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HKU Advanced Technology Fellowship Programme 
Academic Team
Application Procedures
English
Course Introduction
The HKU Musketeers Foundation Data Science Institute (HKU IDS) has launched the inaugural “HKU Advanced Technology Fellowship Programme” (“The Programme”). The Programme aims to nurture a robust talent pool of innovative technology leaders, equipping them with the necessary skills to navigate the dynamic, AI-driven industrial landscape. Leveraging the University’s leading position in sci-technological research among higher education institutions in Asia and in the globe, the initiative realizes HKU IDS’s mission to facilitate institutional collaboration, and to turn data science into innovation and technological developments that benefit society, particularly in Hong Kong and mainland China.

This Programme comprises of 10 comprehensive modules, harnessing the pinnacle of scientific and technological resources from HKU and prestigious institutions such as Stanford University, University of California at Berkeley, and the National University of Singapore. The major objective of the Programme is to offer entrepreneurial fellows a wider spectrum of learning experiences that amalgamate the progression of industry, scientific research, and business strategies, thus enable them to become more internationally competitive.

Throughout this Programme, students will have the unique chance to engage in profound interactions with globally recognized entrepreneurs, data scientists and academic mentors in various areas ranging from business, biomedicine and health, smart societies and new technology development in AI and emerging cutting-edge fields.

Course Features – From A to E
Advanced technological landscapes and strategies: Senior mentors from academia to lead thematic research.
Beyond innovation: Practical site-visits and research in partnering enterprises.
Cutting-edge ecosystem at a glance: Aggregation of innovation and sci-tech resources tailored for current needs of enterprises.
Devoting into novel data science research topics: Lectures and mentorship given by top scientists and academicians who are leading in the fields.
Earning and gaining: To be awarded the “Corporate Researcher” certificate by HKU IDS.

Module 1: Hong Kong
AI Empowerment: Reshaping the Development Blueprint for New Quality Productive Forces
Module 2: Hong Kong
Leading the Future: FinTech and Web 3.0
Module 3: Hong Kong
Global Capital: Empowering New Developments in Innovation and Technology
Module 4: Guangdong-Hong Kong-Macau Greater Bay Area
Energy Revolution: Green Transformation for Carbon Neutrality-leading Enterprises
Module 5: Hong Kong
Cutting-Edge Technology: New Paradigms in Biomedicine and Health Business Intelligence Development
Module 6: Yangtze River Delta
Industry Outlook: AI Intelligence and Data Assets
Module 7: Hong Kong
International Perspective: AI-Driven New Industrial Revolution
Overseas Module: USA
Landscape of Global Business Environment
Overseas Module: Middle East
New Engines of Innovation and Growth
Overseas Module: Southeast Asia
New Patterns of Asia-Pacific Business Environment and the “Go-Global” Strategies
* The above course content is for reference only. The final course content will be subject to actual arrangements by our academic mentors and HKU IDS reserves the right to changes and amendments.
Programme Details
Start date: December 2024

Locations: Hong Kong / The Greater Bay Area/ Yangtze River Delta

Overseas module: United States / Middle East / Southeast Asia

Duration of study: 26 months, with 20 months of core modules and 6 months for N modules + research repor

Course fees: Please send an enquiry to HKU IDS for more details at (atfp@hku.hk)

Medium of instruction: Chinese & English (with simultaneous interpretation)

Teaching method: Face-to-face

Target Audience
Directors or leaders of large companies in high-tech industries
Investors with strategic vision on industrial investment and landscape
Traditional entrepreneurs who plan to transition to high-tech industries
Financiers who are keen on emerging industrial development and investment opportunities
Fellowship Certificate
Upon completion of the Programme, which includes a thesis evaluation, HKU IDS will officially award the HKU Advanced Technology Fellowship Certificate.
The list of awarded fellows will be announced on the official website of HKU IDS, as a recognition of their outstanding achievements.
As our esteemed Corporate Researcher, the fellow will be given an opportunity to gain additional consultation on research development by collaborating with academic mentors from various faculties at HKU on technology transfer and investment, including priority access to academic resources such as passes to academic activities hosted by HKUIDS.
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Collaboration: Shanghai AI Lab

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© 2024 – HKU Musketeers Foundation Institute of Data Science. All rights reserved.

