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Duquesne University

Program in Instructional Technology

Pittsburgh, PA

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Overview

Duquesne University / Program in Instructional Technology is located in Pittsburgh, PA, in an urban setting.

Degrees & Awards

Degrees Offered

Degree Concentration Sub-concentration
(Post-Master's Certificate)
Doctor of Education (Ed D)
Master of Science in Education (MS Ed)

Degrees Awarded

Degree Number Awarded
Master's Degrees 8
Doctoral Degrees 7

Earning Your Degree

Part-time study available? Yes
Evening/weekend programs available? Yes
Distance learning programs available? Yes
Terminal master's degree available? No

Admissions

Acceptance Rate

39
Applied
29
Accepted
15
Enrolled
74%

Applying

0
Application Fee - Domestic
Yes
Electronic
applications accepted?
Yes
Applications processed
on a rolling basis?

Application Deadlines

Type Domestic International Priority date
Fall deadline September 1st Not reported No
Spring deadline January 2nd Not reported No

Entrance Requirements

Exam Details
Master's Degree Requirements Bachelor's degree; minimum GPA of 3.0 overall or on most recent 48 credits
Doctoral Degree Exam GRE
Doctoral Degree Requirements Master's degree; letter of interest; three letters of recommendation; electronic portfolio
Additional Entrance Requirements Bachelor's/master's degree

International Students

Exam Details
TOEFL: Required TOEFL Paper score: 550
IELTS: Required IELTS Paper score: 7

Tuition & Fees

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Financial Support

Financial award applicants must submit: FAFSA
Types of financial support available Teaching Assistantships

Student Body

67
Total Graduate Students
14%
International Breakout (representing other countries)

Race/Ethnicity

Hispanic/Latino 1.49%
Black or African American 2.99%
White or Caucasian 74%
American Indian or Alaska Native 0%
Asian 5.97%
Native Hawaiian or Pacific Islander 0%
Two or more races 0%
Unknown 0%

Gender

Male (26%)
Female (73%)

Faculty

3
Total faculty
Full-time - 3
Part-time - 0
Male (2)
Female (1)

Research

Focus of faculty research: Instructional technology in STEM; computational thinking; drag and drop programming; the advantages of individuals' processing speeds in different learning settings; different cognitive styles of problem solving
Externally sponsored research expenditures last year: 0

Location & Contact

Address 600 Forbes Avenue
Pittsburgh, PA  15282-0001
United States
Contact Dr. David Carbonara
Assistant Professor/Director
Email: carbonara@duq.edu
Phone: 412-396-4039
Fax: 412-396-1997

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Duquesne University
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