MS. in Data Science
哥伦比亚大学的数据科学硕士项目开设在数学科学研究所Data Science Institute (DSI)。DSI成立于2012年，集合了哥伦比亚大学在计算机科学，统计学，工业工程与运筹等方面的优势资源，由统计系，计算机系和工业工程与运筹系的教授联合授课，学生有机会进行原创研究，进行实习以及与世界顶级的教授等互动学习。DSI的教授的研究方向集中在气候，健康，社会公平，商业与金融，以及数据科学基础等领域，根据自己的兴趣，进行选课以及与相关领域的教授进行科研项目。
课程设置
计算机科学学科课程
Computer Systems for Data Science
Machine Learning for Data Science
Algorithms for Data Science
工程学科课程
Data Science Capstone and Ethics
统计学科课程
Probability and Statistics for Data Science
Exploratory Data Analysis and Visualization
Statistical Inference and Modeling
选修课
Topics in Computer Science: Applied Machine Learning
Topics in Computer Science: Applied Deep Learning
Topics in Computer Science: Causal Inference for Data Science
Topics in Computer Science: Data Analytics Pipeline
Topics in Computer Science: Elements of Data Science
Topics in Computer Science: Machine Learning with Probabilistic Programming
Natural Language Processing: Computational Models of Social Meaning
Topics in Information Processing: Deep Learning for Computer Vision, Speech, and Language
Topics in Operations Research: Personalization Theory & Application
Topics in Quantitative Finance: Big Data in Finance
Topics in Modern Statistics: Applied Machine Learning for Financial Modeling and Forecasting
Topics in Modern Statistics: Applied Machine Learning for Image Analysis
Cross-Registration Instructions for Non-Data Science Students
毕业生就业情况非常理想，亚马逊，阿里巴巴，百度，苹果，华为，滴滴等等都有校友。
