If you’re a working professional who wants to advance your career and increase your earning potential—but returning to school full time isn’t an option—the online M.S. in Data Science is the solution you’ve been looking for.
This program was developed to provide convenience and flexibility to midcareer professionals. You’ll gain deep, specialized knowledge on the topic of your choosing in a format that’s accessible and intuitive.
Find out how to apply, and then submit your online graduate application by the deadlines.
I'm most surprised by how engaging the faculty are online. They’re as accessible and approachable as you would expect in a residential setting.
KC Munnings, M.S. in Data Science—Online
The data science material you’ll cover in your online master’s degree is the same coursework our residential M.S. students complete, and it’s led by the same expert faculty.
The difference is in the delivery of content: lectures are recorded and posted each week for you to watch at your own convenience. Faculty also host virtual office hours, group chats, and guided discussions to ensure that the learning is interactive and that you’re engaged and connected.
Each spring we host an optional Online Immersion Weekend (OIW) for our online students. It takes place on the IU Bloomington campus, Thursday through Saturday.
During the immersion weekends, you’ll receive hands-on experience with new data sets and participate in face-to-face presentations with national experts—an ideal way to get inspired and build or expand your network of data science professionals.
Before applying to this program, you should have a basic understanding of the programming languages Python and R, in addition to math and probability.
If you need help developing any of these skills, please contact the Luddy Office of Online Education for recommendations on how to increase your mathematical and programming skills.
To earn this degree you’ll complete 30 graduate-level credits.
You’re required to take:
In addition to completing your core requirements and a capstone project, you’ll choose to focus on one of four different domain areas:
A broad range of elective courses provide further opportunity to customize your degree.
All data science course requirements are listed in the Luddy academic bulletin. To review your specific requirements, choose the bulletin that represents the year you started, or plan to start, your program.
If you wish to enroll in a course not listed in the academic bulletin, or outside of the Luddy School of Informatics, Computing, and Engineering, please contact us to request approval.
