• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

在这里学什么？

The MS in Analytics is designed to satisfy the growing demand for professionals equipped with significant technical and quantitative training in the fundamentals of analytics for solving engineering and management problems in today’s data-extensive digital world.

Analytics is a multidisciplinary field that relates the application of engineering approaches and methods to the analysis and management of engineering and enterprise processes based on data. Learning objectives of this program involve data collection, cleansing, fusing and curating, for the purpose of analyzing trends, discovering patterns and building decision models for well-reasoned decision support. Rigorous mathematical modeling and computational methods tools are at the heart of the program.

Graduates of this program will be prepared to convert data into meaningful information, embedded in decision support systems that can help organizations make important operational decisions and help set strategic direction and policy.

A minimum of 30 units is required for the MS in Analytics degree

Required courses (15 units):

INF 559 – Introduction to Data Management

INF 529 – Predictive Analytics

ISE 530 – Optimization Methods for Analytics

ISE 533 – Integrative Analytics

ISE 562 – Value and Decision Theory

ISE 538 or ISE 580

Elective courses: 1 ISE elective and 1 INF or CSCI elective – 6 units

Advisor-approved elective courses: 6 units

A minimum cumulative GPA of 3.00 is required for graduation.

所属院系

进入哪个院系学习？ USC Viterbi School of Engineering

中国学生入学要求

为来自中国的学生设计 Applicants must have a Bachelor degree earned at an institution recognized by the Ministry of Education. English language requirement: TOEFL: 90 or above, with 20 or above in each section; IELTS: 6.5 or above, with 6 or above on each band.

课程信息

学制：全日制(MINIMUM OF 30 UNITS)

学费：

开学时间：2022九月8日

申请截止日期：

留学地点：University of Southern CaliforniaUniversity Park Campus,LOS ANGELES,California,90089, United States