Data Science, Graduate Certificate
Course Delivery: 100% Online
Total Credits: 12
In-State Tuition Per Credit: $490.00
Out-of-State Tuition Per Credit: $812.50
Cost of attendance may vary by campus. View the total cost calculator
Certificate Overview
The IU Online Graduate Certificate in Data Science is a great introduction to the field for technology-oriented working professionals and recent graduates seeking a competitive advantage in the job market. Coursework includes classes in cloud computing, high-performance computing, data mining, machine learning, data analysis, and more.
To be accepted into this program, you must have a bachelor's degree.
To apply to this program, complete an online application that includes:
- Transcripts
- Resume
- Personal statement
- Letter of recommendation
- GRE scores (highly recommended for consideration, but not required)
Application Deadlines
Fall semester: May 1
Spring semester: November 1
Note: This program is not eligible for financial aid.
Your IU Online Graduate Certificate in Data Science prepares you for such careers as:
- Business intelligence analyst
- Data mining engineer
- Data architect
- Data scientist
- Analytics manager
- Research analyst
To earn the Graduate Certificate in Data Science, you must complete 12 credit hours from an approved list of online graduate-level courses; completion of four (4) online courses are required for the certificate.
If you choose to pursue the IU Online M.S. in Data Science, these certificate courses may apply to your degree requirements. Completion of the certificate program does not guarantee admission to the graduate program.
Course Number | Course Name | Credits |
---|---|---|
CSCI-B 505 | Applied Algorithms | 3 Credits |
CSCI-B 551 | Elements of Artificial Intelligence | 3 Credits |
CSCI-B 562 | Advanced Database Concepts | 3 Credits |
CSCI-B 657 | Computer Vision | 3 Credits |
ENGR-E 511 | Machine Learning for Signal Processing | 3 Credits |
ENGR-E 516 | Engineering Cloud Computing | 3 Credits |
ENGR-E 517 | High Performance Computing | 3 Credits |
ENGR-E 533 | Deep Learning Systems | 3 Credits |
ENGR-E 583 | Information Visualization | 3 Credits |
ILS-Z 534 | Search | 3 Credits |
ILS-Z 639 | Social Media Mining | 3 Credits |
INFO-I 526 | Applied Machine Learning | 3 Credits |
INFO-I 535 | Management, Access, and Use of Big and Complex Data | 3 Credits |
INFO-I 590 | Topic: Introduction to NLP for Data Science | 3 Credits |
INFO-I 590 | Topic: Applied Data Science | 3 Credits |
INFO-I 590 | Topic: Data Visualization | 3 Credits |
INFO-I 606 | Network Science | 3 Credits |
STAT-S 520 | Introduction to Statistics | 3 Credits |
STAT-S 681 | Topics in Applied Statistics: Regression Models and Parametrics | 3 Credits. |
Find course descriptions with our Search Schedule of Classes/Courses tool.
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