Online/offline courses and content
Online/offline courses and content
Course duration
：8 weeks with two live interactive sessions per week.
Course start date ： Classes start on the 1st of the first month of each quarter
Course content：
▪ Introduction to Qubits and Quantum Algorithms
▪ Quantum computing applications in the financial industry
▪ Use Qiskit programming to implement simple quantum algorithms
Course start date ： Classes start on the 1st of the first month of each quarter
Course content：
▪ Introduction to Qubits and Quantum Algorithms
▪ Quantum computing applications in the financial industry
▪ Use Qiskit programming to implement simple quantum algorithms
Course features： Practical modules are provided, and students can run customized quantum programs through the simulator.
Course duration
：10 weeks with AI technology symposiums (once per month).
Course start date ： Classes start in March and September every year.
Course content：
▪ AI model design and data preprocessing technology
▪ Predictive analysis and deep learning framework practice (TensorFlow, PyTorch)
▪ Financial market data modeling case
Course start date ： Classes start in March and September every year.
Course content：
▪ AI model design and data preprocessing technology
▪ Predictive analysis and deep learning framework practice (TensorFlow, PyTorch)
▪ Financial market data modeling case
Course features： Practical modules are provided, and students can run customized quantum programs through the simulator.
Course duration
： 6 weeks with live code demos to share with experts.
Course start date ： Classes start on the 15th of every month.
Course content：
▪ Blockchain architecture and distributed consensus mechanism
▪ Smart contract design and programming practice (Solidity)
▪ Blockchain application case analysis
Course start date ： Classes start on the 15th of every month.
Course content：
▪ Blockchain architecture and distributed consensus mechanism
▪ Smart contract design and programming practice (Solidity)
▪ Blockchain application case analysis
Course duration
：4 weeks, short intensive course, 5 hours per week.
Course start date ：Classes start on the 10th of every month.
Course content：
▪ Tableau, Power BI and Python data visualization practices
▪ Full-process teaching from data cleaning to chart design
Course start date ：Classes start on the 10th of every month.
Course content：
▪ Tableau, Power BI and Python data visualization practices
▪ Full-process teaching from data cleaning to chart design
Course duration
：12 weeks, including industry forums (live online).
Course start date ： Classes start in February, May and November every year.
Course content：
▪ History and development trends of financial technology
▪ P2P platform, digital payment and asset management technology
Course start date ： Classes start in February, May and November every year.
Course content：
▪ History and development trends of financial technology
▪ P2P platform, digital payment and asset management technology
Course duration
：5 days, held in the last month of each quarter.
Course content：
▪ Strategic data decision-making and business model innovation
▪ Data-driven leadership improvement
▪ Industry case discussions and practical exercises
Exclusive service ： Provide students with one-on-one consultation and customized development plans.
Course content：
▪ Strategic data decision-making and business model innovation
▪ Data-driven leadership improvement
▪ Industry case discussions and practical exercises
Exclusive service ： Provide students with one-on-one consultation and customized development plans.
Course duration
： 3 days, enrollment in batches, held on the first week of every month.
Course content：
▪ Deep quantum algorithm programming and application
▪ Blockchain technology case dismantling and practical operation
▪ Team collaboration simulation and actual combat
Course content：
▪ Deep quantum algorithm programming and application
▪ Blockchain technology case dismantling and practical operation
▪ Team collaboration simulation and actual combat
Course duration
：2 days, held annually in June.
Course content：
▪ Financial Technology Future Trend Report
▪ Global Industry Leaders Roundtable Forum
▪ Interaction between students and industry experts
Course content：
▪ Financial Technology Future Trend Report
▪ Global Industry Leaders Roundtable Forum
▪ Interaction between students and industry experts
Course duration
：1 day, rotating quarterly for regional markets
Course content：
▪ Fintech practices in local markets
▪ Industry norms and regulatory trends
▪ Regional innovative enterprises share successful cases
Course content：
▪ Fintech practices in local markets
▪ Industry norms and regulatory trends
▪ Regional innovative enterprises share successful cases
Exam format
：Offline examination room simulates actual work scenarios.
time schedule ： Held semi-annually in March and September.
Professional certification ： Supports international certification exams such as CFA, CFE, and FRM.
time schedule ： Held semi-annually in March and September.
Professional certification ： Supports international certification exams such as CFA, CFE, and FRM.
Dual-track learning model
Flexible online learning combined with offline immersive experience ensures comprehensive absorption and application of knowledge.
Taught by industry experts
Gathering top international experts from the fields of financial technology, data analysis and quantum computing.
High frequency interactive module
Through case studies, group competitions and practical exercises, students’ sense of participation and learning effects are enhanced.
Global learning platform
Provide multi-language support so that students can learn and communicate in a multi-national cultural environment.
Exclusive learning files
The system records students' learning progress and performance to assist future career development.
Taught by industry experts