理学硕士 - 数据科学 - 计算

专业介绍

The Master of Science - Data Science - Computational program's objectives are:

• Provide training in three core components of data science: machine learning, big data analysis and programming for Data Science.
• Provide training in applied statistics, particularly statistical inference.
• Cover applications and contemporary topics in Data Science.

Learning outcomes will allow students to:

• Apply statistical methods for decision making.
• Build and analyze predictive models from data using machine learning and statistical inference.
• Program Data Science applications in high-level languages such as Python and R.
• Analyze large datasets using high-performance computing and distributed computing methods.
• Compare the benefits and drawbacks of contemporary and advanced topics in Data Science.
• Make informed architectural decisions based on a good understanding of how available technologies differ and complement each other and what scalability and consistency trade-offs they provide.

费用与学制

学制（月）

24

学费

30834.0 USD

申请费

0.0 USD