The Applied Data-Driven Methods (ADDM) graduate certificate is designed for individuals looking to develop the computational and data skills necessary to support the increasingly data-oriented nature of many careers. The curriculum is aimed at students whose primary academic background lies outside of computing and information, but whose academic or professional aspirations require expertise in understanding and applying data-driven methods.
At A Glance
Credits: 12 Duration: 3 semesters to complete Format: Online
Application Deadline: August 10 (Fall Term) Next Start Date: August 24
Admissions Requirements
- Applied Data-Driven Methods
To be considered for admissions to this graduate certificate program, students are expected to meet the following requirement:
- Have obtained a Bachelor’s degree with a B average (a grade point average of 3.00 on a 4.00 scale) or better in the total undergraduate program.
It is strongly recommended that applicants have completed an introductory statistics course with a grade of C or higher. This course should cover topics including measures of central tendency and variability, regression, correlation, non-parametric analysis, probability and sampling, Bayesian analysis, significance tests, and hypothesis testing. Example courses at the University of Pittsburgh include STAT 0200: Basic Applied Statistics, and STAT 1000: Applied Statistical Methods
No prior programming experience is required for admission to this graduate certificate program.
Coursework
This certificate requires 12 credits of coursework. All credits can be completed on their own or applied towards completion of the Master of Science in Data Science. View full ADDM graduate certificate requirements in the Pitt Course Catalog.