• Course Delivery
    100% Online
  • Total Credits
  • In-State Tuition Per Credit
  • Out of State Tuition Per Credit

Data Science, BS

Bachelor Of Science

US News and World Report - best bachelor's 2022

In the Information Age, enormous amounts of data are generated every day in a range of areas, including social media, search engines, insurance companies, healthcare organizations, hospitals, defense, and retail. Data science is now a rapidly growing, high-paying field. 

As a student in the IU Online BS in Data Science, you collect, organize, and analyze data to make meaningful conclusions. You write programs to perform data analysis on large, complex datasets. You evaluate the social, legal, and ethical issues that arise from the mass collection of data. 

Specific areas of focus include:

  • Data acquisition and storage
  • Data exploration and curation
  • Data modeling and analysis
  • Data visualization and presentation
  • Data ethics and governance

Your IU Online BS in Data Science prepares you for such careers as: 

  • Business intelligence analyst 
  • Data mining engineer 
  • Data architect 
  • Data scientist 
  • Analytics manager 
  • Research analyst  
  • Information officer 

This 100 percent online, consortial program is taught by IU East, IUPUI, IU Kokomo, IU Northwest, IU South Bend, and IU Southeast. This consortial model allows you to take coursework from several campuses and learn from a wide range of faculty.

Degree Requirements 

To earn the BS in Data Science, you must complete 120 credit hours.

Requirements are broken down as follows: 

  • Data science core courses, including capstone course (33 credit hours)
  • Professional communication courses (6 credit hours)
  • Computer science courses (11 credit hours)
  • Mathematics courses (9 credit hours)
  • Statistics courses (9 credit hours)
  • General education courses and electives, as needed to reach 120 credit hours 

IU Online provides friendly services and resources to help you succeed.

Download a printable PDF summary of the BS in Data Science. 


Admission requirements vary by campus. 


*This course may be substituted with CSCI-A 213: Database Applications.
*This course may be substituted with CSCI-C 442: Database Systems, INFO-I 308: Information Representation, or CSCI-B 461: Database Concepts.
*This course may be substituted with INFO-I 491: Capstone.
CSCI-N 317Computation for Scientific Applications3 Credits
INFO-I 233Data Fluency3 Credits
INFO-I 416Applied Cloud Computing for Data Intensive Sciences3 Credits
INFO-I 421Applications of Data Mining3 Credits
INFO-I 453Computer and Information Ethics3 Credits
NEWM-N 328Visualizing Information3 Credits
PBHL-B 352Fundamentals of Data Management3 Credits
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