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University of Pittsburgh    
2020-2021 Graduate & Professional Studies Catalog 
  Jun 01, 2023
2020-2021 Graduate & Professional Studies Catalog [Archived Catalog]

Telecommunications, Graduate Certificate

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Students who have graduated from a Master’s program may pursue a certificate in Telecommunications.

In consultation with an advisor, students project a Plan of Study to meet their specific interests or needs, and these plans may change as the program proceeds. Students may select graduate-level courses in other departments within the University as well as at Pittsburgh Council on Higher Education-cooperating institutions. Admission to all courses is contingent upon meeting course prerequisites and is subject to the advisor’s approval.


Candidates for the Telecommunications 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 MST 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

The following are requirements and prerequisites for admission to the certificate program.

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  - INTERMEDIATE PROGRAMMING or STAT 1000  - APPLIED STATISTICAL METHODSis 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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