Data Science Certificate

Program Coordinator: Nic Herndon (C-108 Science and Technology Building; 252-328-9696; herndonn19@ecu.edu)

The Data Science Certificate is designed to prepare technically oriented students to implement data science concepts to develop real-world applications. Topics include analytical and technical aspects of implementing and applying machine learning models on large datasets, creating compelling visualizations, and more. Students who successfully complete the program will demonstrate proficiency through problem-based activities and real-world experiences with an understanding of related ethical, social, organizational, legal, and security issues.

The certificate requires 12 s.h. as follows:

Core - 6 s.h.

DASC 6000 - Data Science Methods I
DASC 6020 - Machine Learning

Electives - 6 s.h.

Select two courses from the following:

DASC 6005 - Data Science Methods II
DASC 6015 - Data Visualization and Communication
DASC 6025 - Data Cleaning and Quality Assessment
DASC 6040 - Computational Analysis of Natural Languages