数据科学理学学士-计算数据科学

该选项侧重于数据科学的计算基础，包括设计，实施和分析软件，这些软件管理大型数据集的数量，异构性和动态特征，并利用多核硬件的计算能力。使用此选项的学生将参加计算机科学及相关领域的高级课程，以开发必要的技能，以构建涉及大数据的计算问题的有效解决方案。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，重点是发展管理和分析大规
This option focuses on the computational foundations of the data sciences, including the design, implementation and analysis of software that manages the volume, heterogeneity and dynamic characteristics of large data sets and that leverages the computational power of multicore hardware. Students in this option will take upper-level courses in computer science and related fields to develop the skills necessary to construct efficient solutions to computational problems 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.