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Applicants for graduate study must have earned a baccalaureate degree from an accredited college or university with a scholastic average of B (3.0 on a 4.0 scale) or better.
The scholastic average of the final 50 percent of a student's undergraduate course work, as well as of graduate courses that may have been taken, shall be examined in determining achievement of this requirement. Students unable to meet the QPA requirement may use Graduate Record Examination scores as evidence of ability to do graduate-level work in seeking a waiver of the requirement.
The Graduate Information Science and Technology Program seeks students with diverse interests and abilities. An undergraduate computer science major is not a prerequisite. Although many successful students have entered the program with a background in mathematics, engineering, or computer science, many other outstanding students entered with undergraduate degrees in business, music, history, philosophy, or chemistry.
Affirmative Action and Nondiscrimination Policy
The University of Pittsburgh, as an educational institution and as an employer, values equality of opportunity, human dignity, and racial/ethnic and cultural diversity. Accordingly, the University prohibits and will not engage in discrimination or harassment on the basis of race, color, religion, national origin, ancestry, sex, age, marital status, familial status, sexual orientation, gender identity or expression, disability, or status as a disabled veteran or a veteran of the Vietnam era. Further, the University will continue to take affirmative steps to support and advance these values consistent with the University's mission. For the complete policy, click here.
Prerequisites for admission to the Master of Science in Information Science (MSIS) degree program include one three-credit college course in each of the following:
- A structured programming language
A course on structured programming using Java, C# or C++ is required. Either INFSCI 0017 Object-Oriented Programming 1 for Information Science, CS 0401: Intermediate Programming Using Java is recommended to meet this requirement.
A course covering data collection, descriptive and inferential statistics is optimal. It should cover measures of central tendency and variability, regression, correlation, non-parametric analysis, probability and sampling, Bayesian analysis, significance tests, and hypothesis testing. Either STATS 0200: Basic Applied Statistics, or STATS 1000: Applied Statistical Methods is recommended to meet this requirement.
A college-level mathematics course, in discrete mathematics or calculus, is required. Any of the following Pitt courses will meet the requirement: MATH 0120: Business Calculus, MATH 0220: Analytic Geometry and Calculus 1, or MATH 0400: Discrete Mathematical Structures.
Students who lack some of the prerequisite courses may be admitted provisionally pending completion of the prerequisites during the first 12 credits of study. Any coursework that the student is asked to meet as a condition of their admission must be completed with a grade of B or better.
Credits for prerequisite courses are not counted toward completion of requirements for the master's or PhD degree.
Transfer Of Credits
A maximum of six graduate credits earned with a grade of B or better may be transferred toward either the master's or PhD degree from institutions fully accredited for graduate study, provided:
- these credits have not been applied to any other degree or certificate;
- they are applicable to the study of information science or telecommunications;
- they are not older than the statute of limitations for the degree.
Credit By Examination
No credit by examination will be granted toward the master's degree, nor credit for work completed in extension courses or in off-campus centers of another institution unless those credit are approved for graduate degrees at that institution.
Letters of Recommendation
Identify and seek the recommendations of two individuals (e.g., professors, employers, information professionals) who are in a position to evaluate your academic performance or your potential as an information professional. Before you submit your application, ask your references in which form they wish to submit their recommendation, by paper or electronically. For both paper and electronic submission of recommendation letters, please follow the instructions outlined on Apply Yourself.
Only official transcripts will be accepted. Official transcripts for undergraduate and graduate work must be sent directly to the Admissions Coordinator by the issuing institution, following the instructions on Apply Yourself. If your transcript is recorded in a former name, please email firstname.lastname@example.org with both your current and former names so that the processing of your application is not delayed.
Transcript evaluation for international applicants is described here.
Graduate Record Examination (GRE)
All Master of Science in Information Science (MSIS) applicants are required to submit a recent score (within five years of the date of application) on the Graduate Record Examination as part of their admission credentials. Scores on all three sections (verbal, quantitative, and analytical) of the General Section should be submitted. While submission of the GRE scores are preferred, a recent and strong performance on the GMAT will be accepted in lieu of taking the GRE exam. The University code for the GRE is 2927. The Program code is 0404.
Applicants please note that you can not add the numerical code 0404 by itself. Please type “Information Sciences” in the required field and the system will auto populate your choices, one of which is Information Sciences/Studies 0404.
Please include the following in 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.
There are different documentation and admission requirements for international students. These are explained here.
The application fee is $50 for all applicants and must be paid when you submit your application. The fee will not be waived, deferred, or refunded. Applications will not be considered until the fee has been received. Receipt of payment will be acknowledged by email from Apply Yourself.
*Rolling Admissions. However, priority consideration will be given to applications received by these deadlines.
Full-time students are encouraged to apply for Fall admission only, as the course selections in Spring and Summer term are directed toward more advanced students.
|Admission Application (Domestic)||July 15||November 1||March 15|
|Admission Application (International)||January 15||June 15||December 15|
|Financial Support Application||January 15||September 15||January 15|
Application Processing and Notifications
The School of Information Sciences makes every effort to issue a determination about applications within 4-6 weeks of the application deadline. This is, of course, dependent upon the timely receipt of all required application materials. You will be notified via e-mail when an admissions decision has been posted to your Apply Yourself account.
Please note that, during the December–January timeframe, numerous applications are received. Due to the volume of submissions, there may be a delay in notification of receipt of materials.
You may always check your Apply Yourself account to ascertain if documentation has been received or if an admissions decision has been made. The status of your application, related documents and admission decision cannot be verified until you have submitted the application fee (which is the final step in submitting your application).