Programme Overview
The “FinTech Master” programme offers participants a deep dive into the world of rapidly changing financial technology sector, exploring how data storytelling and data management drive decision-making and innovation, and looking into Insurtech and electronic payment systems.
As the influence of generative AI grows, participants will learn how AI automates financial processes and enhances payment solutions, and will also learn to use Python, which is commonly used in FinTech, for data analysis and automation. Through interactive lessons, practical projects, and case studies, participants will be equipped with the essential skills for navigating the rapidly evolving FinTech landscape, preparing them for further studies and careers.
Programme Highlights
- The first-ever training programme in Hong Kong combining FinTech and data-driven thinking for secondary school students
- Visits to FinTech pioneers like Ant Bank (Hong Kong)
- Identify gaps and see the full picture of problems through effective data management and analytical skills in the context of FinTech
- Learn how to tell a convincing story with a good sense of audience awareness and well-structured presentation with the aid of concrete insights extracted from data analysis
- Apply fundamental programming languages such as Python with generative AI as a supporting tool
Programme Content
- Team-Building Activities
- FinTech Workshops
- Company Visits
- Learning Achievements Sharing Session
Programme Details
Language : English
Eligibility :
- S3 to S6 (Y9 to Y13) students who are interested in pursuing studies related to the finance or technology industries, or who have an interest in data analysis and data management.
- Competent in English communication
Dates: 28 to 31 December 2024 (4-day, 3-night)
Application Deadline:
Early Bird: 1 December 2024 (Sun)
Regular: 15 December 2024 (Sun)
Programme Overview
In today's highly competitive environment for further education and employment, how secondary school students can prepare in advance has become a significant challenge. The “Med-AI Explorer” programme focuses on the two popular fields of medicine and Artificial Intelligence, covering skills training oriented towards further education and employment. This includes using storytelling techniques to captivate interviewers, preparing for mock interviews, and developing confident and positive demeanor and posture. Upon completion, participants will be well-equipped to handle various types of admission interviews, whether in specialised academic subjects or in-demand fields like medicine or AI, with ease.
Programme Highlights
- Visit the HKU Li Ka Shing Faculty of Medicine and the UST Department of Computer Science and Engineering. Participate in lectures delivered by university professors, experience virtual anatomy with VR, and explore how AI is applied in the fields of medicine, computer science and engineering
- A full scholarship recipient from the Lee Kuan Yew School of Public Policy at the National University of Singapore will personally impart interview techniques and conduct mock interviews to enhance participants' on-the-spot responsiveness
- Develop storytelling skills to stand out in academic or job interviews and effectively prepare for future pursuits
- Carry out self-assessment to understand one's career preferences and related occupations, while learning how to create a CV
Programme Content
- Career Interest Assessment
- Taster Lectures and Workshops
- The Local Trends in Medical and AI
- Interview Skills Workshops
‧Holland Code Career Test
‧Storytelling in Interview
‧Professional Image and Etiquette
‧CV Photo Shoot
Programme Details
Language: English
Eligibility:
- S3 to S6 (Y9 - Y13) students who wish to improve their interview skills and are interested in pursuing popular subjects such as medicine or technology
- Competent in English communication
Dates: 24-27 January 2025 (4-day, 3-night)
Application Deadline:
Early Bird: 29 December 2024 (Sun)
Regular: 12 January 2025 (Sun)
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Equiry
Tel: (852) 2169 0255 I WhatsApp: (852) 6796 7693 I E: SD@leadershipinstitute.hk