What is Data Analytics?
Data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with expertise that cuts across core disciplines of computer science, mathematics and statistics, AND highly developed critical thinking, problem-solving and communication skills.
Why study Data Analytics?
The application of data analytics to “big data” is revolutionizing the way we understand and interact with the world.
How to study Data Analytics at Ohio State
Data analytics is a uniquely interdisciplinary major with academic partnerships rarely found in other majors. Data analytics majors receive a Bachelor of Science (BS) degree from the College of Arts and Sciences through curricular partnerships with the College of Engineering, the College of Medicine, the College of Public Health, and the Fisher College of Business.
Each student chooses a specialization within the major to learn how core fundamentals are applied in a particular field. The Curriculum Overview page gives you an in-depth look at the major.
The McKinsey Global Institute
describes data analytics as “the next frontier for innovation.” Data Analytics professions are ranked favorably in terms of job environment, outlook, stress and compensation — mid-career professionals can expect to earn a solid six-figure income. In May 2015, the Harvey Nash CIO Survey
revealed that the demand for big data analytic skills has grown to nearly six times that of the second most-sought-after skill. The use of big data is being integrated into career opportunities in ways that were unimagined a few years ago. Examples include:
Clinical Research • Sports Analytics • Cyber Security • Market Research • Genomic Sequencing • Health Information Systems • Machine Intelligence • Search Engine Development • Financial Fund Management • Pharmaceutical Research • Aviation Management • Insurance and Risk Management • Infectious Disease Epidemiology