Degree Programs:

School of Sciences

Bachelor of Science in Data Science – Collaborative Online Degree Program

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 B.S. 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.  

Services and Resources

Students admitted to IU Online receive a full range of personalized support services, including:

  • Onboarding
  • Advising
  • Success Coaching
  • Math and Writing Support
  • Career Services
  • Peer Mentorship
  • Tutoring
Degree Requirements   

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

Requirements are broken down as follows:   

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

Admission requirements vary by campus.

Application Dates -  Rolling admissions. Application review will begin upon receipt of all required application materials.

Core Courses

  • CSCI-N 211 Introduction to Database (3 cr.) or CSCI-A 213: Database Applications (3 cr.)
  • CSCI-N 311 Database Programming, Oracle* (3 cr.) or CSCI-C 442: Database Systems or INFO-I 308: Information Representation, or CSCI-B 461: Database Concepts. 
  • CSCI-N 317 Computation for Scientific Applications (3 cr.) 
  • INFO-I 233 Data Fluency (3 cr.) 
  • INFO-I 416 Applied Cloud Computing for Data Intensive Sciences (3 cr.) 
  • INFO-I 421 Applications of Data Mining (3 cr.) 
  • INFO-I 453 Computer and Information Ethics (3 cr.) 
  • INFO-I 490 Professional Practicum/Internship (3 cr.) or INFO-I 491: Capstone (3 cr.)
  • NEWM-N 328 Visualizing Information (3 cr.) 
  • PBHL-B 352 Fundamentals of Data Management (3 cr.) 

You can transfer up to 64 credit hours from a regionally accredited community college, or 90 credit hours from an accredited four-year university or college.


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