Bachelor of Arts and Bachelor of Engineering
in Artificial Intelligence and Data Science
Programme Introduction
The future of our world lies at the intersection of technology and humanity
From Big Tech companies, banks, insurers, institutional investors, and FinTech companies, to the consulting industry, the culture and creative industry, the gaming industry, and governments, everyone wants people who can bring cutting-edge technologies and profound humanistic insights together, not to mention the boundless opportunities in the startup world.
Jointly supported by the new School of Computing and Data Science and the Faculty of Arts and with a unique emphasis on application-driven internships and projects at industry partners and research institutions, this Programme is designed to raise highly sought-after future leaders.
CODE 6298 STUDY PERIOD 5-year ABBREVIATION BA&BEng(AI&DataSc) FACULTY Faculty of Arts & Faculty of Engineering
What You'll Learn
The curriculum is carefully designed to provide both breadth and depth. Students will master advanced knowledge in:
Artifical Intelligence
Students gain a solid foundation in the science and engineering of intelligent systems. They study how algorithms learn, reason, and act, exploring models that enable perception and autonomous decision-making. The programme links theoretical rigor with applied innovation, preparing graduates to design and advance next-generation AI technologies.
Data Science
Students develop strong analytical and computational thinking. They learn to extract patterns from complex data, model uncertainty, and turn information into actionable insight. With training in quantitative reasoning and computational design, they are equipped to lead data- driven innovation across science and technology.
Humanities
The humanities form an equal academic field alongside engineering. Students explore how meaning and value are created, and how artificial intelligence transforms human experience. This critical perspective enables graduates to connect human insight with technological vision and to lead with reflection and responsibility in an AI-driven world.
Real-World Experience
Learning goes beyond the classroom. Students will benefit from internships with leading technolotgy firms, financial institutions, consulting companies, and research centres, gaining first-hand exposure to the industries shaping the future.
Graduates will enjoy unparalleled career flexibility and long-term growth prospects. Traditional pathways include roles such as AI developer, software engineer, data scientist, data engineer, and machine learning specialist. Yet the programme also prepares students for dynamic careers at the intersection of technology and society: investment banking, fintech innovation, management consulting, cultural and creative industries, technology entrepreneurship, policy development, and AI ethics consultancy. With their dual expertise, graduates will be uniquely positioned to shape industries, influence public debate, and lead organisations where technology meets human needs.
What's New
Discover upcoming talks, panels, internships, and research showcases at the intersection of technology and the humanities.
People
Meet the interdisciplinary team behind BA&BEng(AI&DataSc)—scholars and practitioners at the forefront of AI, data science, and the humanities.
Programme Team
Professor Boris BABIC
Programme Directors (Arts)
Professor Ruibang LUO
Programme Director (CDS)
Dr. Kangyu Wang
Lecturer
Advisory Board Members
Internal
Professor Rachel Sterken
Chairperson of the Department of PhilosophyAssociate Dean in the Faculty of Arts
Internal
Professor Herman Cappelen
Chair Professor of PhilosophyDirector of AI & Humanities Lab
Internal
Professor Ma Yi
Professor, Chair of Artificial Intelligence; Director of School of Computing and Data Science (HKU CDS); Director of HKU Musketeers Foundation Institute of Data Science (HKU IDS); Professor, Department of Electrical Engineering and Computer Sciences, UC Berkeley
Internal
Professor Zhiwu Chen
Chair Professor of Finance Cheng Yu-Tung Professor in Finance, Director, Centre for Quantitative History, Director, Hong Kong Institute for Humanities and Social Sciences, HKU Council Member
External
Professor Zheng Zhang
Senior Principal Scientist, Founding Director, Amazon Web Service (AWS) Shanghai AI Lab
Prof. Boris BABIC
Programme Directors (Arts)
Prof. Ruibang LUO
Programme Director (CDS)
Dr. Kangyu Wang
Lecturer
Advisory Board Members
Internal
Prof. Rachel Sterken
Chairperson of the Department of Philosophy, Associate Dean in the Faculty of Arts
Internal
Prof. Herman Cappelen
Chair Professor of Philosophy Director of AI & Humanities Lab
Internal
Prof. Ma Yi
Professor, Chair of Artificial Intelligence; Director of School of Computing and Data Science (HKU CDS); Director of HKU Musketeers Foundation Institute of Data Science (HKU IDS); Professor, Department of Electrical Engineering and Computer Sciences, UC Berkeley
Internal
Prof. Zhiwu Chen
Chair Professor of Finance Cheng Yu-Tung Professor in Finance, Director, Centre for Quantitative History, Director, Hong Kong Institute for Humanities and Social Sciences, HKU Council Member
External
Prof. Zheng Zhang
Senior Principal Scientist, Founding Director, Amazon Web Service (AWS) Shanghai AI Lab
E-mail: aihum@hku.hk
Tel: 3917 8977
Fax: 2548 5231
Address:
Faculty of Arts General Office,
Room 4.05,
4/F Run Run Shaw Tower,
Centennial Campus,
The University of Hong Kong
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