Applied Data Science

• 选择一个专业知识领域的辅修课程, such as another business field, political science, sustainability, biology, psychology, mathematics, or more.
• Take classes at Carnegie Mellon University or the University of Pittsburgh through our agreements with those schools.
• 受益于创新课程，如信息和网络安全, 教学生识别弱点, assess threats, and analyze risk. In Introduction to Data Science, 学生将研究数字技术如何改变商业等行业, music, and healthcare.
• You will leave Chatham fully prepared, 由于在项目管理等需求业务领域的专业发展, Six Sigma, and coding, 以及我们的教师所传达的个性化关注和经验.

Database Management Systems

本课程主要研究数据库管理系统及其在各种信息处理需求中的应用. 学生设计和实现数据库管理系统，同时介绍数据库环境的概念模型，包括五个基本组件:数据库, database management systems, data dictionary/directory systems, database administration, and user-system interfaces.

Data Visualization and Communication

本课程涵盖了可视化数据的不同方法, 给定不同类型和特征的数据. 包括评估和评价现有的数据可视化技术. 当前用于转换数据和可视化数据的工具进行了审查，包括 Python, Google Charts, and Tableau.

Machine Learning and AI

介绍机器学习和算法. Topics include least squares methods, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, graphical models, hidden Markov models, support vector machines, and kernel methods. 包括与大数据问题相关的当前问题.

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