Academic Background

You do not have to come from a STEM (science, technology, engineering, and math) background to be successful in the Data Science Program at Indiana University. We believe every student has something to offer and that every experience can be transformed into a powerful combination of skills to make you an asset in any workplace.

With that said, Indiana University requires that all applicants have (or will be awarded) a 4-year bachelor’s degree with a GPA of 3.0 or above on a 4.0 scale to be eligible for our graduate programs. International Academic US equivalent bachelor’s degrees need to include completion of a four-year bachelor’s degree, the Postgraduate Diploma (PGD) following a three-year bachelor’s degree, or the first year of a master’s degree following a three-year bachelor’s degree. Applicants whose undergraduate degree is a three-year program may not be eligible for graduate level admissions consideration at Indiana University.

Applicants who already hold a master’s or doctoral degree from the School of Informatics, Computing, and Engineering whose degree requirements are equivalent to a Data Science master’s degree are not eligible to apply for the MS in Data Science.

All applicants are expected to have a sufficient background in mathematics (calculus and elements of applied mathematics, e.g., linear algebra, probability, statistics, and/or discrete mathematics) and computer programming (Python, R, C++, Java); experience with data structures and algorithms is also helpful. Applicants without a bachelor’s degree in the fields of Informatics, Information Science, Computer Science, Engineering, or Statistics will need to demonstrate mathematical and computer programming skills through self-enrichment, predatory coursework, or completion of Data Science Essentials.

We offer both masters and certificate programs. Our M.S. program is 30 credits in length and can be experienced on campus, 100% online, or in a blended version with online and in-residence components. Our Certificate program comprises 12 credit hours and is 100% online. All programs admit once a year in the Fall terms.

Degree Options

Residential M.S.

Deadline: January 15, 2019

Our residential option provides local access to the School's world-class faculty, opportunities to participate in cutting-edge research, and immersion in the vibrant Bloomington campus. Students are required to complete 30 credit hours of graduate-level coursework in our applied curriculum or specialize in our Computational & Analytical Track.

Online M.S.

Deadline: April 5, 2019

Our online option provides working professionals and recent college graduates a flexible graduate degree in an interdisciplinary program. Students have up to five (5) years to complete 30 credit hours of graduate-level coursework.

Online Certificate

Deadline: April 5, 2019

Our accredited online certificate conveniently adjusts to your life and schedule. With a broad range of courses available on topics, you can tailor your curriculum to suit your professional interests and career goals. Students have up to five (5) years to complete 12 credit hours of coursework through our approved graduate-level courses. Additionally, the credit you complete during the certificate program can be applied towards our Online Master's in Data Science at a later date should you so choose.

For international students: All residential parts require valid Visa. Residential M.S. can apply CPT and OPT. If you have any questions, please check the FAQ page.