IBSS Capability Cluster
This capability cluster focuses on the application of artificial intelligence and data analytics in the tourism industry and the development of cultural tourism. It is designed to equip learners with interdisciplinary capabilities that combine tourism knowledge, data-driven thinking, and digital technology applications.
For more details, please click here.
Deadline: 31-May, 2026
Project Leader
Dr Linjia Zhang
Email: ibsstourismai@xjtlu.edu.cn
Phone: 0512-88161179
Project Time: 29-Jun to 24-Jul, 2026
Venue: BS Building, SIP South campus
AI is rapidly reshaping the business world. Across data analysis, finance, digital marketing, and everyday business operations, employers increasingly look for people who can do more than simply use AI tools — they need people who can integrate AI, data, and business insight to solve real-world challenges effectively. This Capability Cluster is designed in response to that demand, equipping learners with practical skills in Python for business analytics, generative AI, AI-agent-based workflows, intelligent finance, and AI-assisted digital marketing.
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Deadline: 8-Jun, 2026
Project Leader
Dr Xiangyun Lu
Email: ibssaibiz@xjtlu.edu.cn
Phone: 0512-88166530
Project Time: 22-Jun to 17-Jul, 2026
Venue: BS Building, SIP South campus
The capability cluster includes four main courses, which are Innovation Management; Intellectual Property Management; International IP Protection and Global Patent Portfolio; and IP Management in the Era of Big Data and AI. The programme is designed to develop and strategic and applied understanding of intellectual property, enabling participants to move beyond its traditional role as a legal safeguard and position it as a key driver of innovation and competitive advantage in a complex, technology-driven global economy.
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Deadline: 8-Jun-26
Project Leader
Dr Yao Fu
Email: ibssgipmis@xjtlu.edu.cn
Phone: 0512-89165329
Project Time: 29-Jun to 24-Jul, 2026
Venue: BS Building, SIP South campus
The Digital and Intelligent Finance capability cluster is designed to equip students with the analytical, technological, and strategic competencies required to understand and operate in the rapidly evolving digital financial ecosystem. The cluster focuses on how emerging technologies, such as artificial intelligence, big data analytics, financial technologies (FinTech), and decentralised finance (DeFi), are reshaping financial markets, institutions, and decision-making processes.
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Deadline: 8-JUN-26
Project Leader
Dr Zuben Jin
Email: ibssaifin@xjtlu.edu.cn
Phone: 0512-89167162
Project Time: 22-Jun to 17-Jul, 2026
Venue: BS Building, SIP South campus
This capability cluster equips learners to move beyond spreadsheets and legacy software by building automated data pipelines with Python, working with real‑world datasets, and creating interactive KPI dashboards. The learning journey spans the full analytics spectrum, from descriptive and diagnostic analysis to predictive, and prescriptive modelling, providing a comprehensive foundation for data-driven decision-making. As a result, participants are able to apply AI technologies more effectively to improve performance and strategic outcomes.. Crucially, the programme goes beyond analysis: learners deploy AI tools such as autonomous agents and agentic coding assistants, and they practise translating technical outputs into clear, actionable business strategies.
For more details, please click here.
Deadline: 25-May-26
Project Leader
Dr Qian Luo
Email: ibssaiscm@xjtlu.edu.cn
Phone: 0512-88970334
Project Time: 22-Jun to 17-Jul, 2026
Venue: BS Building, SIP South campus
*Accommodation is to be arranged by participants themselves.
Non-Education Programme
Overview
The IBSS Capability Cluster comprises five intensive, interdisciplinary programmes designed to equip learners with future-ready skills at the intersection of artificial intelligence, data analytics, digital transformation, and strategic business thinking. Each cluster follows a structured progression from foundational concepts to real-world application and integration. The programmes target undergraduate and postgraduate students as well as professionals from a variety of backgrounds, with no advanced technical prerequisites required.
Across all clusters, the emphasis is on hands-on, applied learning through lectures, workshops, case studies, live demonstrations, field visits, and industry-embedded projects. By the end of their chosen programme, learners will have developed not only a conceptual understanding emerging technologies conceptually but also to the practical ability analyse business problems, design workflows, and deliver actionable solutions,, thereby enhancing their employability in roles related to business analytics, digital marketing, finance, consulting, tourism, and AI-driven innovation.