统计学理学学士

统计学理学学士学位旨在为学生提供一个框架，以发展统计概念与理论之间的联系以及它们在统计学实践中的应用。它将为统计学家做准备，他们可以使用现代统计技术来设计研究，收集数据，分析和可视化高维数据集，并在以数据为中心的世界中得出有效的结论。在该计划中，学生将使用久经考验的统计概念和理论与现代分析方法相融合，以便解释几乎在各个学科以及行业和政府各个部门收集的数据。统计学士学位课程总共需要120个学时，包括主要核心要求，集中要求和梅森核心要求。该计划的主要核心课程为学生提供了统计，数学和计算方面的坚实基础。选择浓度
The bachelor of science in statistics is designed to provide a framework for students to develop connections between statistical concepts and theories and their applications to statistical practice. It will prepare statisticians who can use modern statistical techniques to design studies, collect data, analyze and visualize high dimensional data sets, and draw valid conclusions in an increasingly data-centric world. In this program, students will meld the time-tested concepts and theories of statistics with modern methods of analysis, in order to interpret the data that is collected in nearly every discipline and every sector of industry and government. The BS in Statistics requires a total of 120 credit hours, including major core requirements, concentration requirements, and Mason Core requirements. The program's major core curriculum provides students with a firm foundation in statistics, mathematics, and computing. Selection of a concentration allows a student to specialize in applied, theoretical, or computational aspects of statistical practice.Students will select one of three concentrations: Applied Statistics, Mathematical Statistics, or Statistical Analytics. The Applied Statistics concentration focuses on developing proficiency in analytical methods applicable to a specific discipline of the student's choosing. This is accomplished through the requirement to complete a minor in a field that makes substantial use of data analysis. The Mathematical Statistics concentration is designed for students interested in mastering the theoretical underpinnings of statistics and probability, this concentration is recommended for students who intend to continue graduate studies in statistics or whose main focus is on research. The Statistical Analytics concentration blends the disciplines of computer science and statistics in a very modern way and is designed for students interested in applying concepts from statistics and computer science to the analysis of massive data sets.