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Nov 30, 2024
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2024-2025 Graduate & Professional Studies Catalog
Information Science, Graduate Certificate
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Return to: School of Computing and Information
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.
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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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Return to: School of Computing and Information
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