|
|
|
Nov 27, 2024
|
|
2024-2025 Graduate & Professional Studies Catalog
Big Data Analytics, Graduate Certificate
|
|
The Department of Informatics and Networked Systems provides several options for advanced study in information science beyond a Bachelor’s or Master’s degree. The Certificate of Advanced Study (CAS) offers a highly-concentrated curriculum on the theory and application of the most current information field trends.
The 15-credit certificate program in Big Data Analytics 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 effectively handling large amounts of disparate data.
Big data involves three major dimensions: data size, data rate, and data diversity. Students completing the certificate will gain essential, in-depth knowledge of techniques and technologies relevant for big data management.
The courses offered allow you to tailor your program of study to your individual interests. Please note that some courses in the Certificate Program may have pre-requisites which must be taken prior to enrolling in the specific course. Any coursework taken to meet a pre-requisite will not count towards the credits for graduation from the Certificate Program.
|
15-credit Post-Bachelor’s Certificate
Post-Bachelor’s students must complete three of the following courses with a grade of C or better:
Elective courses
Post-Bachelor’s students must complete two of the following courses with a grade of C or better:
15-credit Post-Master’s Certificate
Core Courses
Post-Master’s students must complete three of the following courses with a grade of B or better:
Elective courses
Post-Master’s students must complete two of the following courses with a grade of B or better:
Coursework 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 this Program.
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.
15-Credit Post-Bachelor’s Certificates
A BS/BE 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.
15-Credit Post-Master’s Certificates
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.
|
|
|
|
