Use Data to Predict Behavior
Analytics describes the use of data to guide evidence-based decision-making. At a time when large data sets are being collected throughout society, you’ll combine information systems and statistics to learn how to navigate data-rich environments. This co-major examines the collection and use of "big data" for developing models to predict behavior.
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Curriculum and Courses
You will take a common core of requirements that provide a foundation in the following areas: data description and summarization; data management; regression models; and visualizing data. In addition to the core coursework, students will take a track of courses that reflect a focus on a particular area of application of analytics or advanced methods. There are three tracks that students can choose from – Business Analytics, Predictive Analytics, and Geospatial Analytics.
Anything you want. Skills that involve processing data into information that is used to support insight and innovation will serve you in any area of application. Marketers use these skills to target products and coupons, educators use these skills to identify students who might benefit from additional educational intervention, bankers use these skills to detect fraudulent credit card activity, and biologists use these skills to explore genomic data. Graduates of this program pursue data science careers in corporations, consulting, government agencies, and non-profit organizations.
Facts and Stats
Your college experience here will be one of the most exciting times of your life. To make sure of this, we’ll provide you with a powerful support system.
First-to-second year retention
Miami University Data
Among Public Universities in the United States for Four-Year Graduation Rate
The Chronicle of Higher Education Almanac
of 2018-2019 graduates who were employed or furthering their education by fall 2019
Miami University Data
For Alison, mentors like Alison Farmer, director of the Center for Analytics and Data Science, shaped her path. “She’s probably one of the first people who saw so much potential in me. She understands being a female in STEM."
Alison Tuiyott '20
Analytics and Statistics
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