Statistics academic programs offer students the opportunity to delve into the fascinating world of data analysis, data science, and mathematical statistics. As a discipline that plays a crucial role in various fields, including finance, healthcare, social sciences, and technology, statistics equips students with essential skills to interpret and draw meaningful conclusions from data. These academic programs provide a solid foundation enabling students to navigate the complex landscape of data-driven decision-making.
Data Science and Statistics combines knowledge of concepts from statistics and computer science to extract meaning from data to inform evidence-based decisions. Students select a concentration in statistics or in data science. The two concentrations share a core of coursework in mathematics, statistics and programming. The concentration in statistics develops skills for preparing and analyzing data in a wide variety of observational and experimental contexts. The concentration in data science focuses on methods needed for exploring, managing and analyzing complex or enormous data sets.
Data Analytics combines statistical methods, programming skills and deep knowledge in a field of application to extract meaning from large, unstructured or complex data sets with the goal of informing policy, decisions, or scholarly research. Students select a concentration in one of two areas of application: Geospatial Analytics or Bioinformatics.
Students majoring in the Geospatial Analytics concentration may not co-major in Analytics. Students majoring in the Bioinformatics concentration may not minor in Bioinformatics.
Analytics describes the extensive use of data to guide evidence-based decision-making. This field has emerged during a time when massively large data sets are being collected throughout society. Analytics lives at the junction between numerous traditional disciplines including information systems and statistics. This program will provide a framework for thinking about the collection and use of so-called "big data" and students will develop skills for handling structured and unstructured data sets and for developing models to predict behavior in data-rich environments.
Analytics describes the extensive use of data to guide evidence-based decision-making. This field has emerged during a time when massively large data sets are being collected throughout society. Analytics lives at the junction between numerous traditional disciplines including information systems and statistics. This program will provide a framework for thinking about the collection and use of so-called "big data" and students will develop skills for handling structured and unstructured data sets and for developing models to predict behavior in data-rich environments.
This minor is designed for students who are preparing for a possible career as an actuary. The extensive prerequisites for the minor reflect the fact that most students in this program will have a major in mathematics and statistics.
Students completing a bioinformatics minor will gain the basic knowledge of biology and programming needed to work in this area, as well as an understanding of how computational techniques can be used to advance our knowledge of biology and the life sciences.
Methods of statistics are used more and more in decision-making and data analysis in business and industry. As a result, demand for persons knowledgeable in the science of statistics is on the rise. This minor provides a program suitable for students with good mathematical abilities.
This minor builds on the statistical methods of estimation and hypothesis testing introduced in the introductory statistics course. It includes additional study of the statistical methods involved in regression analysis and experimental design as well as options for study of non-parametric, quality control, and/or sampling methods.
The Department of Statistics participates in Miami University's combined Bachelor's/Master's program. Highly-qualified students from any undergraduate major can concurrently work toward a master's degree in statistics and may count up to 9 graduate hours toward both degrees. Upon completion of all degree requirements, the bachelors and masters degrees are awarded simultaneously.
With careful advance planning, this combined program can significantly reduce the time to successful completion of a masters degree.
Contact: Seonjin Kim, Graduate Director, kims20@MiamiOH.edu, 305A Upham Hall, 513-529-2175
The three learning outcomes undergraduate degrees in Statistics are:
Students shall be able to analyze and interpret data critically using statistical models and programming skills. Assessed in STA 402 (programming skills) and STA 466 (modeling skills).<
Students shall demonstrate understanding of the mathematical basis and theoretical foundations of statistics.Assessed in STA 462.
Students shall be able to effectively communicate, both orally and in written form, results of statistical analyses to both the expert and layperson. Assessed in STA 475.
