![]() 学位要求:12门课程(36学分); GPA 高于3.0 录取要求:BI&A项目为具有数学,经济,工程和计算机科学学术背景的学生设计。GMAT或者GRE成绩满足学校要求——国内外学生。 国际学生,或者英语为第二语言的学生,托福成绩应在85以上。所有史蒂文斯录取的学生入学后将在报到周进行英语测试。根据学生测试所得分数分为70,80和90班。分班将决定学生第一学期的选课数量。对于90班的学生,第一学期可以选3门或者3门以上的课程(4门为上限)。80班的学生在指导教授同意的情况下可以选3门以上的课程。70班的学生第一学期只能选择两门课程。 录取是滚动进行的,学生可以在一年的任何时间申请。 课程设置: BI&A的十二门课程紧密围绕在六个与BI&A相关的领域。课程为实践性课程,应用课程内容解决实际问题。口语和书面交流能力,分析能力和在道德范围内解决问题的能力是项目的培养方向。 Organizational Context MGT 615 Financial Decision Making Data Management MIS 630 Strategic Data Management MIS 636 Data Warehousing & Business Intelligence Optimization and Risk Analysis BIA 650 Process Analytics and Optimization BIA 670 Risk Management: Methods and Applications Statistics BIA 652 Multivariate Data Analytics BIA 654 Experimental Design Data Mining and Machine Learning MIS 637 Knowledge Discovery in Databases BIA 656 Statistical Learning & Analytics * Social Network Analytics BIA 658 Social Network Analytics (cross-listed with MIS 669) BIA 660 Web Analytics* Management Applications BIA 672 Customer Analytics* BIA 674 Supply Chain Analytics* Practicum BIA 686 Applied Analytics in a World of Big Data * Choose two out of these four courses with permission of an advisor. During the practicum, students will work closely with a company on specific real applications, perhaps as part of an internship program. 选修课 选修课提供给有资格免上一节或多节必修课的学生(例如MGT 615).学生从以下选修课中选择: Computer Science CS 506 Introduction to IT Security CS 538 Visual Analytics CS 559 Machine Learning CS 578 Privacy in a Networked World CS 581 Online Social Networks CS 586 Machine Learning for Gaming SOC 653 Introduction to Text Mining and Statistical Natural Language Processing Financial Engineering Many Financial Engineering courses are available to BI&A students Information Systems MIS 760 IT Strategy MIS 730 Integrating IT Architecture MIS 661 Marketing Online 国际学生也可以选择CPT课程(BIA 702),内容涵盖课程相关实践内容。学生参与学术相关的公司项目,并在行业上级和管理人员的监督下进行。 (责任编辑:admin) |