HKU Home | Careers at IDS | Contact Us

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HKU Musketeers Foundation Institute of Data Science
About
People
Research
Study
News and Events
Contact Us
IDS Intranet
Search
Search…

HKU Advanced Technology Fellowship Programme
Academic Team
Application Procedures
English
Leading Instructors

Z. Max SHEN
Vice-President and Pro-Vice-Chancellor (Research),
Chair Professor of Logistics and Supply Chain Managemen
Dean, Graduate SchoolThe University of Hong Kong

Yi MA
Director, HKU Musketeers Foundation Institute of Data Science
Inaugural Director, School of Computing and Data Science
Chair of Artificial Intelligence
The University of Hong Kong

Zexiang LI
Director, Hong Kong Center for Construction Robotics
Professor, Department of Electronic and Computer Engineering
The Hong Kong University of Science and Technology
The list of leading instructors is continuously updated and ranked in no particular order.
Academic Instructors

Chi-Ming CHE
Zhou Guangzhao Professorship in Natural Sciences & Professor 
Chair of Chemistry
Member, The Chinese Academy of Sciences
Foreign Associate, Natural Academy of Sciences (USA)
Founding Member, The Hong Kong Academy of Sciences

Paul Kwong Hang Tam
Vice President of Macau University of Science and Technology
Chair of Paediatric Surgery, The University of Hong Kong
Member, The Hong Kong Academy of Sciences
Former Provost and Deputy Vice-Chancellor, The University of Hong Kong

Ning XI
Head, Department of Data and Systems Engineering
Chair Professor of Robotics and Automation
Director of Emerging Technologies Institute
The University of Hong Kong

Dongyan JIN
Clara and Lawrence Fok Professor in Precision Medicine
Senior Associate Dean, Graduate School
Associate Director (Grants and Collaborations), School of Biomedical Sciences
The University of Hong Kong
The list of academic instructors is continuously updated and ranked in no particular order.
Industrial Instructors

The list of industry mentors is continuously updated and ranked in no particular order.
Emerging Technology Leaders
The list of instructors above is continuously updated and ranked in no particular order.
HKU Musketeers Foundation Institute of Data Science
Linkedin
Twitter
Instagram
Facebook
Youtube
About

Overview

Governance

Mission and Vision

About our Benefactor

Message from the Director

IDS Premises

People

HKU IDS Scholars

Seminar Committee

Research Staff

RPg Students

Supporting Staff

Research

Frontier Research

IDS Research Seed Funds

Research Assistant Professor Scheme

Collaboration: Shanghai AI Lab

Awards

Study

Research Postgraduate Programme

Summer Programme for UG

Summer Programmes for PG

News and Events

Upcoming Events

All News and Events

Seminars

Symposia and Conferences

e-Newsletter

IDS News Sign-up

© 2024 – HKU Musketeers Foundation Institute of Data Science. All rights reserved.

HKU Home | Careers at IDS | Contact Us

Successfull copy image

English
Application
Via referral or invitation; applicant should submit the completed Application Form to the programme team.
Application Form 
Interview
Shortlisted applicants will receive an interview notification. The applicant must attend the on-site interview in person.
Evaluation
The programme team will further assess the application based on the submitted material and interview performance.
Admission
After passing the evaluation, the successful applicants will receive an admission notice and a payment notification. Applicants are required to make full payment for the tuition fee.

(in Chinese only)

Course Introduction

The HKU Musketeers Foundation Data Science Institute (HKU IDS) has launched the inaugural “HKU Advanced Technology Fellowship Programme” (“The Programme”). The Programme aims to nurture a robust talent pool of innovative technology leaders, equipping them with the necessary skills to navigate the dynamic, AI-driven industrial landscape. Leveraging the University’s leading position in sci-technological research among higher education institutions in Asia and in the globe, the initiative realizes HKU IDS’s mission to facilitate institutional collaboration, and to turn data science into innovation and technological developments that benefit society, particularly in Hong Kong and mainland China.

This Programme comprises of 10 comprehensive modules, harnessing the pinnacle of scientific and technological resources from HKU and prestigious institutions such as Stanford University, University of California at Berkeley, and the National University of Singapore. The major objective of the Programme is to offer entrepreneurial fellows a wider spectrum of learning experiences that amalgamate the progression of industry, scientific research, and business strategies, thus enable them to become more internationally competitive. 

Throughout this Programme, students will have the unique chance to engage in profound interactions with globally recognized entrepreneurs, data scientists and academic mentors in various areas ranging from business, biomedicine and health, smart societies and new technology development in AI and emerging cutting-edge fields. 

Course Features – From A to E

AI Empowerment: Reshaping the Development Blueprint for New Quality Productive Forces
Leading the Future: FinTech and Web 3.0
Global Capital: Empowering New Developments in Innovation and Technology
Energy Revolution: Green Transformation for Carbon Neutrality-leading Enterprises
Cutting-Edge Technology: New Paradigms in Biomedicine and Health Business Intelligence Development
Industry Outlook: AI Intelligence and Data Assets
International Perspective: AI-Driven New Industrial Revolution
Landscape of Global Business Environment
New Engines of Innovation and Growth
New Patterns of Asia-Pacific Business Environment and the “Go-Global” Strategies
* The above course content is for reference only. The final course content will be subject to actual arrangements by our academic mentors and HKU IDS reserves the right to changes and amendments.

