Online Master of Science in Analytics (OMS Analytics)

Understanding the vast quantities of data available in today’s markets is essential to developing a winning business strategy. With Georgia Tech’s Online Master of Science in Analytics (OMS Analytics), you can build and strengthen your expertise to make yourself more valuable to a host of companies.

Our interdisciplinary approach gives you the opportunity to learn from some of the most knowledgeable experts in the fields of business intelligence, statistics, and operations research, as well as big data and high-performance computing.

The training you get with our OMS Analytics degree will leave you prepared to develop deep insights and sharpen your ability to work across disciplines to uncover the answers to the vast array of analytics problems you’ll encounter in your career.

In order to approach analytics problems, you need to develop a broad set of interdisciplinary tools. The OMS Analytics program provides the foundations so you can:

• Identify an analytics problem.
• Tap into relevant data streams.
• Employ mathematical models.
• Execute an effective analytics project.

Admission to the MS in Analytics is highly selective. We are looking for exceptional students with a strong interest in analytics and a high level of ability that has been demonstrated by past performance on appropriate coursework and/or by workplace experience as well as standardized testing. All applicants are expected to have basic background in mathematics (at least one college-level course or equivalent knowledge in calculus, probability/statistics, and some linear algebra) and computing (at least one college-level course or equivalent knowledge in computer programming using a high-level language like C, C++, Java, Python, FORTRAN, etc.), as well as a four-year bachelor's degree or equivalent. Applicants must submit either GRE or GMAT scores, a professional resume, a personal statement, and contact information for three people who will submit letters of recommendation. TOEFL scores (minimum score of 100) or IELTS scores (minimum score of 7.5) are also required for international applicants.

Applicants who do not have sufficient background in mathematics and computing may still be admitted, with the expectation that they either learn the necessary background material on their own, or take one or more preparatory courses such as MATH 1712, ISYE 6739, MATH 1553, and/or CS 1301 before starting the program.