivalent course
5. ECON 715: Elementary Econometrics OR an equivalent course
6. DSCI 922: Advanced Regression OR an equivalent course
 

Area of Concentration (Major): Auditing and Financial tracks

7. ACCT 928: Introduction to Accounting Research
8. ACCT 929: Seminar in Archival-Based Accounting Research
9. ACCT 932: Seminar in Financial Accounting Research I
 
Auditing track:
10. ACCT 930: Seminar in Financial Accounting Research II
11. ACCT 931: Seminar in Auditing Research II OR approved accounting, finance, or economics seminar
 
Financial track:
10. ACCT 933: Seminar in Financial Accounting Research II OR approved accounting, finance, or economics seminar
11. FIN 937: Seminar in Business Finance, FIN 938: Seminar in Investments, FIN 939: Seminar in Financial Institutions OR approved accounting, finance, or economics seminar
 
Tax track:
10. ACCT 934: Seminar in Empirical Tax Research I OR approved accounting, finance, or economics seminar
11. ACCT 935: Seminar in Empirical Tax Research II OR approved accounting, finance, or economics seminar
 

Supporting Areas (Minor)
Course work in the area of concentration is supplemented and strengthened by study in one or two supporting areas (Minors). Examples of supporting areas include finance, econometrics, or economic theory. The first supporting field is generally topical in nature, such as financial economics or corporate financial theory, and usually consists of two or more graduate-level courses typically seminar in nature. The finance supporting area courses cannot be any course taken as one of the five courses for the area of concentration.

The second supporting field generally develops specialized analysis skills, such as econometrics, and usually consists of two or more graduate-level courses beyond the core requirements.

Some examples of possible supporting areas:
Supporting Areas                                                                    Regularly Offered Courses
General supporting areas
Finance                                                                               FIN 937, Fin 938, Fin 939 or other Fin 705 or above
Industrial Organization                                                        ECON 730, Econ 830, Econ 831
International Economics                                                      ECON 750, Econ 850, Econ 851
Financial Economics                                                           ECON 769, Econ 869, Econ 918
Economic Theory                                                                ECON 830, Econ 869, Econ 880

Research Tools areas
Econometrics                                                                      ECON 817, 818, 915, 916, 917, 918
Statistics (PSYC)                                                                PSYC 789, 790, 791, 893, 894, 895, 896
Statistics (MATH)                                                                MATH 715, 717, 722, 727, 728

Alternatively, a more-focused minor area of concentration can include four or more additional courses (e.g., finance or econometrics). Methodology courses not shown in the following list can be substituted with approval (for example, certain Math courses).

12-15 FIN 937: Seminar in Business Finance
FIN 938: Seminar in Investments
FIN 939: Seminar in Financial Institutions
ECON 730: Topics in Industrial Organization
ECON 750: The Theory of International Finance
ECON 769: Financial Economics
ECON 817: Econometrics I
ECON 818: Econometrics II
ECON 830: Game Theory and Industrial Organization
ECON 831 Economics of Regulation
ECON 850: The Advanced Theory of International Finance
ECON 851: The Theory of International Trade
ECON 869: Advanced Financial Economics
ECON 880: Selected Topics in Economic Theory
ECON 915: Advanced Econometrics I
ECON 916: Advanced Econometrics II
ECON 917: Advanced Econometrics III
ECON 918: Financial Economics
PSYC 789: Psychological Statistics: Foundations and Applications
PSYC 790: Statistical Methods in Psychology I
PSYC 791: Statistical Methods in Psychology II
PSYC 893: Multivariate Analysis
PSYC 894: Multilevel Modeling
PSYC 895: Categorical Data Analysis
PSYC 896: Structural Equation Modeling
MATH 715: Sampling Techniques
MATH 717: Nonparametric Statistics
MATH 722: Mathematical Logic
MATH 727: Probability Theory
MATH 728: Statistical Theory
 

Program Requirements and Information

Area of Concentration
Most students admitted in accounting typically will select that area as their concentration. However, an aspirant, with the assistance of his or her faculty advisor and the area faculty, may propose an interdisciplinary area of concentration. The aspirant must take at least five advanced courses in the area of concentration. These courses may include those offered outside the School of Business.
Supporting Areas
Coursework in the area of concentration is supplemented and strengthened by study in one or two supporting areas. A supporting area is one that supplements and complements the area of concentration. The aspirant will satisfy the supporting area requirement by taking at least four advanced courses in the supporting areas (at least two courses in each of two supporting areas, or at least four courses in one supporting area). Courses recommended for preparation for the qualifiers may not be included in satisfying the supporting area requirement.
Research Methodology
For successful qualifier assessment, the student's program of study should include adequate preparation in research methodology.
Degree Completion Timeline
Years 1-2: Coursework* Year 3: Comprehensive Exams Year 4: Dissertation Proposal Year 5: Dissertation Defense (Some students can complete the program in four years.)
Placements
Over the past several years, our PhD graduates have been placed at schools such as the University of Pittsburgh, University of Waterloo, Iowa State University, University of Nebraska-Lincoln and Rutgers University.  A complete list of placements can be found here.