Decision Technology
The Master of Science in Decision Technologies is designed to provide an appropriate base of knowledge for entry into the decision sciences profession. The program is intended for those students who desire a strong, specialist degree in operational and strategic decision making. Decision Technologies blends theory and application, using modeling techniques to science, statistics, management science, operations research, and problem solving. Students in this program will study individual and group decision making, expert and decision support systems, and human interaction with technology in all areas of business. Graduates of the program pursue careers in data mining, analytical methods for applications in logistics, and manufacturing or service operations. Because of its specialization and focus, the Master of Science in Decision Technologies differs significantly from an MBA program, which is designed for those students who desire a more general management background.
Career Possibilities with an MBA in Decision Technology:
Business Analyst
Business Managers
Computer Security Specialists
Operations Research Analyst
Statisticians
Survey Researchers
Surveyors
Software Quality Assurance Engineers and Testers
Professional Organizations
Students in Decision Technologies can join the student branch of the American Society for Quality Control as well as CISO (see ITDS department for more information).
Background Courses* (18 hours)
*NOTE: Background courses may be required if your undergraduate degree did not prepare you for current master level courses. Background courses are assessed on an as needed basis after evaluation of ndergraduate transcripts.
| ACCT 5020 (3 hrs.) | Accumulation and Analysis of Acct. Data |
BCIS 5090 (1.5 hrs.) |
Intro. to Business Computer Info. Systems |
| BLAW 5050 (1.5 hrs.) | Legal, Reg. and Ethical Env. of Business |
| DSCI 5010 (1.5 hrs.) | Statistical Analysis |
| ECON 5000 (3 hrs.) | Economic Concepts |
| FINA 5040 (1.5 hrs) | Intro. to Finance and Financial Mathematics |
| MATH 1190 (3 hrs.) | Business Calculus (or other calc. course) |
| MGMT 5070 (1.5 hrs.) | Management Issues |
| MKTG 5000 (1.5 hrs.) | Marketing Concepts |
Required Courses (36 hours)
Foundation Sequence (12 Hours)
| DSCI 5180 (3 hrs.) | Introduction to Decision Making |
| DSCI 5210 (3 hrs.) | Model-Based Decision Making |
| DSCI 5240 (3 hrs.) | Data-Based Decision Support Systems |
| DSCI 5260 (3 hrs.) | Business Process Analytics |
Major Elective Sequence (12 hours)
| DSCI 5250 (3 hrs.) | Statistical Techniques in Simulation |
| DSCI 5240 | Quality Control |
| DSCI 5260 | Enterprise Applications of Business Intelligence |
| DSCI 5320 | Predictive Modeling and Business Forecasting |
Application (12 hours)
Twelve hours of electives must be selected from Business, Computer Science, or Engineering Technology that are technically oriented, complementary to the program, and approved by the department as electives.
Students who have already taken the equivalent of any foundation course will substitute an appropriate course, subject to ITDS departmental
approval.
Internship
You may complete an internship for three hours of pass/no pass credit, upon completion of three hours in your area of study. Your internship will not count towards your degree and may not be taken your first semester. Please see your departmental advisor for more information.
