The four-semester course is 36 credits, including a climax project, in order to reach the climax of the project and connect students with the practice in the real world. During the peak period, students use the analytical techniques they have learned in class to solve the cases put forward by corporate customers in groups.
In class, NYU Shanghai and Stern, the leading teachers of new york University, help students learn complex materials and master the main concepts and methods. It integrates discussions, exercises and simulations related to the theme, which helps to further clarify the course content.
The following are representative sample courses for the 2022-2023 academic year. In a specific year, individual courses may be different.
Summer of 2022 (13.5 credits): Stern, new york University.
Statistics and data analysis (3 credits)
Processing data &; Introduction to Python Programming (3 credits)
Stochastic modeling and simulation (3 credits)
Predictive modeling based on R( 1.5 credits)
Business communication (1.5 credits)
Business Management (1.5 credits)
Fall 2022 (10.5 credits): nyu shanghai.
Advanced course of machine learning (3 credits)
Network Analysis (3 credits)
Market analysis (3 credits)
Unsupervised learning (1.5 credits)
J Period 2023(3 credits): nyu shanghai
Optimization modeling (3 credits)
Spring 2023 (9 credits): nyu shanghai
Top Stone Project (3 credits)
Fundamentals of Financial Technology (3 credits)
Revenue Management and Pricing (3 credits)
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