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A&S—Intelligent Systems Program

The Intelligent Systems Program (ISP) is a degree-granting program in the University of Pittsburgh’s School of Arts and Sciences that enables graduate students to pursue diverse interdisciplinary studies in applied artificial intelligence.  The scope of the program is broad, but encourages students to explore concentrations in specific areas, such as medical diagnosis, knowledge representation, machine learning, intelligent tutoring, natural language generation and discourse, planning, case-based reasoning, and problem solving.

Many of Pitt’s acclaimed schools are represented through our associated faculty, including the School of Medicine, the School of Law, the School of Education, the School of Information Sciences, and the Dietrich School of Arts and Sciences.  There are especially strong connections to research groups in the Department of Computer Science, the Department of Biomedical Informatics, the Learning Research and Development Center, the Department of Linguistics, the Swanson School of Engineering, and the Department of Psychology.

The program offers Master of Science and Doctor of Philosophy degrees and an area of concentration in medical informatics.

Contact Information

Co-Directors: Diane Litman and Janyce Wiebe
Main Office: 5113 Sennott Square
412-624-5755
Fax: 412-624-8561
E-mail: paum4b@piit.edu
www.isp.pitt.edu

Admissions Information

 

Financial Assistance

Students in the ISP program are funded through a variety of sources, including externally supported research and training grants, University fellowships, and program funds.

Requirements for the Master’s Degree

Overlapping with ISP requirements of the Dietrich School of Arts and Sciences (A&S). Students should speak with their advisors to make sure they complete both sets of requirements.

Students pursuing the Master of Science degree in ISP must complete a minimum of 24 credits including:

(a) First year students are encouraged, but not required, to take the following: ISSP 2020(fall) and 2030 (spring), INFSCI 3005.
(b) The required courses (ISSP 2160/CS 2710) and two courses from the following: ISSP 2170/CS 2750, ISSP 3712/CS 3740, ISSP 2230/CS 2731
(c) A theory course from both A (BIOINF 2054, BIOST 2018, BIOST 2041, BIOST 2042, STAT 2131, STAT 2132) and B (CS 2110, CS 2150, ISSP 3520/CS 3120)
(d) Four advanced courses numbered 2000 or higher (must be approved by advisor)

(e) GPA of 3.0 or better

(f) MS-level project, approved by the faculty after an oral prospectus presentation, involving significant research, design, or development work and a written report.

 
 

Requirements for the PhD

Students pursuing the Doctor of Philosophy degree in ISP must complete a program of study approved by an advisory committee of faculty. A total of 72 graduate credits are required for this degree. This program must include:

(a) The required courses (ISSP 2020, ISSP 2030, ISSP 2160/CS 2710, INFSCI 3005),
(b) Two courses from the following: ISSP 2170/CS 2750, ISSP 3712/CS 3740, ISSP 2230/CS 2731
(c) A theory course from both A (BIOINF 2054, BIOST 2018, BIOST 2041, BIOST 2042,, STAT 2131, STAT 2132 and B (CS 2110, CS 2150, ISSP 3520/CS 3120),
(d) an additional course from either A or B
(e) four advanced courses numbered 2000 or higher (must be approved by advisor)
(f) GPA of 3.0 or better

(g) Successful defense of a proposal and doctoral dissertation.

 

Medical Informatics Concentration Requirements

The curriculum assumes that a student already has training in a health care field. If this is not so the faculty will select a set of courses that teaches the student basic medical knowledge, and the student may take these courses as electives.

Course Listing

Faculty



 
 

 

 

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