• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

The data science revolution is changing how we use statistical analysis to address important social questions. In this flexible-credit program, you will learn advanced quantitative research techniques and apply them to critical policy issues across the social, behavioral, and health sciences, preparing for a career as an applied statistician or data scientist or for doctoral study.

Concentrations You will tailor your studies in one of our concentrations to meet your particular interests in the field of applied statistics.

Data Science for Social Impact

Prepare to build research-practice partnerships, become knowledgeable of ethical concerns surrounding data collection and use, and communicate effectively and succinctly research findings and their implications. This is one of the first degree programs in the world to focus on the real-world challenges of using data to inform policy and practice.

Computational Methods

You will experience more rigorous training in methodological theory and development, which is particularly appropriate if you wish to progress to a PhD program in statistics, economics, or computer science.

General Applied Statistics

This concentration offers maximal flexibility, allowing you to customize your studies by selecting from a broad set of statistics and related courses. You can pursue careers in industry, research, and doctoral programs that are consistent with your course work and internship experiences.

• Careers and Outcomes

Prepare for a career as an applied statistician and data scientist in the private or public sector, working in fields such as psychology, education, political science, public policy, media research, and healthcare. You'll also be ready for further academic study in a variety of academic disciplines that require quantitative analysis.

You'll be prepared to:

• Help shape the design of a research project or study
• Play an important role in implementing the study or survey
• Be responsible for collecting, organizing, and analyzing the data from various primary and/or secondary resources
• Help develop guidelines or protocols for collecting the data and extrapolating findings from the data
• Work with sophisticated data management and statistical software to undertake your analyses and write reports on your findings
• Explain past behavior, identify likely outcomes and scenarios, explore future trends, and make projections

所属院系

中国学生入学要求

课程信息

学制：全日制(34-44 学分)

学费：US$45,660.00 (¥ 290,484) /年

开学时间：预计在五月, 八月 2022

申请截止日期：

留学地点：Steinhardt School of Culture Education and Human Development383 Lafayette Street,New York,10003, United States