Post-Baccalaureate Certificate in Computational Data Science

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 15.0
Instructional Delivery: Online; Face-to-Face
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Aid eligible
Classification of Instructional Program (CIP) Code: 11.0701
Standard Occupational Classification (SOC) Code: 11-3021

About the Program

The aim is to provide a strong foundation in this emerging area, with a focus on computational and systems issues. The certificate program may also serve as an onramp to a Master of Science in Computer Science, or to a Master of Science in Data Science, if completed with predetermined grade requirements.

Admission Requirements

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

Additional Information

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

Program Requirements

Required Core Courses
DSCI 511Data Acquisition and Pre-Processing3.0
DSCI 521Data Analysis and Interpretation3.0
Elective Courses9.0
Choose 3 from the following:
Fundamentals of Databases
Introduction to Artificial Intelligence
Introduction to Computer Vision
Machine Learning
Deep Learning
Data Analysis at Scale
Responsible Data Analysis
Total Credits15.0
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