Graduate Certificate in Information and Network Security
*This certificate was previously known as the Certificate of Advanced Study in Security Assured Information Systems (SAIS)
Our 15-credit graduate certificate in Information and Network Security is designed to address the needs of professionals with a Bachelor of Science or a Master of Science degree in Information Science or a related field in order to expand their professional skills and qualifications in cybersecurity.
Students must complete the following courses with a grade of B- or better
- INFSCI 2150 Information Security and Privacy
- TELCOM 2821 Network Security
Students must complete two of the following courses with a grade of C or better:
- INFSCI 2170 Cryptography
- INFSCI 2540 Software Engineering
- INFSCI 2620 Developing Secure Systems
- INFSCI 2621 Security Management
- INFSCI 2731 Security in E-Commerce
- INFSCI 2955 ST: Systems & Techology: Cybersecurity & Privacy Regulation
- TELCOM 2120 Network Performance
- TELCOM 2813 Security Management
- TELCOM 2825 Network Systems and Network Infrastructure Protection
Applicants must have a BS/BE or an MS degree from an accredited college or university in Computer Science, Information Technology, 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.
Requirements and Prerequisites
- 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
- 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. Either INFSCI 0017 Object-Oriented Programming 1 for Information Science, CS 0401: Intermediate Programming Using Java 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 STATS 0200: Basic Applied Statistics, or STATS 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: Discrete Mathematical Structures.