计算机科学理学学士-数据科学与分析

数据科学和分析：学习创建分析模型和从复杂数据中提取新知识的方法。各种类型的公司和组织都出于各种原因聘用数据科学家，包括确定消费者趋势，破坏军事法规，提高工人和流程的效率，甚至分析一个运动队可能击败另一个运动队的可能性。计算机科学是一门发展迅速的学科，重点放在网络安全和信息保证，传感器网络和通信，计算科学和可视化等方面。开发下一个最畅销的应用程序，设计数字媒体，升级移动设备，或打破娱乐软件设计和游戏的可能性。确保人员安全，使人员娱乐或创造一种实现这两种方式的方法。这完全取决于您。云计算和网络：云计算和网络使
In our current ''digital age'', vast amounts of data are available, and extracting useful information from large data sets can be a delicate and daunting task. Data Analysis & Analytics focuses on data management by using software tools to record, manage, and process data. This discipline requires understanding constraints for data management and gathering and specifying requirements through elicitation. This field has a variety of applications in diverse areas such as mathematics, biology, statistics, data warehousing, artificial intelligence, and more. Many types of companies and organizations employ data scientists for a variety of purposes like identifying consumer trends, breaking military codes, creating more efficient processes, and even analyzing outcomes of sporting events.<br>Extremely large datasets are referred to as ''big data''. Big data is a specified area of data science and analytics and often requires uncommon software tools to analyze. The Data Analysis & Analytics concentration also encompasses big data.