MS in AI in Business
所属信息
基本信息
项目时长
14 months项目学分
34.5 credits学费估算
$76,000申请截止日期
-
秋季
-
常规
2025/5/1
-
其他
申请信息
申请材料
- 2025.05.01最终轮申请截止
- 2025.06.15前学生需作出最终是否入学的决定
申请要求:
- 无需gre
其他申请要求暂未公布
学费:
- 2025-26学年的学费和费用尚未公布。
- 参考2023-24学年类似课程的学费,全日制研究生学费约为$76,000/年
- 2025.06.15前学生需作出最终是否入学的决定
申请要求:
- 无需gre
其他申请要求暂未公布
学费:
- 2025-26学年的学费和费用尚未公布。
- 参考2023-24学年类似课程的学费,全日制研究生学费约为$76,000/年
特点
罗切斯特大学 人工智能商科 硕士项目,在人工智能驱动的商业教育中处于领先地位。项目旨在将技术培训与实践战略相结合,发展必要的沟通技巧。西蒙商学院的独特课程将严谨的分析与实际的人工智能应用,为学生未来利用人工智能创造商业价值做好准备。学生将获得机器学习和数据分析方面的经验,最终形成一个具有现实影响力的人。
项目优势:
- STEM
- 实习和非实习双选择
- 课程将核心人工智能和分析实践项目相结合
- 获得实践经验
- 西蒙商学院在人工智能驱动的商业教育方面处于领先地位
- 丰富的学术活动
79%
of corporate strategists said AI technology would be critical in the next two years
(Gartner, 2023)
96%
of companies hiring in 2024 say candidates with AI skills will be at an advantage
(Resume Builder, 2023)
40%
expected annual growth in global AI market by 2028 (projected $1 trillion)
(Statista, 2023)
Highlight 课程:
- 分析编程
- 分析设计与应用
- 人工智能与商业
- 经济学与营销策略
- R预测与因果分析
课程设置:
课程要求:
- 要求完成10节必修和3节选修
- 学生需要修34.5个学分,从而完成学业
必修课程:
- Programming for Analytics
- Professional Communication
- Analytics Design and Applications
- Core Statistics for MS Students Using Python
- Economics and Marketing Strategy for MS Students
- AI and Business
- AI Business Project
- Data Management, Warehousing, and visualization
- Social Media and Text Analytics
- AI and Deep Learning
选修课程
- Predictive and Causal Analytics in R
- Accounting and Finance for MS Students
- Pricing Policies
- Operations Management
- Machine Learning for Business Analytics
- Prescriptive Analytics with Python
- Big Data
项目优势:
- STEM
- 实习和非实习双选择
- 课程将核心人工智能和分析实践项目相结合
- 获得实践经验
- 西蒙商学院在人工智能驱动的商业教育方面处于领先地位
- 丰富的学术活动
79%
of corporate strategists said AI technology would be critical in the next two years
(Gartner, 2023)
96%
of companies hiring in 2024 say candidates with AI skills will be at an advantage
(Resume Builder, 2023)
40%
expected annual growth in global AI market by 2028 (projected $1 trillion)
(Statista, 2023)
Highlight 课程:
- 分析编程
- 分析设计与应用
- 人工智能与商业
- 经济学与营销策略
- R预测与因果分析
课程设置:
课程要求:
- 要求完成10节必修和3节选修
- 学生需要修34.5个学分,从而完成学业
必修课程:
- Programming for Analytics
- Professional Communication
- Analytics Design and Applications
- Core Statistics for MS Students Using Python
- Economics and Marketing Strategy for MS Students
- AI and Business
- AI Business Project
- Data Management, Warehousing, and visualization
- Social Media and Text Analytics
- AI and Deep Learning
选修课程
- Predictive and Causal Analytics in R
- Accounting and Finance for MS Students
- Pricing Policies
- Operations Management
- Machine Learning for Business Analytics
- Prescriptive Analytics with Python
- Big Data