【学校介绍】 芝加哥大学（The University of Chicago），2019-20年度，芝加哥大学位列US News美国大学排名第6，在泰晤士高等教育世界大学排名中位列世界第9，在软科世界大学学术排名、QS世界大学排名中均位列世界第10，在U.S. News世界大学排名中位列世界第13。
【专业解读】Building from a core in applied statistics, the Master of Science in Analytics (MScA) provides students with advanced analytical training to develop the ability to draw insights from big data and build automated artificial intelligence systems.The MScA program is highly applied in nature, integrating business strategy, project-based learning, simulations, case studies, and specific electives addressing the analytical needs of various industry sectors. Relationships with corporate partners provide students with access to real data sets and the opportunity to address current business issues. Beyond the classroom, these corporate partnerships also provide valuable networking opportunities and career connections.（摘录自官网）
【必修课程】
Introduction to Statistical Concepts
Research Design for Business Applications
Leadership Skills: Teams, Strategies, and Communications
Time Series Analysis and Forecasting
Statistical Analysis
Data Mining Principles
Machine Learning and Predictive Analytics
Linear and Nonlinear Models for Business Application
Data Engineering Platforms
Big Data Platforms
Advanced Python for Streaming Analytics
Advanced Machine Learning and Artificial Intelligence
Natural Language Processing and Cognitive
Real Time Intelligent Systems
Reinforcement Learning and Advanced Optimization
Capstone Project Implementation
Capstone Project Writing
SAS Workshop
Hadoop Workshop
Linux Workshop
Python Workshop
R Workshop
Programming for Analytics
Deep Learning & Image Recognition
Advanced Optimization
Ethics in Big Data Analytics
Python for Analytics
Analytics Practicum
【选修课程】
Financial Analytics
Marketing Analytics
Credit and Insurance Risk Analytics
Real Time Analytics
Data Visualization Techniques
Health Analytics
Linear Algebra and Matrix Analysis
Optimization and Simulation Methods for Analytics
Bayesian Methods
Digital Marketing Analytics in Theory and Practice