芝加哥大学计算分析和公共政策硕士+ 查看更多
芝加哥大学
计算分析和公共政策硕士
+ 查看更多
- 该项目将公共政策和计算机科学结合在一起,为学生提供分析技能,有利于学生使用现代技术解决重要的社会问题
- 该项目的核心课程建立了计算机科学,统计学和公共政策分析方面的基础知识。学生将完成计量经济学,机器学习,大数据方法,数据可视化和应用程序卡法方面的高级课程。
- 该项目毕业后,学生将成为数据科学家,政策研究员等
项目时长:2年全日制
项目授课地点:美国 伊利诺伊 芝加哥
申请要求
申请流程
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按照要求需要完成18门课,包括至少 7 门 Harris 课程和 6 门计算机科学课程(5 门核心课程 + 1 门选修课)
核心课程:
Math Methods for Public Policy
Coding Lab for Public Policy
Coding Lab for Public Policy
Coding Lab for Public Policy
Data and Programming for Public Policy I-R
Data and Programming for Public Policy I-R
Data and Programming for Public Policy II-R
Data and Programming for Public Policy II-R
Data and Programming for Public Policy II - Python Programming
Data and Programming for Public Policy II - Python Programming
Chart Communications: Telling Stories with Data Visualization
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Statistics for Data Analysis I
Statistics for Data Analysis I
Coding Lab for Public Policy
Coding Lab for Public Policy
Coding Lab for Public Policy
Data and Programming for Public Policy I-R
Data and Programming for Public Policy I-R
Data and Programming for Public Policy II-R
Data and Programming for Public Policy II-R
Data and Programming for Public Policy II - Python Programming
Data and Programming for Public Policy II - Python Programming
Chart Communications: Telling Stories with Data Visualization
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Analytical Politics I: Strategic Foundation
Statistics for Data Analysis I
Statistics for Data Analysis I
选修课:(由于选修课众多,以下仅罗列部分选修课)
C++ for Advanced Programmers
Computer Architecture
Concepts of Programming
Entrepreneurship in Technology
Foundations of Computational Data Analysis
High Performance Computing
Introduction to Computer Security
Introduction to Computer Systems
Introduction to Software Engineering
iOS Application Development
Mathematics for Computer Science: Discrete
Mathematics
Networks
Object Oriented Programming
Python Programming
Web Development
Computer Architecture
Concepts of Programming
Entrepreneurship in Technology
Foundations of Computational Data Analysis
High Performance Computing
Introduction to Computer Security
Introduction to Computer Systems
Introduction to Software Engineering
iOS Application Development
Mathematics for Computer Science: Discrete
Mathematics
Networks
Object Oriented Programming
Python Programming
Web Development
Advanced C+ +
Advanced iOS
Advanced Python Programming
Algorithms
Applied Data Analysis
Applied Software Engineering
Bioinformatics for Computer Scientists
Cloud Computing
Distributed Systems
Full Stack Software Engineering
Introduction to Computer Security
Machine Learning
Mobile Software Development
00 Architecture: Patterns, Technologies, Implementations
Operating Systems
Parallel Programming
Python Programming
Time Series Analysis and Stochastic Processes
Advanced iOS
Advanced Python Programming
Algorithms
Applied Data Analysis
Applied Software Engineering
Bioinformatics for Computer Scientists
Cloud Computing
Distributed Systems
Full Stack Software Engineering
Introduction to Computer Security
Machine Learning
Mobile Software Development
00 Architecture: Patterns, Technologies, Implementations
Operating Systems
Parallel Programming
Python Programming
Time Series Analysis and Stochastic Processes
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