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Indiana University Online

Data Science, M.S.

The IU Online Master of Science in Data Science is an interdisciplinary program that gives you the data science skills you need to enter a high-paying, rapidly growing career field. With this flexible online master’s program, you’ll take coursework in engineering, informatics, information science, and statistics. 

A woman works at a laptop with a large screen of cluster data in the background.

Course Delivery: 100% Online

Total Credits: 30

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

Two colleagues observe a set of data on a large array of monitors on a wall.

Degree Overview

In IU Online’s Master of Science in Data Science, you’ll focus on analyzing, visualizing, and reporting data across a wide variety of sectors. You’ll develop the skills needed to address a prominent shortage in managers and analysts who have the know-how to make effective decisions based on data.

You’ll graduate with an Indiana University degree respected by employers worldwide—and you can work on yours anytime and anywhere. Plus, you’ll enjoy personalized support services throughout your academic journey.

And the benefits start long before graduation. More than half of IU Online students advance in their careers before they complete their degree.

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

Complete an online application that includes:

  • Transcripts
  • Resume
  • Personal statement
  • Two letters of recommendation 

Your IU Online M.S. in Data Science prepares you for such careers as:

  • Business intelligence analyst
  • Data mining engineer
  • Data architect
  • Data scientist
  • Analytics manager
  • Research analyst
  • Statistician
  • Machine learning engineer
  • Clinical programmer
  • Modeling and Simulation Analyst
  • Data Visualization Developer

To graduate with the M.S. 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)

Choose one statistics class:

Statistics Classes for the MS in Data Science
Course Number Course Name                                                              Credits
SPCN-V 506 Statistical Analysis for Effective Decision-Making 3 Credits
STAT-S 519 A Gentle Introduction to Statistics in R         3 Credits

Choose one machine learning class:

Machine Learning Classes for the MS in Data Science
Course Number Course Name Credits
CSCI-B 551 Elements of Artificial Intelligence                       3 Credits
ENGRE-E 511 Machine Learning for Signal Processing 3 Credits
ENGR-E 533 Deep Learning Systems 3 Credits
CSCI-P556 Applied Machine Learning                                             3 Credits

Choose two courses from Data Analytics and Visualization, Intelligent Systems Engineering, or Cybersecurity:

Data Analytics and Visualization

Data Analytics and Visualization Classes for the MS in Data Science
Course Number Course Name Credits
DSCI-D 590 Optimization and Simulation for Business Analytics 3 Credits
DSCI-D 590 Data Visualization 3 Credits
ENGR-E 534 Big Data Applications 3 Credits
ENGR-E 583 Information Visualization 3 Credits
ILS-Z 534 Search 3 Credits
INFO-I 535 Management, Access, and Use of Big and Complex Data 3 Credits
INFO-I 606 Network Science 3 Credits

Intelligent Systems Engineering

Intelligent Systems Engineering Classes for the MS in Data Science
Course Number Course Name                                                               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 599 Topics in Intelligent Systems Engineering 3 Credits

Cybersecurity

Cybersecurity Classes for the MS in Data Science
Course Number Course Name Credits
INFO-I 520 Security in Networked Systems 3 Credits
INFO-I 525 Organizational Informatics and Economics of Security 3 Credits
INFO-I 533 Systems and Protocol Security and Information Assurance 3 Credits

 

Capstone
Capstone Classes for the MS in Data Science
Course Number Course Name Credits
DSCI-D 590 Faculty Assistance in Data Science                                               3 Credits
DSCI-D592 Data Science in Practice 3 Credits
DSCI-D699 Independent Study 3 Credits

Choose up to 15 credits from electives:

Course Number Course Name Credits
DSCI-D 590 Time Series Analysis 3 Credits
DSCI-D 591 Graduate Internship 3 Credits
INFO-I 513 Usable Artificial Intelligence 3 Credits
INFO-I 529 Machine Learning in Bioinformatics 3 Credits
ILS-Z 639 Social Media Mining 3 Credits
SPCN-P 507 Data Analysis and Modeling for Public Affairs 3 Credits
STAT-S 681 Introduction to Regression Models and Nonparametrics 3 Credits
CSCI-B 505 Applied Algorithms 3 Credits
CSCI-B 561 Advanced Database Concepts 3 Credits
CSCI-B 657 Computer Vision 3 Credits
DSCI-D 532 Applied Database Technologies 3 Credits
DSCI-D 590 Applied Data Science 3 Credits
DSCI-D 590 Data Science On-Ramp 3 Credits
DSCI-D 590 Introduction to NLP for Data Science 3 Credits
DSCI-D 590 Introduction to Python Programming 3 Credits

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

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