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PhD in Business Statistics - Curriculum

Course work

Students in this program are required to show competency in linear algebra and calculus by passing competency examinations or taking MATH 5304 and MATH 5305.

The course work in the program must total at least 60 semester credit hours past the bachelor's degree, exclusive of any leveling work required or enrollment in BA 8000, the doctoral dissertation course. A Ph.D. student is required to enroll in 24 hours each calendar year with a minimum of 9 hours and a maximum of 12 hours each long semester.

There is no requirement for a foreign language. The student who is successful continuously at each step in progress should complete degree requirements in two to three years of full-time study beyond the master's degree.

The doctoral student degree program consists of:

Leveling Courses

Doctoral students who do not have proper business background will need to take leveling courses, including:

ACCT 5401 Financial and Managerial Accounting
FIN 5320 Financial Management I
ECO 5300 The Economic
MKT 5350 Marketing Foundations
MGT 5371 Managing Org. Behavior & Org. Design
BLAW 5290 Legal, Regulatory, and Ethical Environment of Business
ISQS 5237 Computer Skills for Business Management
ISQS 5345 Statistical Concepts for Business Management

Tool Courses

Early in the program each student must satisfy tool requirements -- through course work with a minimum grade of B -- in advanced statistics and advanced microeconomics and macroeconomics. Tools courses include:

ISQS 5347 Advanced Statistical Methods
ECO 5311 Macroeconomic Theory and Policy
ECO 5312 Microeconomic Analysis

Research Methods

At least three research method courses are required for each doctoral student's program -- either as a supporting field or elsewhere -- chosen from the following courses:

ISQS 5348 Applied Distribution-Free Statistics in Business
ISQS 5349 Regression Analysis
ISQS 6347 Advanced Experimental Statistics
ISQS 6348 Applied Multivariate Analysis
ISQS 6349 Advanced Business Forecasting

Business Statistics Specialization Courses

The following courses are generally included in the specialization in Business Statistics:

ISQS 5338 Information Technology for Managers
ISQS 5348 Applied Distribution-Free Statistics in Business
ISQS 5349 Regression Analysis
ISQS 6347 Advanced Experimental Statistics
ISQS 6348 Applied Multivariate Analysis
ISQS 6349 Advanced Business Forecasting
STAT 5328 Intermediate Mathematical Statistics I
STAT 5329 Intermediate Mathematical Statistics II

Supporting Areas

Two supporting areas are required for each Ph.D. student's program. These are the available areas: