Overview

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

Degrees & Awards

Degrees Offered

Degree	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

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

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

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