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Data Science, MS

Master of Science

Enormous amounts of data are generated every day in a range of areas such as social media, search engines, insurance companies, healthcare organizations, hospitals, defense, retail, and many others. Data science focuses on analyzing, visualizing, and reporting these data to add great value across a range of sectors. Data science is a rapidly growing, high-paying field. There is a projected shortage of 140,000 to 190,000 people with deep analytical skills, as well as a shortage of 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.

The IU Online Master of Science in Data Science is an interdisciplinary program that exposes you to courses in computer science, engineering, informatics, information science, and statistics. 

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

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

Degree Requirements

To graduate with the MS in Data Science, you must complete 30 credit hours of graduate-level coursework. 

Requirements are broken down as follows: 

  • Data science core courses (6 credit hours)
  • Data science specialization courses (6 credit hours)
  • Data science elective courses (15 credit hours)
  • Capstone project (3 credit hours)


To be accepted to this program, you must have:
  1. A bachelor's degree 

NOTE: This program is authorized, exempt, or not subject to state regulatory compliance and may enroll students from all 50 states

To apply to this program:

Complete an online application that includes:

  • Transcripts
  • Resume
  • Personal statement
  • Two letters of recommendation 
  • GRE scores (highly recommended for consideration, but not required)

Applicants are encouraged to consult the Data Science How To Apply page for application open dates and deadlines. 


Select one: SPCN-V 506 Statistical Analysis for Effective Decision-making -or- STAT-S 520 Introduction to Statistics (Higher level Statistics course may be taken with approval)

Select one: CSCI-B 551 Elements of Artificial Intelligence, ENGR- E 511 Machine Learning for Signal Processing, ENGR-E 533 Deep Learning Systems, or INFO-I 526 Applied Machine Learning

Select one of the following application areas and complete two courses within that specific area: Data Analytics and Visualization, Intelligent Systems Engineering, Precision Health, or Cybersecurity.

All students will be required to participate in a projects course during his or her final year of study: DSCI-D 590 Data Science in Practice (Capstone)

Find course descriptions with our Search Schedule of Classes/Courses tool.

Tuition & Fees

Cost for Indiana Residents
  • Per Credit Hour
  • Tuition: $490.00
  • 3 Credit Hours
  • Tuition: $1470.00

-Departmental aid awarded to all admitted nonresidential (out-of-state) students. 

-Rate is determined by program of enrollment.

-Additional fees will apply.

Cost for Out of State Residents
  • Per Credit Hour
  • Tuition: $812.50
  • 3 Credit Hours
  • Tuition: $2437.50