数据科学理学学士-统计建模数据科学

该选项着重于发现和验证所有大小的数据集中的模式所需的统计模型和方法。选择此方法的学生将学习建立创新统计技术的概率基础，同时学习需要计算专业知识的经典，基于回归的和更现代的统计计算技术。高级统计和数学课程将使学生准备好运用现代统计的理论机制来寻找有关大数据的问题的答案。在当今的信息社会中，对能理解大数据的专业人员的需求很高。宾夕法尼亚州立大学新的数据科学学位课程是信息科学与技术学院（IST），工程学院和Eberly科学学院之间的大学间计划的一部分，以满足这一需求。该计划将对学生进行数据科学的技术基础教育，重
This option focuses on the statistical models and methods that are needed to discover and validate patterns in datasets of all sizes. Students in this option will study the probabilistic foundations upon which innovative statistical techniques are built while learning both classical, regression-based and more modern statistical computing techniques requiring computing expertise. Upper-level statistics and mathematics courses will prepare students to apply the theoretical machinery of modern statistics to the search for answers to questions involving big data. In today's information society, professionals who can make sense of big data are in high demand. The new Data Sciences degree program at Penn State is part of an intercollege initiative between the College of Information Sciences and Technology (IST), College of Engineering, and Eberly College of Science to meet that need. The program will educate students on the technical fundamentals of data sciences, with a focus on developing the knowledge and skills needed to manage and analyze large-scale, unstructured data to address an expanding range of problems in industry, government, and academia. As a result, data sciences graduates will possess the core skills and problem-solving approaches to compete for leading-edge analytics positions across many different industry sectors. Students will gain breadth of knowledge through common core classes, as well as depth in one of three options. After taking common courses during the pre-major stage, students will choose among options focused on application, computation, and science. Students in all three options will come together in their junior and senior years for two shared capstone experiences.