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University of Pennsylvania

Department of Computer and Information Science

Philadelphia, PA

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273

Students

Urban

Setting

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Overview

University of Pennsylvania / Department of Computer and Information Science is located in Philadelphia, PA, in an urban setting.

Degrees & Awards

Degrees Offered

Degree	Concentration	Sub-concentration
Master of Science in Engineering (MSE)	Computer graphics and game technology
Master of Computer and Information Technology (MCIT)	Computer and information technology
Doctor of Philosophy (PhD)	Computer and information science
Master of Science in Engineering (MSE)	Computer and information science

Degrees Awarded

Degree	Number Awarded
Master's Degrees	87
Doctoral Degrees	18
Other Advanced Degrees	0

Earning Your Degree

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

Degree Requirements

Degree	Requirement
Master's Degrees	Entrance Exam GRE Comp Exam Required Thesis Optional
Doctoral Degrees	Entrance Exam GRE Comp Exam Required Thesis Required

Admissions

Acceptance Rate

2,124

Applied

258

Accepted

103

Enrolled

Applying

Application Fee - Domestic

Yes

Electronic
applications accepted?

Application Deadlines

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

Entrance Requirements

Exam	Details
Master's Degree Exam	GRE
Master's Degree Requirements	Bachelor's degree, letters of recommendation, resume, personal statement
Doctoral Degree Exam	GRE
Doctoral Degree Requirements	Bachelor's degree, letters of recommendation, resume, personal statement

International Students

Exam	Details
TOEFL: Required	TOEFL IBT score: 100
IELTS: Required	IELTS Paper score: 7

Student Body

273

Total Graduate Students

63%

International Breakout (representing other countries)

Race/Ethnicity

Hispanic/Latino	0.73%
Black or African American	2.2%
White or Caucasian	22%
American Indian or Alaska Native	0%
Asian	9.89%
Native Hawaiian or Pacific Islander	0%
Two or more races	0.37%
Unknown	1.1%

Gender

Male (76%)

Female (23%)

Faculty

Total faculty

Full-time - 61

Part-time - 9

Male (61)

Female (9)

Research

Focus of faculty research:	Artificial intelligence, bioinformatics and computational biology, embedded and real-time systems, machine learning, security and information assurance
Externally sponsored research expenditures last year:	0