Ⅰ. Introduction of the Program

MIT has launched the Fintech with Business Analytics Summer Program, which include core theory courses, cutting-edge practical application and case analysis to enable students to acquire cutting-edge theoretical knowledge and industry dynamics, and master a wealth of practical cases of business analysis and application and technical innovation cases of fintech. Upon completion of the project, students will receive a project certificate and report issued by the official teaching team.

Ⅱ. Course Introduction

Fintech and Business Analysis Program includes core theory courses, cutting-edge practical applications, case studies and other modules, enabling students to acquire cutting-edge theoretical knowledge and industry dynamics, and master a wealth of practical cases of business analysis application and technical innovation cases of fintech.

1. Teaching Form

The project will be carried out through online live broadcast, including courses, Q&A, practical guidance and scientific research practice projects. Different from the single model of traditional online courses, the Fintech and Business Analysis Program provides a wealth of practical projects and research cases. Students will complete individual projects and group projects under the guidance of teaching teams where professors will conduct online tutorials on practical projects and research cases, and provide one-on-one guidance on difficult problems, including R language, code implementation, the practical application of analysis software, etc. It is designed to combine what students have learned with cutting-edge practice to ensure practical application and enhance students' practical and scientific research abilities.

2. Teaching Team

The program is taught by professors and researchers who have rich teaching and research experience in fintech, business analytics, quantitative investment from MIT Sloan School of Management.  The core members include:

Prof. Hui Chen, Professor and Chair of the Department of Economics and Finance at MIT Sloan School of Management, where he teaches courses in finance and business analysis. His research focuses on asset pricing and its connection to corporate financing, the analysis of the impact of incomplete markets on start-up financing and investment, and the exploration of the possibility of integrating analytical tools such as machine learning with economic theory.

Prof. Alex Bravo, Professor at MIT Sloan School of Management, where he teaches business analysis and is a senior economic Advisor to the Chilean government. His research focuses on the impact of fintech on emerging economies, including financial economics, risk management and investment portfolios.

Prof. Kogan, Professor at MIT and Teacher at the Wharton School of Business.  His research interests include behavioral finance and asset pricing, investment decisions and blockchain technology.

Also, there will also be bilingual teaching assistants to help you study.

3. Course Syllabus

         ML revolution in finance 

         Build a lending robot 

         Avoid the big trap in financial ML 

         Financial ML in economics 

         Quantitative investment with business analytics

         Predictive analysis 

         Blockchain 

         Original & new types of cryptocurrencies 

4. Practical Application

Practical projects and case studies are very important parts of the project. The tutorial part of this project will lead students to design applicable cases of business analysis in fintech based on R language, SQL and machine learning model, including establishing cutting-edge application practice projects and analysis cases in the fintech industry such as loan robot, portfolio and risk assessment. This will help students master the skills of business analysis and its application in fintech through a complete practical and analytical process.

5. Schedule

The program is designed to last for 4 weeks from July 25 to August 19, 2022.  The daily live broadcast runs from 9 am to 11 am (Beijing time).

There are 48 class hours in total, of which Lecture account for about 50%, Q&A account for about 15%, and Tutorial & Project account for about 35%.

Ⅲ. Program Gaining

Students who pass the project assessment will receive the project certificate and performance report issued by the official teaching team, which will comprehensively improve their global competence.

Excellent students can have the opportunity to ask the teachers for recommendation letters and the opportunities of being laboratory research assistant, doctor, postdoctoral, etc. Excellent project achievements can be used to apply for the research paper guidance project.

Ⅳ. Program Fees and Application

Fee: RMB 11900 yuan/person, students of BNUBS can receive a scholarship of USD 300 (2000 yuan), which will be deducted or reduced directly at the time of registration.

Application Link: https://jinshuju.net/f/NuLo0Y

Application deadline: May 30,  2022

For more information, please contact: Teacher Shang,  58802691，syh@bnu.edu.cn