计算和数据科学理学学士/计算和数据科学理学硕士

该学位的目的是为学生提供技术技能和知识，以严格研究身体和社会现象。BS是一种变革性的方法，将现实世界中的计算机科学技能，数据采集和分析，科学建模，应用数学和仿真相结合，从而将乔治·梅森大学的科学融合在一起。作为跨学科STEM指定的程序，该学位致力于解决当前在大数据，建模和仿真领域中的核心作用。该计划的毕业生将具备必要的计算，科学和数学技能，以有效地参与科学模拟和数据分析小组的工作，这些小组在联邦和公共部门以及高科技公司中日益重要。此外，该计划的毕业生将为进入研究生课程做好充分的准备。计算和数据科学理学士学
The aim of this degree is to provide students with technical skills and knowledge for rigorously investigating physical and social phenomena. The BS is a transformative approach that integrates science at George Mason University based on the combination of real-world computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation. As an interdisciplinary STEM-designated program, this degree addresses the current central role of computation in the areas of big data, modeling, and simulation. Graduates of the program will possess the computational, scientific, and mathematical skills necessary for participating effectively as members of the scientific simulation and data analysis groups that are of increasing importance in the federal and public sectors, and in high technology firms. Additionally, graduates of the program will be well prepared to pursue graduate studies.The aim of the BS Degree in Computational and Data Sciences (CDS) is to provide students with the technical skills set and knowledge to rigorously investigate social and physical phenomena. This will be achieved in two ways. The first is the systematic development and application of computational techniques for modeling and simulation of scientific phenomena or social processes. The second is the systematic development and application of techniques for mining, managing, and analyzing large sets of data.This approach is highly interdisciplinary and will lead to understanding, interpretation, and prediction of phenomena that traditional theory or experiment cannot provide alone.