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Master of Science in Intelligent Systems

The Intelligent Systems Program is a multidisciplinary graduate program at the University of Pittsburgh dedicated to applied artificial intelligence (AI).

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 Swanson School of Engineering, and the Kenneth P. Dietrich School of Arts and Sciences.

What Do We Offer?

  • Broadly interdisciplinary approach: We offer a strong, well-balanced foundation in the fundamentals of AI and many opportunities for advanced research and training in many disciplines, including computer science, biomedical informatics, cognitive psychology, information science, education, law, and more.
  • Focused, customized curricula: Building on the core curriculum, you will design your own personalized curricula that will prepare you for interdisciplinary research in your areas of interest.
  • Collaborative atmosphere: Faculty members and students present their research in regular program seminars, which exposes you to a broad range of research topics and methods, affording you the opportunity to present your own research.
  • Highly motivated faculty: Pitt’s widely published ISP faculty are leaders in their fields. Drawing on the strengths of diverse sectors of the university, and participating in over thirty funded research projects, they support graduate students through collaborative research, personal mentoring, and external research funding.

Degree Requirements

Students pursuing the Master of Science degree in Intelligent Systems must adhere to the SCI requirements for graduation and complete a minimum of 30 credits as outlined below, as well as a MS Project.

General Intelligent Systems Track Curriculum:

First-year students are encouraged but not required to take:

  • ISSP 2020 – TOPICS IN INTELLIGENT SYSTEMS
  • INFSCI 3005 – INTRODUCTION TO THE DOCTORAL PROGRAM
  • ISSP 2030 – ADVANCED TOPICS IN INTELLGENT SYSTEMS

Core

  • ISSP 2160 – FOUNDTNS OF ARTIFICIAL INTELLGNC

AND Choose Two of the Following:

  • ISSP 2170 – MACHINE LEARNING / CS 2750 – MACHINE LEARNING
  • ISSP 2230 – INTRO NATURAL LANGUAGE PROCSSNG / CS 2731 – INTRO NATURAL LANGUAGE PROCSSNG
  • I ISSP 2180 – COMPUTER VISION / CS 2770 – COMPUTER VISION

Theory

Applied or mathematical statistics.  Choose one of the following:

  • BIOST 2041 – INTRODUCTION TO STATISTICAL METHODS 1
  • BIOST 2042 – INTRODUCTION TO STATISTICAL METHODS 2
  • BIOINF 2131 – PRACTICUM IN ADV BIOMEDICAL IT
  • STAT 2131 – APPLIED STATISTICAL METHODS 1
  • STAT 2132 – APPLIED STATISTICAL METHODS 2

Theory of computation, algorithms. Choose one of the following:

  • CS 2110 – THEORY OF COMPUTATION
  • CS 2150 – DESIGN & ANALYSIS OF ALGORITHMS

One additional course required. Any of the theory courses listed above are acceptable.

Advanced courses

Four ISSP advanced lecture courses, numbered 2000 or higher and approved by the PhD adviser.

MS Project

For this requirement, you must complete a research project, approved by your preliminary evaluation committee, involving (1) significant research, design, or development work, (2) a written report, and (3) an oral presentation. You must form a MS project committee (MS) or a preliminary evaluation committee (PhD) consisting of three faculty members, two of whom must be ISP faculty. Your adviser chairs the committee, and must be an ISP faculty member.


Admissions Information

Letters of Recommendation

Identify and seek the recommendations of three individuals (e.g., professors, employers, information professionals) who are in a position to evaluate your academic performance or your potential as an information professional.

Transcripts

Only scanned copies of official transcripts will be accepted and processed at the application stage.

Graduate Record Examination (GRE)

You are required to submit a recent score (within five years of the date of application) on the Graduate Record Examination as part of your admission credentials. Scores on all three sections (verbal, quantitative, and analytical) of the General Section should be submitted.

Other Required Documentation

Please include the following with your online application:

  • Resume; and
  • Statement of Intent of no more than 500 words outlining your career goals

Your resume and Statement of Intent should reflect and highlight relevant work experience.

For International Applicants

Graduate students must possess sufficient knowledge of English to participate successfully in graduate study. International applicants must submit either the TOEFL or the IELTS (taken within two years of the date of application). A minimum score of 90 (at least a score of 22 in each section) on the TOEFL or a minimum result of Band 7.0 (with at least a 6.5 in each section) on the IELTS is required.


Tuition and Fees

Tuition rates and fees for the upcoming academic year can be found on the University’s Institutional Research Web site.