Departmental Advisor
ITDS Advisor's Office
Thomas McGinnis
- Room: BA 338K
- Phone: (940) 565-4149
- Email: Thomas.McGinnis@unt.edu
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.
Background Course Requirements (13.5 hours)
The following courses are required for any MS or MBA degree at COBA. These background courses are equivalent to foundation courses of an undergraduate business program and will be waived where appropriate after evaluation of transcripts. Credits are not given for work or life experience. Please visit http://www.coba.unt.edu/programs/masters/ms.php to learn more about its undergraduate equivalency.
Grades of C or better must be earned on all background courses whether taken at the undergraduate or graduate level. Grades of C earned on any 5XXX level courses will affect the graduate grade point average (GPA).
- ACCT 5020
- Accumulation and Analysis of Accounting Data (1.5 hours)
- BCIS 5090
- Introduction to Business Computer Information Systems (1.5 hours)
- BLAW 5050
- Legal, Regulatory, and Ethical Environment of Business (1.5 hours)
- DSCI 5010
- Statistical Analysis (1.5 hours)
- FINA 5040
- Introduction to Finance and Financial Mathematics (1.5 hours)
- MATH 1190
- Business Calculus (3 hours)
- MKTG 5000
- Marketing Concepts (1.5 hours)
- MGMT 5070
- Management Issues (1.5 hours)
- DSCI 5180
- Introduction to Decision Making (3 hours)
- DSCI 5210
- Model-based Decision Making (3 hours)
- DSCI 5240
- Data-based Decision Systems (3 hours)
- DSCI 5260
- Problem Solving and Decision-Making Process (Capstone Course)
- DSCI 5220
- Statistical Sampling (3 hours)
- DSCI 5250
- Statistical Techniques in Simulation (3 hours)
- DSCI 5310
- Reliability and Life-Data Analysis (3 hours)
- DSCI 5320
- Quality Control (3 hours)
Concentration Courses (12 hours)
The following courses are required for the professional field:
Elective Courses (12 Hours)
Application Courses(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 elective courses.
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.
Professional Organizations
Students in Decision Technologies can join the student branch of the American Society for Quality as well as CISO (see ITDS department for information).
