Master of Science in Decision Technologies

| Introduction | Admission Requirements | Degree Requirements | Background Requirements | Program Requirements |

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 structure management problems and decisions.  It combines information technology, computer science, statistics, management science, operational research, and problem solving. Decision technology studies individual and group decision making, expert and decision support systems and human interaction with technology in all area of business.  Because of its specialization and focus, the Master of Science with a major in Decision Technologies differs significantly from an MBA program, which is designed for those students who desire a more general management background.    

TOP

Admission Requirements

In the determination of an applicants eligibility for admission to the School of Graduate Studies for the MS in Decision Technologies, the following measures are of critical importance:

  1. Overall undergraduate grade point average (GPA) and GPA on approximately the last 60 semester hours.  (The academic record must meet minimum requirements of the Toulouse School of Graduate Studies.)

  2. A satisfactory score on the Graduate Management Admission Test (GMAT) or Graduate Record Examination (GRE). Scores more than 10 years old at the time of application for admission will not be considered.  In addition to the College of Business Administration requirements, the Department of Business Computer Information System (BCIS) requires a minimum of the 60th percentile on the quantitative portions of the GMAT or GRE for admission into the MS in Decision Technologies.  

  3. A score of 550 on the Test of English as a Foreign Language for students whose native language is not English.

TOP

Degree Requirements

The student earning the MS in Decision Technologies must meet the following requirements:

  • Completion of leveling courses in BCIS and business as necessary;

  • Completion of at least 36 semester hours of graduate work beyond leveling courses assigned by the department;

  • a GPA of at least a 3.0 on all graduate work taken at UNT;

  • a GPA of at least a 3.0 on all BCIS courses taken at UNT after admission to graduate school;

  • a GPA of at least a 3.0 on all courses taken for graduate credit; and

  • Minimum academic standards for master's students.

TOP

Background Requirements

A bachelors degree from an accredited instruction and admission to the Toulouse School of Graduate Studies of the university are needed for graduate standing.  The Master Science in Decision Technologies degree requires, the equivalent of MATH 1190 and the following business courses:

  • 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)
  • MGMT 5070 Management Issues (1.5 hours)
  • MKTG 5000 Marketing Concepts (1.5 hours)
  • MSCI 5010 Statistical Analysis (1.5 hours)

Students may have acquired this background in their undergraduate programs by the completion of courses equivalent in content to UNTs business foundation requirements for the bachelors degree in business administration.  In addition students are required to have a working knowledge of computer based business tools and at least one course in a programming language (C, C++, Java, PASCAL, FORTRAN, COBOL or a similar language).

TOP

Program Requirements

    Foundation Sequence (12 hours)
                    MSCI 5180 Introduction to Decision Making
                    MSCI 5210 Model-based Decision Making
                    MSCI 5240 Data-Based Decision Systems
                    MSCI 5260 Problem Solving and Decision-Making Process (Capstone Course)

    Major Elective Sequence (12 hours)
                    MSCI 5220 Statistical Sampling
                    MSCI 5250 Statistical Techniques in Simulation
                    MSIC 5310 Reliability and Life-Data Analysis
                    MSCI 5320 Quality Control

    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 elective courses. The following course combinations are pre-approved application tracks for this Masters degree:

- Information Technology: 
BCIS 5120 Information Systems Development, 
BCIS 5420 Foundations of Database Management Systems, and 
BCIS 5660 Data Administration and Project Management

- Logistics:
MKTG 5250 Marketing Engineering, Decision Frameworks, and Information Tools for Strategic Marketing Decisions, 
MKTG 5300 Supply Chain Management, and 
MKTG 5560 Strategic Logistics Management

- Operations Management:
MGMT 5240 Project Management, 
MGMT 5280 Analysis and Design of Operations Systems, and 
MGMT 5850 Materials Management

Students who have already taken the equivalent of any foundation course will substitute an appropriate course, subject to BCIS Department approval.

Master of Science in Decision Technologies Path Map

TOP