Program Introduction
Big data is reshaping global innovation. Shenzhen-China’s most dynamic technology hub—stands at the forefront of this transformation. The Master’s Program in Big Data Technology and Engineering at Tsinghua Shenzhen equips students with frontier expertise in Data Acquisition and Integration, Distributed Computing and Storing, and Data Governance and Processing. Leveraging Tsinghua University’s world-leading academic excellence and Shenzhen’s vibrant innovation ecosystem, the program offers students unparalleled exposure to cutting-edge research, interdisciplinary collaboration, and pathways into top technology companies and advanced laboratories. Graduates emerge ready to build intelligent data systems and lead the future of the digital world.
Built on deep collaboration with leading enterprises, the program integrates premier industry resources into every stage of study-from academic orientation and curriculum design to research projects and hands-on training. This “four-in-one” full-chain talent cultivation model-linking courses, industry projects, innovation platforms, and expert faculty-enables students to participate in real enterprise-level engineering challenges, develop strong practical skills, and deliver innovation with tangible industrial impact.
With a dual emphasis on scientific research and engineering excellence, the program is dedicated to cultivating globally competitive leaders who can drive breakthroughs in big data technologies. It aspires to serve as a powerful engine for the digital future, empowering students to shape the next era of intelligent society.
Talent Cultivation
Supported by school-enterprise joint training bases, the program partners with leading big data companies to conduct project research grounded in real industrial scenarios. It aims to cultivate students’ engineering capabilities and research mindset by integrating theoretical innovation with industry needs. Students engage in enterprise-level projects, tackle frontier industry challenges, and strengthen their ability to solve complex, real-world problems.
The curriculum includes university-level flagship courses and joint university–enterprise offerings covering both foundational and cutting-edge topics in big data. Supported by advanced computing and experimental platforms, students receive strong technical training across data systems, cloud computing, data intelligence, and privacy-preserving technologies. Course content is closely aligned with emerging trends in the digital economy, enabling students to master core technologies shaping the future of intelligent systems.
The program adopts an “Academic + Industry” dual-mentorship model, led by distinguished interdisciplinary scholars and senior industry experts. Guided by world-renowned researchers and technical leaders from top enterprises, students gain deep practical experience in the full big data technology chain. Through this immersive, innovation-driven environment, the program cultivates globally competitive professionals equipped to lead breakthroughs in data-driven technology and industry transformation.
Training Achievements
The program has cultivated a group of big data talents with excellent research capabilities and practical literacy. Students have published dozens of high-level papers in top international academic conferences and authoritative journals. Students have won various major awards in China and in the world.
Approximately 80% of our graduates have secured positions at premier technology enterprises, such as Huawei, Tencent, Alibaba, Baidu, BYD, and ByteDance. 12% of our graduates pursue doctoral degrees at prestigious worldwide universities, including the University of California, Berkeley, Carnegie Mellon University, University of Washington, Nanyang Technological University, and The Hong Kong University of Science and Technology.
Faculty Information
| Faculty of Master’s Program in Big Data Technology and Engineering | ||
Name | Academic Title / Research Field | More Information |
JIN Xin | Professor Computational photography, multimedia signal processing | https://www.sigs.tsinghua.edu.cn/jx_en/main.htm |
GU Yuantao | Professor Information and Communication Engineering | / |
SONG Jian | Professor Information and Communication | https://www.sigs.tsinghua.edu.cn/sj_en/main.htm |
LI Xiu | Professor Embodied Intelligence: Multi-Agent Reinforcement Learning | https://www.sigs.tsinghua.edu.cn/lx/main.htm |
WANG Xueqian | Professor Intelligent robots | https://www.sigs.tsinghua.edu.cn/wxq_en/main.htm |
YANG Yujiu | Professor Machine learning, NLP | https://www.sigs.tsinghua.edu.cn/yyj_en/main.htm |
DONG Yuhan | Associate Professor Healthcare big data, information theory and optimization, machine learning | https://www.sigs.tsinghua.edu.cn/dyh_en/main.htm |
LI Zhiheng | Associate Professor Intelligent transportation system, transportation big data | https://www.sigs.tsinghua.edu.cn/lzh_en/main.htm |
ZHANG Kai | Associate Professor Intelligent transportation, smart city, statistical signal processing | https://www.sigs.tsinghua.edu.cn/zk_en/main.htm |
XU Yinliang | Associate Professor Distributed control and optimization algorithms | https://www.sigs.tsinghua.edu.cn/xyl_en/main.htm |
GUAN Xun | Associate Professor Optical communication and sensing, including optical fiber communication | https://www.sigs.tsinghua.edu.cn/gx_en/main.psp |
TANG Yansong | Associate Professor Computer vision, pattern recognition, embodied intelligence | https://www.sigs.tsinghua.edu.cn/tys_en/main.htm |
LI Yi | Associate Professor Big data of ocean science & technology | https://www.sigs.tsinghua.edu.cn/ly_en/list.htm |
LIU Zhenyu | Assistant Professor Decentralized inference and learning | https://www.sigs.tsinghua.edu.cn/lzy_en/main.psp |
YU Chao | Assistant Professor Decision intelligence based on reinforcement learning | https://www.sigs.tsinghua.edu.cn/yc1_en/main.psp |
DENG Weijian | Assistant Professor Self-Evaluating, Self-Exploring AI Agents | https://www.sigs.tsinghua.edu.cn/dwj_en/main.htm |
YIN Bo | Assistant Professor Intelligent Control and Brain-Computer Interfaces | https://www.sigs.tsinghua.edu.cn/yb1_en/main.htm |
Credit Requirements
Requirements (Minimum total credits: 29) | |
Core courses (6 credits, 2-3 courses) | · Reinforcement Learning · Random Processes · Introduction to Probability Theory · Information Theory and Statistical Learning · Big Data Acquisition and Intelligent |
Elective specialized courses (9 credits, 3–5 courses) | · Next-Generation Video Coding and Low-Power Design · Information and Communication Technology · Optical Wireless Communication · Distributed Control and Optimization of Power Systems · Introduction to Advanced ITS · ITS and High-accuracy Positioning Technologies · Intelligent Transportation Systems Modeling and Simulation · Artificial Intelligence(AI)+Innovation Design Thematic Workshop · Artificial Intelligence(AI)+Innovation Design Capstone Project II · Interdisciplinary Innovation Practice-based Course: Computational Optics · Interdisciplinary Innovation Practice-based Course: Smart City Innovative Applications · Interdisciplinary Innovation Practice-based Course: Artificial Intelligence Coding and Applications · Interdisciplinary Innovation Practice-based Course: Large Model Innovative Applications |
Mandatory courses from other categories (7 credits, 4–5 courses) | · China Overview courses · Chinese Language Courses · Professional Literacy Courses |
Non-course requirements (7 credits) | · Literature Review and Thesis Proposal · Feasibility Study on Professional Practice for Degree Application · Medium-term Report Review · Special Practice of Big Data · Internship |
Note: The requirements are subject to the specific training program effective in the year of admission
Tuition Fees & Program Duration
33,000 RMB per year / Two years
Language of Instruction
This program offers courses in both Chinese and English.
How to Apply
Application Portal
https://yzbm.tsinghua.edu.cn/intlLogin
Remark: Select 599 Tsinghua Shenzhen International Graduate School
085411 (Professional Degree,full time)-Big Data Technology and Engineering
Application Timeline for 2027
Open now; closes at 17:00, May 15, 2027 (Beijing Time).
Contact Us
Ms. Huang, Program Coordinator
Tel: +86 755 86239174
Email: huang.lingyan@sz.tsinghua.edu.cn
