Environmental Data Science (MS)

专业介绍

USC Dornsife 文理学院与 Viterbi 工程学院联合开设的环境数据科学理学硕士（MS），要求至少 32 学分，学制 2 年。该学位要求累计平均绩点不低于 3.0，课程由数据科学与环境研究两方面的核心课与选修课组成，数据科学部分涵盖人工智能、数据管理、隐私与数据可视化。

datascience.usc.edu Dornsife College of Letters, Arts and Sciences, Environmental Studies Viterbi School of Engineering, Computer Science/Data Science Program Director (Data Science): Yolanda Gil, PhD Program Co-Director (Environmental Studies): John Heidelberg, PhD   A minimum of 32 units with an overall cumulative GPA of at least 3.0 is required. Students can complete the degree in either three or four semesters, depending on whether they take courses in the summer. The proposed curriculum relies on existing courses currently taught at USC. The degree will consist of a set of required core and elective courses in both data science and course related to environmental studies. On the data science side, students will learn about artificial intelligence (particularly machine learning and semantic data models), data management, privacy, and data visualization. Courses in environmental