The learning technologies PhD is offered in-residence and as a distance-delivered program with online courses and a once-per-year meeting.

Admission requirements

Admission to doctoral study in learning technologies is competitive. Each prospective student will be subjected to a competitive evaluation by the learning technologies PhD program 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 3.5 (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 3.5 (on a 4.0 scale) over the last 60 hours.
2. A Graduate Record Examination (GRE) score and/or an equivalent examination 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 the field with a grade point average of 3.0 or higher, and
   • A scholarly publication in a peer-reviewed setting.

For international students, the Test of English as a Foreign Language (TOEFL) examination or successful completion of the UNT Intensive English Language Institute (IELI) through level 6 must be on file. 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. A personal resume that includes a summary of teaching, administrative and/or training experience.
4. An application to the program that indicates desired delivery format and indicates a preference of academic faculty.
5. 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.
6. Three letters of recommendation submitted for you. Letters should be from former professors or others, who can evaluate your academic qualifications and from job supervisors who can assess your potential for success in the learning technologies doctoral program.
7. Interview with program faculty, which is not a requirement, but may be requested by the admission committee.
8. Letter of intent submitted by a program faculty member (in-residence offering) or associate graduate faculty member (distributed offering) who would work with the applicant if accepted into the program.