Admission requirements

Admission to doctoral study in learning technologies is competitive. Each prospective student will be subjected to a competitive evaluation by the computer education and cognitive systems (CECS) faculty. Admission to the program is considered only after the applicant meets or exceeds the university and College of Information admission standards. Admission to the Toulouse Graduate School and meeting the program standards does not automatically mean the student will be admitted to the program. The admission process is competitive and depends upon the availability of faculty to mentor doctoral students.

The minimum requirements for admission include the following:

1. A master’s degree from an accredited institution with a grade point average of 3.4 (on a 4.0 scale) or, under some circumstances, a bachelor’s degree with sufficient additional courses required to secure a master’s degree on the way to a PhD. A total grade point average of 3.0 or a grade point average of 3.4 (on a 4.0 scale) over the last 60 hours.
2. Graduate Record Examination (GRE) scores including verbal, quantitative and analytical writing must be on file at the time the application is reviewed or submission of the following materials.
   
   • A scholarly presentation at a professional conference related to learning technologies.
   • Completion of 6 hours of graduate course work in mathematics or statistics with a grade point average of 3.0 or higher.
   • A scholarly publication in a respected, peer-reviewed setting.

International students who have completed the IELI program through level 6 and successfully completed the UNT Graduate Preparation Course (GPC) may submit the GPC in place of GRE scores.

3. For international students, a satisfactory score on the Test of English as a Foreign Language (TOEFL) or successful completion of the UNT Intensive English Language Institute (IELI)  through level 6.
4. A personal resume that includes a summary of teaching, administrative and/or training experience.
5. A letter of intent from the graduate faculty member(s) who would work with the applicant. Applicants should contact program faculty before submitting the letter of intent.
6. Personal statement (500–1,000 words) of career objectives, which may include doctoral research areas of interest; research, professional or community experiences that demonstrate motivation, commitment and potential for doctoral work; accomplishments; communication skills; technology skills; and contribution to the diversity of the field.
7. Three letters of recommendation. One must be from a faculty member currently working at an academic institution. This letter must acknowledge the applicant’s potential to successfully complete the learning technologies doctoral program.
8. Interview with program faculty, which is not a requirement, but may be requested by the admission committee.