Post-Baccalaureate Certificate in Data Science Foundations

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 12.0
Instructional Delivery: Online
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Not aid eligible
Classification of Instructional Program (CIP) Code: 30.7001
Standard Occupational Classification (SOC) Code: 15-1111

About the Program

The post-baccalaureate certificate in Data Science Foundations provides students with knowledge of fundamental data science concepts and techniques. Students hone their programming skills and learn to use industry-standard tools for data representation, processing, analysis, and interpretation. Elective courses cover diverse aspects of data science ranging from policy and ethics to specialized analytic techniques that can help students develop their ability to derive insights from diverse types of data.

Admission Requirements

Please visit the College of Computing & Informatics website to learn more about admission requirements.

Additional Information

For more information about this certificate program, please visit the College of Computing & Informatics website.

Program Requirements

Required Courses
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
Choose 2 of the electives below6.0
Programming Foundations
Introduction to Programming
Data Structures and Algorithms
Systems Basics
Introduction to Software Design
Quantitative Foundations of Data Science
Foundations of Data and Information
Database Management Systems
Information Systems Analysis and Design
Information Visualization
Introduction to Data Analytics
Information Policy and Ethics
Total Credits12.0

Sample Plan of Study

First Year
DSCI 5113.0DSCI 5213.0
 6 6
Total Credits 12
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