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Ph.D. in Analytics and Operations

Graduate Program - Business Students
Full-time Program


Core Courses

DSCI 920: Probability for Business Research OR Equivalent Course

DSCI 921: Statistics for Business Research OR Equivalent Course

BE 917: Advanced Managerial Economics OR ECON 700: Survey of Microeconomics OR Equivalent Course

MATH 765: Mathematical Analysis I OR Equivalent Course

MATH 790: Linear Algebra II OR Equivalent Course

Concentration Courses

DSCI 740: Seminar in Decision Sciences

DSCI 934: Seminar in Probability and Statistics:

DSCI 935: Seminar in Optimization:

SCM 995: Doctoral Seminar in Supply Chain Management

SCM 998: Independent Study for Doctoral Students

Supporting Courses

A minor concentration typically consists of two or more additional courses from the following list, plus two or more courses from a second concentration area. Alternatively, a minor concentration requires four or more additional courses from the following list if there is no second concentration area.

FIN 710: Investments I

FIN 711: Investments II

FIN 712: Business Investment

FIN 713: Business Financing

ECON 817: Econometrics I

ECON 818: Econometrics II

ECON 916: Advanced Econometrics II

MKTG 950: Advanced Marketing Research

MKTG 952: Introduction to Marketing Models

MKTG 954: Pricing and Strategy

MKTG 955: Product Management

EPSY 906: Latent Trait Measurement and Structural Equation Models

EPSY 908: Structural Equation Modeling II


Area of Concentration

Most students admitted in analytics and operations 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 that is a combination of the traditional business disciplines of accounting, finance, human resource management, marketing, organizational behavior, and strategic management. An aspirant may also propose an interdisciplinary area of concentration that includes emphases such as international business, law, and economics. 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. Examples of courses taken by PhD students include: DSCI 740: Times Series Analysis DSCI 740: Uncertain Reasoning DSCI 935: Optimization.

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). The typical supporting areas for analytics and operation students are marketing, economics, finance, etc. 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. A sound research is always grounded on sound methodology. A doctoral student in analytics and operations has the opportunity to develop methodological skill in probability and statistics, optimization, uncertain reasoning, game theory, and econometrics. A typical doctoral dissertation often utilizes one or more of the following research methodology: empirical, analytical, behavioral, and computational.


Year 1

Coursework and research

Year 2

Coursework and research

Year 3

Comprehensive exams and research

Year 4

Dissertation proposal and job market

Year 5

Dissertaton defense 

Some students can complete the program in four years. 

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