Programmes and Courses
LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science
The LEO Dr David P. Chan Bachelor of Science (Honours) in Data Science Programme integrates knowledge and skills from computer science, statistics/mathematics and artificial intelligence with critical and out-of-the box thinking to process big datasets with different formats from various sources.
Minor Programme in Data Science
The Minor in Data Science aims to train students in the fundamental principles and practical applications of data science. Students will learn the scientific process and computational, mathematical and statistical methods in data collection, analysis and presentation. They will learn how to apply the data science process and methods to solve problems that arise in science, social sciences, arts and business.
Common Core Course in the Core Curriculum: Generative Artificial Intelligence
This course introduces generative artificial intelligence (AI), including fundamental concepts, basic techniques for generating text, images and audio, methods for evaluating and enhancing models, and ethical considerations. Through lectures and hands-on labs, students with no prior AI knowledge will gain practical skills in implementing, critiquing, and refining generative models.
Bachelor of Science (Honours) in Innovative Design and Artificial Intelligence (BScIDAI)
The Bachelor of Science (Honours) in Innovative Design and Artificial Intelligence (BScIDAI) self-financed programme is designed to bridge the gap between creative innovation and technical execution. The programme fuses holistic design thinking with advanced AI engineering. Graduates emerge fully prepared to independently develop and deploy market-ready intelligent products across evolving industries.
Bachelor of Business Administration (Honours) – Finance (BBA-FIN) and Bachelor of Science (Honours) in Innovative Design and Artificial Intelligence (BScIDAI)
A self-financed double degree programme: Bachelor of Business Administration (Honours) – Finance (BBA-FIN) and Bachelor of Science (Honours) in Innovative Design and Artificial Intelligence (BScIDAI) is jointly administered by the Faculty of Business and the School of Data Science. Students will develop a strong understanding of financial principles while acquiring technological and creative capabilities that are increasingly sought after in the digital economy.
Master of Science in Agentic AI Systems (MScAAIS)
The Master of Science in Agentic AI Systems programme is tailored for graduates without a computing science background. It equips students with theoretical knowledge, practical capabilities and professional expertise to deploy artificial intelligence in real-world contexts. Graduates will develop the skill set to pursue careers across technology-driven industries, the public sector and research organisations.
Master of Science in Artificial Intelligence and Business Analytics (MScAIBA)
The Master of Science in Artificial Intelligence and Business Analytics Programme emphasises a balanced coverage of subjects in AI and business analytics, as well as focuses on business data analytics by using AI techniques to solve practical business problems.
Master of Science in Data Science (MScDS)
The Master of Science in Data Science Programme provides individuals with the knowledge, skills, and practical experience required to excel in the field. It equips students with a solid understanding of data manipulation, statstical analysis, machine learning algorithms, and data visualization techniques. Through hands-on projects and real-world applications, students learn to collect, analyze, and interpret data, enabling them to make informed decisions and derive actionable insights.
Master of Science in Industrial Data Analytics (MScIDA)
The Master of Science in Industrial Data Analytics (MScIDA) is a specialized programme designed to equip students with the skills and knowledge to harness the power of data in the industrial sector.
Master of Science in Innovative Design and Artificial Intelligence (MScIDAI)
The Master of Science in Innovative Design and Artificial Intelligence (IDAI) Programme emphasises the complete integration of human-centred design methodologies with cutting-edge AI technologies. It focuses on the entire AI product lifecycle: from conceptual design and software/hardware development to system integration and entrepreneurial launch.
Master of Science in Smart City Technologies and Applications (MScSCTA)
The Master of Science in Smart City Technologies and Applications (MScSCTA) is a cutting-edge program designed to equip students with the knowledge and skills to address the challenges and opportunities presented by the concept of smart cities.
Master of Research in Advanced Data Science (MResADS)
MResADS offers a research-led and industry-oriented curriculum. Students gain advanced knowledge and practical experience in cutting-edge research and innovation, preparing graduates to lead in both academic and industrial.
Doctor of Artificial Intelligence Studies (DAIS)
The Doctor of Artificial Intelligence Studies (DAIS) programme at Lingnan University is a pioneering, self-financed initiative designed to cultivate globally minded and innovative technology leaders. This programme integrates a robust theoretical foundation with practical applications and cutting-edge research, providing students with a comprehensive understanding of AI and its applications.
M.Phil./Ph.D. Programme in Data Science
The M.Phil./Ph.D. programme in Data Science is specifically tailored for highly motivated and exceptionally skilled students with a passion in data science. This program is designed to cater to individuals who aspire to pursue advanced degrees in interdisciplinary research fields such as data science, statistics, computer science and machine learning. (Research Areas)
Double PhD Degree Programme in Data Science with Shandong University (SDU), China
The School of Data Science at Lingnan University (SDS-LU) and the School of Control Science and Engineering Shandong University (SCSE-SDU) have launched a double PhD degree programme in Data Science from September 2025, which leverages the unique strengths of each institution to foster advanced doctoral training, promote interdisciplinary research, and enhance academic and professional opportunities for PhD students.