Big data involves three major dimensions: data size, data rate, and data diversity. Our students gain essential in-depth knowledge of techniques and technologies relevant for big data management. Students in this program learn to effectively handle large amounts of disparate data. The courses offered allow you to tailor your program of study to your individual interests.
At A Glance
Credits: 15 Duration: 1 to 3 semesters to complete Format: On campus
Next Start Date: August 24
| Application Deadlines | |
|---|---|
| Term | All Students |
| Fall | July 15 |
| Spring | November 1 |
| Summer | March 15 |
Admissions Requirements
- Big Data Analytics
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.
Coursework
This graduate certificate requires 15 credits of coursework. Students should have earned a bachelor's degree in computer science, information technology, telecommunications, computer or electrical engineering, or a related field with a scholastic average of B or better. View full Big Data Analytics graduate certificate requirements in the Pitt Course Catalog.