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Apply NowApplied Data Science, Undergraduate Certificate
Course Delivery: 100% Online
Total Credits: 21
In-State Tuition Per Credit: $317.26
Out-of-State Tuition Per Credit: $412.44
Cost of attendance may vary by campus. View the total cost calculator
Certificate Overview
As a student in the IU Online Undergraduate Certificate in Applied Data Science, you’ll discover how to use technology to make insightful decisions and predict outcomes based on data. You’ll develop mathematical and technological skills, allowing you to make influential decisions based on information.
You’ll graduate with an Indiana University certificate respected by employers worldwide—and you can work on yours anytime and anywhere. Plus, you’ll enjoy personalized support services throughout your academic journey.
To be accepted to this program, you must have:
- Admissions requirements vary.
To apply to this program:
- Complete application for admission.
- Submit official transcripts
- International applicants may be asked for additional materials.
Application Deadlines
Fall Semester:
Priority first-year deadline: June 1
Priority transfer deadline: July 1
Spring Semester:
Priority deadline: December 1
Summer Semester:
Priority deadline: March 16
Summer session II
Priority deadline: May 1
Note: This program is not eligible for financial aid.
Your IU Online Undergraduate Certificate in Applied Data Science may prepare you for such careers as:
- Business intelligence analyst
- Business technology analyst
- Data project manager
- Data warehousing specialist
- Database administrator
- Document management specialist
- Informatics project manager
- Information architect
- Logistics analyst
- Operations research analyst
- Software developer
To earn the Undergraduate Certificate in Applied Data Science, you must complete 21 credit hours. Requirements are broken down as follows:
- Core courses (21 credits)
Course Number | Course Name | Credits |
---|---|---|
LIS-S 202 | Data Organization and Representation | 3 Credits |
MATH-M 220 | Calculus for Data Science I | 3 Credits |
MATH-M 230 | Calculus for Data Science II | 3 Credits |
MATH-M 303 | Linear Algebra for Undergraduates | 3 Credits |
NEWM-N 328 | Visualizing Information | 3 Credits |
INFO-I 415 | Introduction to Statistical Learning | 3 Credits |
INFO-I 416 | Applied Cloud Computing for Data Intensive Sciences | 3 Credits |
Find course descriptions with our Search Schedule of Classes/Courses tool.
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