芝加哥大学分析学的课程特点：
Analytics Coursework Focuses on:
Acquiring avance proficiency in applying state-of-the-art ata engineering an software skills to support a variety of analytics applications
Learning ata collection an preparation methoologies incluing ientifying relevant ata sources, preparing ata for analytics, an automating the ata preparation process
Gaining an in-epth unerstaning of establishe an state-of-the-art statistical moeling, machine learning, an artificial intelligence techniques
Designing an implementing applie research by using analytics tools relevant to strategic business issues, while working with real ata sets provie by our inustry partners in the Capstone project
Builing effective leaership an communication skills which inclues eveloping impactful, practical solutions an unerstaning the marriage between business an analytics strategy
CORE COURSES
Core courses allow stuents to buil their theoretical analytics knowlege an practice applying this theory to examine business problems. The require Leaership Skills core course teaches how to make the ties between ata analysis learnings an business objectives. Each of the nine core courses is require to earn the Master of Science in Analytics.
MSCA 31001: Research Design for Business Applications
MSCA 31003: Leaership Skills: Teams, Strategies, an Communications
MSCA 31006: Time Series Analysis an Forecasting
MSCA 31007: Statistical Analysis
MSCA 31008: Data Mining Principles
MSCA 31009: Machine Learning an Preictive Analytics
MSCA 31010: Linear an Nonlinear Moels for Business Applications
MSCA 31012: Data Engineering Platforms for Analytics
MSCA 31013: Big Data Platforms
