信息与数据科学理学学士

信息和数据科学与数据的获取，存储，通信，处理和分析有关。这些智力活动源远流长，而加州理工学院传统上一直占据优势，其师资分布在应用数学，电气工程，计算机科学，数学，物理学，天文学，经济学以及许多其他学科。在过去的十年中，以科学，模型和预测，商业决策和公共政策等形式提取可操作知识为目的的数据获取率迅速增长。从技术角度来看，数据可用性的快速增长在采集，存储和后续分析中带来了众多挑战。从根本上讲，人类无法直接处理如此大量的数据，而使信息处理和分析流程自动化的重要性也越来越高。人类活动的所有领域都受到影响：科学，医
The information and data sciences now draw not just upon traditional areas spanning computer science, applied mathematics, and electrical engineering - signal processing, information and communication theory, control and decision theory, probability and statistics, algorithms but also a range of new contemporary topics such as machine learning, network science, distributed systems, and neuroscience. The result is an area that is new, fundamentally different that related areas like computer science and statistics, and that is crucial to modern applications in the physical sciences, social sciences, and engineering. The Information and Data Science option is unabashedly mathematical, focusing on the foundations of the information and data sciences, across its roots in probability, statistics, linear algebra, and signal processing. These fields all contribute crucial components of data science today.