Introduction
The Master's program in Management Science is designed as preparation for a career in the application of quantitative techniques to solve complex problems in business and industry. The program's flexibility also makes it appropriate as preparation for doctoral study in Management Science.
Management Science coursework will expose students to both the theoretical development of quantitative techniques and their application to managerial decision making. In addition to the development of sufficient mathematical maturity for creative use of quantitative skills, the program offers concentrated study in any one of the following areas: 1)
Production and Operations/Manufacturing Management;
2) Statistics; 3) Geographic Information Systems (GIS);
4) Health Care.
The master's program in Management Science is an innovative curriculum of tremendous breadth. It is designed to not only expose students to quantitative techniques, but to cultivate skills in writing, communication and business as well. When combined with the concentration area of choice, career opportunities are endless.
The University and the College of Business Administration have rich ties to industries throughout the
world. Through such ties, students may elect to gain true exposure to real-world industrial problems by concentrating in
Production and Operations/Manufacturing Management or Statistics.
A student may also choose to concentrate in GIS and gain
invaluable hands on experience in the program's state-of-the-art
Computation and Operations Analysis Laboratory.
In addition, the Management Science Program has a number of faculty involved in health care research, working to develop optimization models to reduce rising health care costs. Thus, the Master's program offers a unique opportunity for the master's student in management science to apply quantitative analytical techniques in the health care industry through the concentration in Health Care.
A student's experience culminates in the completion of a real-world Management Science project as Management Science 534. The student takes a real-world problem from the investigation to the implementation phase and presents his/her work in both written and oral form.
Admission Requirements
The master's program requires three applicant rating forms and the GRE or
GMAT, the Applicant Information Sheet, your personal statement and your résumé . Applications are encouraged from all majors, but a mathematics background or equivalent, such as the completion of at least two years of college calculus and proficiency in a computer language is required. The program is designed to be completed in four semesters by full-time students. However, students may start the program in any semester and may pursue a Master degree in Management Science on a part-time basis.
The Management Science Committee will work closely with the student in tailoring a program to his/her needs. The committee must approve a tentative overall program during the student's first semester and must approve all courses on a semester-by-semester basis.
An entering student must demonstrate mastery of at least one computer language along with an understanding of data structures through previous coursework or equivalent work experience. Otherwise, to satisfy this requirement, the student must enroll in and complete (earning a grade of C or better) one or both of the 100-level courses listed below as stipulated by the Management Science Committee.
| Introduction to (CS 102) |
Not for credit |
| Data Structures (CS 140) |
Not for credit |
Recognizing the diverse backgrounds and needs of Management Science Master students, the Management Science Committee is prepared to waive some of the above requirements on an individual basis.
Degree Requirements
1. Technical Ability
| Introduction to Mathematical Statistics (Stat 563)
|
3 hours |
| Mathematical Programming (MS 531) |
3 hours |
| Stochastic Models in Management Science (MS 532)
|
3 hours |
| Computational Mathematical Programming (MS 533)
|
3 hours |
Students must pass a written comprehensive examination for Management Science 531-532. A thesis option is available to qualified students.
2. "Understanding the Business"
| Management Science Methods
in Business (MS 534) |
3 hours |
| Leveraging Information
Through Descriptive and Prescriptive Modeling (MS 551) |
3 hours |
| Operations Management (OMS
541) |
3 hours |
3. Applied Statistics Course: One 3 hour course
chosen from
| Statistical Techniques in Industrial
Processes (Stat 566) |
3 hours |
| Statistical Methods (Stat 571) |
3 hours |
| Applied Regression Analysis (Stat 572) |
3 hours |
| Design of Experiments (Stat 573) |
3 hours |
| Data Mining Methods and Applications
(Stat 574) |
3 hours |
| Applied Time Series (Stat 575) |
3 hours |
4. Information Systems Elective: One 3
hour course chosen from
| Information Systems Analysis
and Design (IE 421) |
3 hours |
| Advanced
Information Systems Analysis and Design (IE 514) |
3 hours |
| Advanced Development of
Information Systems (IE 554) |
3 hours |
5. Free Elective as approved by advisor
Students must choose 3 hours.
6. Concentration Electives
Students must choose at least 6 hours from the following list of concentration electives.
Geographic Information Systems (GIS)
| Computer Mapping & Geographic Information Systems (Geo 411)
|
| Topics in Quantitative Geography (Geo 515)
|
| Geographic Information Management and Processing (Geo 517)
|
| Topics in the Geography of Transportation (Geo 549)
|
| or approved course |
Statistics
| Theory of Statistical Inference (Stat 564)
|
| Statistical Techniques in Industrial Processes (Stat 566)
|
| Statistical Methods (Stat 571) |
| Applied Regression Analysis (Stat 572) |
| Design of Experiments (Stat 573) |
| or approved course |
Production and Operations/Manufacturing Management
| Managing Change &
Improvement in Technical Organization (Eng Mgt 541)
|
| Advanced Engineering Economy (IE 518)
|
| Advanced Application of Systems Modeling and Simulation (MS 526)
|
| or approved course |
Health Care
| Public Health Policy and Administration (PH 520)
|
| Organization Theory and Health Care Delivery (PH 521)
|
| Financial Management of Health Programs (PH 525)
|
| Theories and Techniques in Health Planning (PH 560)
|
| or approved course |
A suggested course of study
| Fall - Year 1 |
|
Spring - Year 1 |
|
| Course |
Hours |
Course |
Hours |
| Stat 563 |
3 |
Mgt Sci 532 |
3 |
| Mgt Sci 531 |
3 |
Mgt Sci 533 |
3 |
| Information Systems Elective |
3 |
Applied Statistics Course |
3 |
| Summer - Year 1 |
|
|
|
| Mgt Sci 534 |
3 |
|
|
| Fall - Year 2 |
|
Spring - Year 2 |
|
| OMS 541 |
3 |
Concentration. Elective |
3 |
| Concentration. Elective |
3 |
Free Elective |
3 |
| Mgt Sci 551 |
3 |
|
|
|