BS Data Analytics at The Ohio State University

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 with highly developed critical-thinking, problem-solving and communication skills.

Faculty: Arts and Sciences  |  Study mode: full-time  |  Location: Columbus, OH, United States

What you will study

The requirements for the major are broken down into two components: core fundamentals and an area of specialization. All students take courses covering the fundamentals of data analytics, including: - Calculus and linear algebra - Data mining and statistical learning - Database design and cloud computing - Optimization - Probability and statistical inference - Regression modeling and statistical decision making - Software design and programming - Visualization Each student also chooses one of the following specializations to learn how data analytics is applied in a particular field: - Biomedical and public health analytics - Business analytics - Computational analytics - Data visualization.

Career pathways

Although a relatively new field, data science and analytics has been described by the Harvard Business Review as the “sexiest job of the 21st century.” Glassdoor, one of the world's largest job and recruiting sites, rated data scientist as the Best Job from 2016 to 2019. Companies in a wide range of fields actively recruit employees with specialized skills in data analytics.

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