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Information Technology and Decision Sciences

Master’s and Doctoral Programs


Graduate opportunities

Pursuing a graduate degree at the University of North Texas equips you with the strong management and technical skills needed to address global changes in the design, development and management of information systems.

The Department of Information Technology and Decision Sciences offers course work leading to a:

  • Master of Business Administration degree with a concentration in Information Technology or Decision Sciences
  • Master of Science degree in Business Analytics
  • Doctor of Philosophy degree in Business with concentrations in Business Computer Information Systems, Business Information Assurance or Management Science

Gain new perspectives

We work closely with world business leaders in the Dallas-Fort Worth region to maintain and improve our degree programs. You’ll also learn from faculty members who are strong teachers and accomplished researchers. They’ve conducted research on:

  • Business intelligence/business analytics
  • Cyber security
  • Enterprise resource planning systems
  • Evaluation of psychometric factors in system design
  • Quality control
  • Statistical measurement

Our campus reflects the university’s commitment to developing future business leaders. The Business Leadership Building — which has Gold-level Leadership in Energy and Environmental Design certification for sustainability — contains 24 classrooms of various sizes and offices for faculty, staff and doctoral students. Interior and exterior spaces enhance student learning and include a café, tutor rooms, team study rooms, a state-of-the-art general access computer lab and outdoor terraces.

The College of Business, which is one of the nation’s largest business schools, is accredited by AACSB International — The Association to Advance Collegiate Schools of Business (777 South Harbour Island Blvd., Suite 750; Tampa, Fla. 33602; telephone 813-769-6500). This distinction means we meet or exceed strict academic standards for excellence in education.

Outstanding facilities and student support

Our extensive computer facilities include state-of-the- art hardware and software to serve the instruction and research needs of students and faculty members. Computer facilities in the Business Leadership Building are used exclusively by business students.

Twelve other general access computer labs around campus are staffed by student lab attendants and supported by a student technical support team, full-time lab manager, computer support specialist and network and systems manager.

The electronic business library provides extensive access to online databases nationwide and to a variety of CD-ROM products.

The university offers a number of other resources only to graduate students. The Graduate Student Writing Support office can help you with writing, and the Center for Interdisciplinary Research offers assistance with statistical research.

The Toulouse Graduate School offers a wide variety of professional development workshops each semester, including a Dissertation Boot Camp. Many of the workshops are available online for your convenience.

Attending UNT

Admission requirements

Master’s programs

You must meet the admission requirements of the graduate school and the following program requirements:

  • Satisfactory GMAT scores (No minimum score is required.)
  • 600- to 700-word essay about events, experiences and qualifications that distinguish your candidacy
  • Résumé with education and work experience
  • Two professional letters of recommendation

For graduate school requirements and possible exceptions, visit the graduate school website. International applicants should contact the international admissions office at 940-565-2442 or through email for assistance.

You may start classes as a non-degree seeking student while completing necessary requirements for full admission.

Doctoral program

You must meet the admission requirements of the graduate school and the following program requirements:

  • Three Doctoral Applicant Evaluation Forms or letters of recommendation from college professors or professional colleagues familiar with your academic record
  • Essay stating your reasons for pursuing doctoral study, personal objectives and career plans
  • Résumé or curriculum vitae

Satisfying these criteria doesn’t guarantee admission to the doctoral program. All documents undergo a stringent review process. The Director of Ph.D. Programs and Research will notify you upon acceptance.

For graduate school requirements and possible exceptions, visit the graduate school website.

Degree requirements

M.B.A. in Information Technology or Decision Sciences
  • 18 credit hours of background courses (may be waived based on undergraduate business courses)
  • 18 credit hours of M.B.A. courses
  • 18 credit hours of concentration courses
M.S. in Business Analytics
  • 15 credit hours of background courses (may be waived based on undergraduate business courses)
  • 15 credit hours of foundation courses
  • 21 credit hours of electives

Master’s students are required to maintain at least a 3.0 GPA on all course work and meet minimum academic standards. For more information, contact the department advisor or visit the Information Technology and Decision Sciences website.

Ph.D. in Business Computer Information Systems, Business Information Assurance or Management Science
  • 12 to 18 credit hours of research courses
  • 27 to 33 credit hours of concentration courses
  • 12 credit hours of pre-dissertation research courses
  • 12 credit hours of dissertation courses

Financial assistance

Financial assistance is available to help you pursue your graduate degree. Scholarships are offered by the department, college and university.

Full- and part-time M.B.A. students may also be eligible for federal financial assistance. Information about these options is at the financial aid website.

Teaching assistantships funded by the department and research assistantships funded by individual faculty research grants may be available. For applications and information on availability, contact the Department of Information Technology and Decision Sciences at 940-565-3111 or through email.