【斑马博士捷报】The University of Chicago Master of Science in Analytics 芝加哥大学分析学硕士录取!
恭喜斑马博士客户宝宝斩获The University of Chicago Master of Science in Analytics 芝加哥大学分析学硕士的录取!

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恭喜斑马博士客户宝宝斩获The University of Chicago Master of Science in Analytics 芝加哥大学分析学硕士的录取!斑马博士留学中心专门整理了The University of Chicago Master of Science in Analytics 芝加哥大学分析学硕士的详细的专业解读,供大家参考。



【Offer展示】The University of Chicago Master of Science in Analytics 芝加哥大学分析学硕士 


斑马博士、斑马博士留学中心、The University of Chicago、 Master of Science in Analytics 、芝加哥大学、分析学硕士 


【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



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