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芝加哥大学分析学硕士有哪些课程?据托普仕小编了解,芝加哥大学分析学硕士共需修读:2门基础课程、9门核心课程、2门选修课程和2门capstone课程。接下来小编将为你详细介绍。
基础课程
线性代数与矩阵分析MSCA 32010: Linear Algebra and Matrix Analysis
分析编程语言MSCA 37010: Programming for Analytics (noncredit)
核心课程
应用商业研究设计MSCA 31001: Research Design for Business Applications
领导技能:团队、战略与沟通MSCA 31003: Leadership Skills: Teams, Strategies, and Communications
时间序列分析与预测MSCA 31006: Time Series Analysis and Forecasting
统计分析MSCA 31007: Statistical Analysis
数据挖掘原理MSCA 31008: Data Mining Principles
机器学习与预测分析MSCA 31009: Machine Learning and Predictive Analytics
线性与非线性模型及其商业应用MSCA 31010: Linear and Nonlinear Models for Business Applications
分析数据工程平台
MSCA 31012: Data Engineering Platforms for Analytics
大数据平台MSCA 31013: Big Data Platforms
选修课程
财务分析MSCA 32001: Financial Analytics
营销分析MSCA 32003: Marketing Analytics
信用与保险风险分析MSCA 32004: Credit and Insurance Risk Analytics
实时分析MSCA 32005: Real Time Analytics
数据可视化技术MSCA 32007: Data Visualization Techniques
健康分析MSCA 32009: Health Analytics
分析的优化与模拟MSCA 32013: Optimization and Simulation Methods for Analytics
贝叶斯方法MSCA 32014: Bayesian Methods
数字营销分析理论与实践MSCA 32015: Digital Marketing Analytics in Theory and Practice
高级机器学习与人工智能MSCA 32017: Advanced Machine Learning and Artificial Intelligence
自然语言处理与认知计算MSCA 32018: Natural Language Processing and Cognitive Computing
实时智能系统MSCA 32019: Real Time Intelligent Systems
强化学习与高级优化MSCA 32020: Reinforcement Learning and Advanced Optimization
Capstone项目
实践MSCA 34000: Capstone Project Implementation
写作MSCA 34001: Capstone Project Writing
以上讲的就是芝加哥大学分析学硕士有哪些课程介绍,希望能给各位赴美留学的学子们指点迷津。托普仕留学可以为你排忧解难,同时,更多关于赴美留学的相关资讯在等着你,绝对让你“浏览”忘返。在此,衷心祝愿各位学子们能够顺利奔赴自己心目中理想的学校并且学业有成!
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