Post-Baccalaureate Certificate in Applied Data Science

Certificate Level: Graduate
Admission Requirements: Bachelor's degree
Certificate Type: Post-Baccalaureate
Number of Credits to Completion: 15.0
Instructional Delivery: Online; Campus
Calendar Type: Quarter
Expected Time to Completion: 1 year
Financial Aid Eligibility: Aid eligible*
Classification of Instructional Program (CIP) Code: 11.0104
Standard Occupational Classification (SOC) Code: 15-1132

*The current plan of study for this program would only allow for federal financial aid (including Federal Direct Student Loans) for terms that are at least a minimum of 4.5 credits for graduate courses and 6.0 credits for undergraduate courses. This is based on current regulations from the U.S. Department of Education.

About the Program

The post-baccalaureate certificate provides a strong foundation in data science with a focus on the techniques and methods for data analysis and real-world problem solving. The certificate program may also count towards part of the Master of Science in Data Science if completed with predetermined grade requirements.

Admission Requirements

The post-baccalaureate certificate in Applied Data Science accepts applicants who hold bachelor's degrees from an accredited university and offers them an opportunity to learn a variety of foundational and applied data science topics. Please visit the College of Computing & Informatics website to learn more about admission requirements.

Additional Information

For more information about this program, 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 courses from the following:
Programming Foundations
Quantitative Foundations of Data Science
Applied Machine Learning for Data Science
Applied Cloud Computing
Foundations of Data and Information
Data and Digital Stewardship
Social Network Analytics
Information Retrieval Systems
Information Visualization
Introduction to Data Analytics
Total Credits15.0

Sample Plan of Study

First Year
CS 5703.0DSCI 5013.0Elective3.0
DSCI 5113.0DSCI 5213.0 
 6 6 3
Total Credits 15
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