Data Analytics and Business Computing NYU Shanghai

Overview

The Data Analytics and Business Computing programs from NYU Shanghai offers a broad yet rigorous curriculum in business (finance, marketing, revenue management, operations), data science (statistics, econometrics, data mining, data visualization), and management science (optimization, stochastic modeling, simulation). 

We emphasize both quantitative and technical methods and their applications in different functional areas in business. Students will benefit from the extensive industry experience of our faculty and seasoned professionials in the field.

Learning Objectives

• Develop data-analytic thinking and acquire knowledge of various quantitative and technical methods to make better business decisions and derive values.

• Learn how to effectively deal with vast amounts of data through the whole data management process, from the initial data acquisition to the final data analysis and presentation.

• Learn various methods and techniques to analyze data to generate business insights and to build predictive models to forecast and simulate future outcomes.

• Learn how to formulate business problems as formal mathematical models and obtain optimal solutions to the formulated models.

• Develop practical skills in programming using programming languages such as Python and R.

• Learn how to apply data analytics, data management and data-driven decision making skills across various functional areas of an organization, including Finance, Marketing and Operations.