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University of Pittsburgh

Intelligent Systems Program

Pittsburgh, PA

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Overview

Intelligent Systems Program / Intelligent Systems Program is located in Pittsburgh, PA, in an urban setting.

Degrees & Awards

Degrees Offered

Degree Concentration Sub-concentration
Master of Science (MS) Intelligent systems
Doctor of Philosophy (PhD) Intelligent systems

Degrees Awarded

Degree Number Awarded
Master's Degrees 2
Doctoral Degrees 3

Earning Your Degree

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

Degree Requirements

Degree Requirement
Master's Degrees Entrance Exam GRE
Must complete a minimum of 30 credits as well as an MS Project. Must earn a grade of B- or better in each of the courses in the appropriate ISP curriculum and maintain a QPA of at least 3.0.
Doctoral Degrees Entrance Exam GRE
Comp Exam Required
Thesis Required
Must complete a minimum of 72 credits. Must earn a grade of B- or better in each of the courses and maintain a QPA of at least 3.0.

Admissions

Acceptance Rate

88
Applied
11
Accepted
1
Enrolled
13%

Applying

50
Application Fee - Domestic
Yes
Electronic
applications accepted?

Application Deadlines

Type Domestic International Priority date
Fall deadline January 15th January 15th Yes

Entrance Requirements

Exam Details
Master's Degree Exam GRE
Master's Degree Requirements BS degree, background in relevant tools and applications, particularly programming languages. Relevant practical experience.
Doctoral Degree Exam GRE

International Students

Exam Details
TOEFL: Required TOEFL IBT score: 90
IELTS: Required IELTS Paper score: 7

Tuition & Fees

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Financial Support

Financial award applicants must submit: FAFSA
Application deadlines for financial awards January 15
Types of financial support available Fellowships
Research Assistantships
Health Care Benefits
Scholarship and/or loans
Graduate Assistantships

Student Body

25
Total Graduate Students
40%
International Breakout (representing other countries)

Race/Ethnicity

Hispanic/Latino 0%
Black or African American 0%
White or Caucasian 16%
American Indian or Alaska Native 0%
Asian 32%
Native Hawaiian or Pacific Islander 0%
Two or more races 12%
Unknown 0%

Gender

Male (64%)
Female (36%)

Faculty

37
Total faculty
Full-time - 37
Part-time - 0
Male (25)
Female (12)

Research

Focus of faculty research: NLP & Information Retrieval, Educational Technology, Machine Learning, Biomedical informatics, Computer Vision
Externally sponsored research expenditures last year:
639,451

Location & Contact

Address 6129 Sennott Square
Pittsburgh, PA  15260
United States
Contact Dr. Vanathi Gopalakrishnan
Chair and Associate Professor
Email: vanathi@pitt.edu
Phone: 412-6243290

University of Pittsburgh
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