Management Sciences

Program Requirements

Core courses develop research competence and provide the background for specialized study. Doctoral candidates consult with their advisors to develop a plan of study that reflects their background and interests and satisfied the core requirements.

A minimum of 72 semester hours of credit is required for the Ph.D. degree.

Interdepartmental Core Requirements (6 hours)

Two Ph.D. courses from other College of Business departments (6 hours)

Departmental Core Requirements (9 hours)

  • MSCI:7900(6K:299) Special Topics in Management Sciences: Supply Chain Management
Management Information Systems

Choose one of the following:

  • MSCI:6200 (6K:272) Advanced Database Analysis
  • MSCI:6421 (6K:275) Knowledge Discovery
  • MSCI:6800 (6K:278) Web Mining
Quantitative Methods
  • MSCI:6600 (6K:286) Linear Programming

Other courses may be substituted with departmental approval.

Research Methodology (12 hours)

  • STAT:3100 (22S:130) or STAT:4100 (22S:153) Mathematical Statistics I
  • STAT:3101 (22S:131) or STAT:4101 (22S:154) Mathematical Statistics II

Choose two of the following:

  • ECON:5100 (6E:203) Microeconomics I
  • MSCI:6700 (6K:287) Discrete Optimization
  • MATH:4820 (22M:174) Optimization Techniques
  • STAT:6300 (22S:195) Probability and Stochastic Processes I
  • STAT:6301 (22S:196) Probability and Stochastic Processes II
  • STAT:3210 (22S:158) Experimental Design & Analysis
  • STAT:6540 (22S:161) Applied Multivariate Analysis
  • CS:5350 (22C:231) Design & Analysis of Algorithms

Other applied mathematics or computing courses may be substituted with departmental approval.


Major Area of Study (12 hours)

Note: A course taken as part of the departmental core or research methodology cannot be counted in the major area of study.

Major Area Course
Information Systems MSCI:6421 (6K:275) Knowledge Discovery
MSCI:6800 (6K:278) Web Mining
Operations Management MSCI:6700 (6K:287) Discrete Optimization
MSCI:7000 (6K:277) Heuristic Search
22S:195 Applied Stochastic Processes
MSCI:7000 (6K:277) Dynamic Programming
Quantitative Methods MSCI:6700 (6K:287) Discrete Optimization
MSCI:7000 (6K:277) Heuristic Search
MSCI:7000 (6K:277) Dynamic Programming
IE:6750 (56:274) Stochastic Optimization
56:271 Nonlinear Programming

Suggested Electives for Majors

Major Area Course
Information Systems MCSI:6700 (6K:287) Discrete Optimization
MSCI:7000 (6K:277) Heuristic Search
CS:5350 (22C:231) Design and Analysis of Algorithms
STAT:4520 (22S:138) Bayesian Statistics
STAT:4510 (22S:150) Regression, Time Series, and Forecasting
STAT:3200 (22S:152) Applied Linear Regression
STAT:6560 (22S:156) Applied Time Series Analysis
CS:4420 (22C:145) Artificial Intelligence
Operations Management CS:5350 (22C:231) Design and Analysis of Algorithms
MATH:4820 (22M:174) Optimization Techniques
MATH:4010 (22M:105) Basic Analysis
STAT:4510 (22S:150) Regression, Time Series, and Forecasting
IE:3610 (56:166) Stochastic Models
IE:3700 (56:171) Operations Research
56:276 Game Theory
56:274 Stochastic Optimization
IE:3750 (56:178) Digital Systems Simulation
56:271 Nonlinear Programming
Quantitative Methods CS:5350 (22C:231) Design and Analysis of Algorithms
CS:4700 (22C:177) High Performance and Parallel Computing
MATH:4820 (22M:174) Optimization Techniques
MATH:4010 (22M:105) Basic Analysis
MATH:5800 (22M:170) Numerical Analysis
MATH:4050 (22M:150) Introduction to Discrete Mathematics
MATH:4060 (22M:151) Discrete Mathematical Models
22M:140 Continuous Mathematical Models
ECE:5330 (55:133) Graph Algorithms & Combinatorial Optimization
IE:6780 (56:277) Financial Engineering & Optimization

Other courses may be added or substituted with departmental approval.

Minor Area of Study (12 hours)

Major and minor areas combined must total at least 24 hours. Minor areas outside of the department or even outside of the College of Business Administration are often appropriate. Examples of such areas are: Finance, Computer Science, Statistics, and Industrial Engineering. Minor courses from MIS, OM or QM can be selected from the major and elective courses listed above.

Thesis and Elective Hours

In order to fulfill the 72-hour requirement for the PhD degree, students must complete another 21 hours of coursework. Up to 15 of these may be thesis hours MSCI:7975(6K:290). Appropriate elective courses (including approved transfer credits) can also be used, subject to departmental approval.

Preliminary Ph.D. Exam: Fall, 2nd year

The preliminary PhD exam is an oral examination on a research topic selected by the student with faculty assistance, and that the student studies during the summer of the first year. An examination committee of three management sciences faculty (selected by the student and his/her advisor) will conduct the examination. Specific requirements may be set by the student's committee; however, the exam typically requires two components: 1) A written report detailing a literature review and research work completed by the student, and 2) an oral presentation of this work. The committee will use the outcome of the oral examination and course grades earned during the first year to evaluate the student. This exam must be taken by the fall semester of the second year. Students failing the examination must retake it no later than the end of the spring semester of the second year.

Major Concentration Qualifying Exam: Fall, 3rd year

A written qualifying examination will be given in the fall of the 3rd year. The student, in consultation with his/her advisor, chooses four courses over which to be tested. These should come from the list of major courses but may also be core courses or electives as approved by the advisor. Part 1 of the exam is a 4-hour, closed-book exam containing one question from each of the four courses. Part 2 is a 4-hour, closed-book exam with a single, more advanced question from each course. Each question will be graded by the respective instructor on the following scale: High Pass, Pass, Marginal Pass, Marginal Fail, Fail. The Graduate Committee will then combine these grades and assign the student a grade on the exam. A grade of Conditional Pass on the exam is possible and may require specific conditions of the student, including (re-)taking of a course, re-taking of one (or more) parts of the exam, etc.

Proposal Defense / Comprehensive Exam: Spring, 3rd year - Fall, 4th year

The student must prepare a written dissertation proposal and defend it in an oral examination. This exam serves the role of the "Comprehensive Examination" as described in the Manual of Rules and Regulations of the Graduate College. It is suggested that the committee of five faculty members for this examination consist of those most appropriate for supervising the dissertation and for administering the final oral dissertation defense examination. All required coursework must be completed before the student can take the proposal defense / comprehensive exam.

Final Dissertation Defense: Spring, 4th year - Spring, 5th year

The dissertation should be defended in the spring of the 4th or 5th year. The dissertation must describe original research performed by the PhD candidate. A committee of at least five faculty members is proposed by the student and his/her advisor, and approved by the department. The committee must have a majority of members from the Department of Management Sciences and must have at least one member from outside the College of Business.