To promote the in-depth integration of business statistics theory with industry frontiers and broaden the industry vision and career development paths of postgraduate students, on 13 April 2026, MSCBS students, led by Program Director Professor Xiaoling Peng, visited Tencent Binhai Mansion in Shenzhen for an exchange activity. This activity focused on the implementation and application of big data, artificial intelligence, and business intelligence in the digital transformation of the Internet and industries. Two alumni from BNBU were specially invited to share their experiences and answer questions on-site, building a two-way bridge for students from academic research to industrial practice and from alumni experiences to career planning.
The visiting group first entered the corporate exhibition hall of Tencent Binhai Mansion. Guided by the expostor, they systematically learned about Tencent's development process from a social platform to a globally leading Internet technology company, as well as its core layout and innovative achievements in fields such as cloud computing, big data, artificial intelligence, financial technology, and smart industries.
Tencent Cloud Scene Visualization Tencent WorkBuddy
Full Flight Simulator Visual System AI Restoration of Dunhuang Murals
The students focused on visiting the exhibition areas of Tencent's hybrid large model, big data analysis platform, business intelligence decision-making system, and risk control modeling. They experienced in an immersive way how data mining, statistical modeling, and machine learning technologies support real business scenarios such as WeChat ecosystem operation, financial risk control, user profiling analysis, and industrial digital transformation. They had in-depth exchanges with the expostor around the application of business statistics in user behavior analysis, precision marketing, risk prediction, and data governance, and directly felt the industrial value of "data-driven decision-making” and deeply understood the connection points between professional knowledge and industry demands. In addition, the expostor shared and let the students experience in person the core technologies and practices of how Tencent's hybrid AI large model empowers the AI restoration of Dunhuang Murals, and introduced a series of achievements made by Tencent in the fields of public welfare, emergency and people's livelihood, and green and low-carbon.
Jin Fang, an alumna of Statistics major, was sharing Yingfang Zhang, an alumna of Data Science major, was sharing
Subsequently, the relevant human resources personnel from Tencent, along with two BNBU alumni, engaged in a dialogue with the visiting students and teachers. One of the alumni is Jin Fang, a former BNBU statistics major, who is currently working in the HR department of Tencent. The other is Yingfang Zhang, a former BNBU data science major, who is now involved in the R&D of the hybrid large model in the TEG (Technology Engineering Group) of Tencent.
During the dialogue, the two alumni shared their experiences and insights on transitioning from BNBU to the workplace at Tencent, based on their own learning experiences and career growth paths. Jin Fang provided a detailed interpretation of the recruitment standards, resume screening priorities, and interview techniques for data-related positions at Tencent, offering targeted job-hunting guidance to the students based on her HR experience. Yingfang Zhang focused on the research and application of the hybrid large model, sharing practical experiences in the use of data science technology in large model training and optimization, and explaining the core role of commercial statistics knowledge in model effect evaluation and data preprocessing, allowing the students to have a clear understanding of the application of professional knowledge in cutting-edge technology fields.
During the Q & A session
In the interactive Q&A session, the students actively raised questions about how to transform professional knowledge into workplace skills, the recruitment standards for data positions in large companies, internship opportunities, career planning, the ability requirements for positions related to the hybrid large model, and the preferences of HR in recruitment. The relevant human resources personnel from Tencent and the two alumni answered each question in detail, combining their industry experience and campus experiences. Their answers included both professional industry insights and warm alumni experience sharing, helping the students clarify their learning directions and career positioning, and resolving their confusion in job hunting and career development.
This visit was an important practical part of the "industry-university-research integration" training system for MSCBS at FST of BNBU, and also a vivid example of alumni empowered education. After the visit, students said that this visit to Tencent not only allowed them to step out of textbooks and classrooms and get closest to the most cutting-edge technologies and applications in the industry but also enabled them to gain real world workplace experiences and practical job-hunting guidance through the sharing of the two alumni. It deepened their understanding of the theoretical knowledge of business statistics and data science and helped them clearly recognize the core ability requirements of the industry for data talents, providing important guidance for their subsequent professional learning, scientific research practice, and career planning.
In the future, MSCBS will continue to deepen cooperation with leading technology companies in the Greater Bay Area such as Tencent, build more school-enterprise exchange platforms, and give full play to the advantages of alumni resources by organizing more sharing and exchange activities for outstanding alumni. This will help students closely combine their academic abilities with industry needs, cultivate high-quality data science talents who can adapt to the development of the digital economy era, and contribute to the technological innovation and industrial upgrading of the Guangdong-Hong Kong-Macao Greater Bay Area.