Programme Details

Start date: December 2024

Locations: Hong Kong / The Greater Bay Area/ Yangtze River Delta

Overseas module: United States / Middle East / Southeast Asia

Duration of study: 26 months, with 20 months of core modules and 6 months for N modules + research repor

Course fees: Please send an enquiry to HKU IDS for more details at (atfp@hku.hk)

Medium of instruction: Chinese & English (with simultaneous interpretation) 

Teaching method: Face-to-face  

Target Audience

Fellowship Certificate

Leading Instructors

Z. Max SHEN
Vice-President and Pro-Vice-Chancellor (Research),
Chair Professor of Logistics and Supply Chain Managemen
Dean, Graduate SchoolThe University of Hong Kong
Yi MA
Director, HKU Musketeers Foundation Institute of Data Science
Inaugural Director, School of Computing and Data Science
Chair of Artificial Intelligence
The University of Hong Kong
Zexiang LI
Director, Hong Kong Center for Construction Robotics
Professor, Department of Electronic and Computer Engineering
The Hong Kong University of Science and Technology
The list of leading instructors is continuously updated and ranked in no particular order.

Academic Instructors

Chi-Ming CHE
Zhou Guangzhao Professorship in Natural Sciences & Professor
Chair of Chemistry 
Member, The Chinese Academy of Sciences
Foreign Associate, Natural Academy of Sciences (USA)
Founding Member, The Hong Kong Academy of Sciences
Paul Kwong Hang Tam
Vice President of Macau University of Science and Technology
Chair of Paediatric Surgery, The University of Hong Kong
Member, The Hong Kong Academy of Sciences
Former Provost and Deputy Vice-Chancellor, The University of Hong Kong
Ning XI
Head, Department of Data and Systems Engineering
Chair Professor of Robotics and Automation
Director of Emerging Technologies Institute
The University of Hong Kong
Dongyan JIN
Clara and Lawrence Fok Professor in Precision Medicine
Senior Associate Dean, Graduate School
Associate Director (Grants and Collaborations), School of Biomedical Sciences
The University of Hong Kong
The list of academic instructors is continuously updated and ranked in no particular order.

Industrial Instructors

Sheng FU
CEO and Chairman, Cheetah Mobile
Yong RUI
Chief Technology Officer and Senior Vice President of Lenovo Group
Qiang WANG
Co-founder of ZhenFund
Xiaogang WANG
Co-founder of SenseTime
Professor, Department of Electronic Engineering, The Chinese University of Hong Kong
Xiaodong HE
Vice President of JD.com
Zhengyou ZHANG
Director of Tencent AI Lab
Han FANG
CEO, Kunlun Tech.
Victor JIANG
Co-Director, Deutsche Bank AG Asia Pacific TMT
Ke LIU

Foreign Member of the Australian Academy of Technological Sciences and Engineering

Shaokang LIANG

Founder, Amperex Technology Limited

Kaifu LI

Chairman and CEO, Sinovation Ventures

Feng XIAO

Vice Chairman and Executive Director, China Wanxiang Holdings Ltd.

Xinjun LIANG

Co-founder, Fosun Group

Tao MEI?
Deputy Director of the Hefei Institute of Physical Science, Chinese Academy of Sciences
Vice Chairman of the Youth Union of the Chinese Academy of Sciences
Haici CHEN?
CEO, Kunlun Tech.
The list of industry mentors is continuously updated and ranked in no particular order.

Emerging Technology Leaders

Chao HUANG
Assistant Professor, The HKU Musketeers Foundation Institute of Data Science and the School of Computing & Data Science, HKU
Tao YU
Assistant Professor, The HKU Musketeers Foundation Institute of Data Science and the School of Computing & Data Science, HKU
Yanchao YANG
Assistant Professor, The HKU Musketeers Foundation Institute of Data Science and the Department of Electrical and Electronic Engineering, HKU
Hongyang LI
Assistant Professor, The HKU Musketeers Foundation Institute of Data Science
The list of instructors above is continuously updated and ranked in no particular order.
Via referral or invitation; applicant should submit the completed Application Form to the programme team.
Shortlisted applicants will receive an interview notification. The applicant must attend the on-site interview in person.
The programme team will further assess the application based on the submitted material and interview performance.
After passing the evaluation, the successful applicants will receive an admission notice and a payment notification. Applicants are required to make full payment for the tuition fee.