BEng (Hons) Data Science and Big Data Technology with Contemporary Entrepreneurialism

The BEng Data Science and Big Data Technology with Contemporary Entrepreneurialism at XJTLU is delivered through the Syntegrative Educational Model in partnership with industry leader Sugon, based in the School of AI and Advanced Computing at XJTLU Entrepreneur College (Taicang). The program integrates data science, AI, computer science and entrepreneurship, preparing students for fields such as smart city, smart health, bioinformatics, smart manufacturing, e-commerce, finance and urban data systems. Students gain expertise across the entire data lifecycle, from storage and management to sophisticated analysis, with real-world projects and internships with leading tech companies. The program emphasises innovation and entrepreneurship, equipping graduates to lead new industries or launch their own ventures.

• Delivered in partnership with industry leader Sugon
• Syntegrative Educational Model blending learning with industry projects
• Full data lifecycle coverage: storage, management, mining and analysis
• State-of-the-art facilities at the new Taicang campus
• Dual XJTLU and University of Liverpool degrees

High school qualification meeting XJTLU's international undergraduate entry requirements (e.g., A-Level, IB, or equivalent).

English is the medium of instruction; applicants must meet XJTLU's standard English language entry requirements for undergraduate programs.

Strong background in mathematics recommended.

• High school transcripts
• Graduation certificate (if applicable)
• English language test report
• Personal statement
• Recommendation letter

Check your eligibility and academic background | Prepare high school transcripts and certificates | Prepare your English language test result | Prepare your personal statement and recommendation letter | Submit your application through the university admissions system | Await the admission decision

Not stated on official pages.

Core modules include Programming with C++, Data Structures and Algorithms, Numerical Methods, Introduction to Databases, Mathematics for AI and Data Science, Computer Architecture and Operating Systems, Applied Linear Statistical Models, Data Analytics and Visualisation, Networking and Distributed Computing, Machine Learning, Digital Startup Lab and Industry Readiness, plus optional modules in AI in Autonomous Vehicles, AI in Healthcare, Natural Language Processing, Reinforcement Learning and Data Mining.

Graduates pursue roles as data scientists, AI specialists, machine learning engineers, business intelligence analysts and technology consultants, or launch their own ventures, across internet, bioinformatics, smart healthcare, finance, e-commerce and smart manufacturing.