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 511 | Data Acquisition and Pre-Processing | 3.0 |
DSCI 521 | Data Analysis and Interpretation | 3.0 |
Elective Courses | 9.0 | |
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 Credits | 15.0 |
Sample Plan of Study
First Year | |||||
---|---|---|---|---|---|
Fall | Credits | Winter | Credits | Spring | Credits |
CS 570 | 3.0 | DSCI 501 | 3.0 | Elective | 3.0 |
DSCI 511 | 3.0 | DSCI 521 | 3.0 | ||
6 | 6 | 3 | |||
Total Credits 15 |