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2021-2022 Graduate & Professional Studies Catalog
University of Pittsburgh
   
2021-2022 Graduate & Professional Studies Catalog 
    
 
  Dec 08, 2022
 
2021-2022 Graduate & Professional Studies Catalog [Archived Catalog]

Information Science, Graduate Certificate


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The 24-credit Certificate of Advanced Study (CAS) provides personalized program of studies beyond the MSIS degree. The program will provide you with an opportunity to explore a specific field of interest or to update skills and competencies. This certificate program is designed for people who do not wish to pursue the PhD degree.

In this quickly-evolving field, it is critical for professionals to gain knowledge of leading-edge topics and to update their skills to reflect the latest in technology and research. Our CAS will keep your skills current.

Courses


Candidates for the Information Science certificate must complete the following requirements:

  • A total of 24 credits in graduate-level courses acceptable to the advisor and passed with a grade point average of at least B (3.00 on a 4.00 scale)
  • 15 of the 24 credits must be taken from among the approved courses for the MSIS degree program.

Course work must be completed within a period of four calendar years from the student’s initial registration in the certificate program.

Admissions Requirements


A MS degree from an accredited college or university in Computer Science, Information Technology, Information Science, Telecommunications, Computer or Electrical Engineering, Mathematics or a related field with a scholastic average of a B (3.0 on a 4.0 scale) or better.

All applicants must submit:

  • Official transcript
  • Two letters of recommendation that attest to the applicant’s aptitude and motivation to pursue studies at a level beyond the bachelor’s or master’s degree
  • Personal statement
  • Resume
  • Successful completion of at least one three-credit college course with a grade of B or better in each of the following:
    • Structured programming language. A course on structured programming using Java, C# or C++ is required. CMPINF 0401  - INTERMEDIATE PROGRAMMING is recommended to meet this requirement.
    • Statistics. 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 STAT 0200  - BASIC APPLIED STATISTICS, or STAT 1000  - APPLIED STATISTICAL METHODS is recommended to meet this requirement.
    • Mathematics. A college-level mathematics course, in discrete mathematics or calculus, is required. Any of the following Pitt courses are recommended to meet the requirement: MATH 0120  - BUSINESS CALCULUS, MATH 0220  - ANALYTIC GEOMETRY AND CALCULUS 1, or MATH 0400  - FINITE MATHEMATICS.

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