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  • About Us
    • Overview
    • Academic Area
    • Dean’s Message
    • Publications
    • FAQ
    • Contact Us
  • Programmes
    • Introduction
    • Undergraduate
      • Data Science and Big Data Technology
      • Statistics
      • Computer Science and Engineering
      • Financial Engineering
    • Taught Postgraduate
      • M.Sc. in Data Science
      • M.Sc. in Financial Engineering
      • M.Sc. in Bioinformatics
      • M.Sc. in Artificial Intelligence and Robotics
    • Research Postgraduate
      • Ph.D. Programme in Data Science
      • Ph.D. Programme in Computer Science
  • Faculty
    • Faculty
    • Visitors
    • Postdoc
  • Students
    • PhD Student
    • Student Interview
  • News & Announcement
    • News
    • Announcement
  • School Events
    • Conference
      • CSAMSE 2023
      • RMTA 2023
      • ICASSP 2022
      • Mostly OM 2019
      • Optimization 2019
    • Academic Activity
    • SDS Colloquium Series
    • Other Events
  • Research
  • Jobs
    • Faculty Position
    • Postdoctoral Fellowship
  • Careers
    • Graduate Placement
    • International Programme
CUHK-Shenzhen
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Undergraduate Programmes

Data Science and Big Data Technology

Data Science and Big Data Technology is a new undergraduate program jointly established by the Institute for Data and Decision Analysis and the School of Science and Engineering of CUHK-Shenzhen.It provides a systematic curriculum of data collection, management, analysis, decision-making and etc. on the basis of mathematics and statistics foundations. Its contents include operations research, machine learning, optimization, operation management, decision science and other related interdisciplinary fields. In addition to these basic knowledge, our programme also cultivates students' ability to perform data analytics in a real environment through real case study and analysis of actual data.

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Statistics

Statistics is the study of the collection, analysis and interpretation of data to obtain information and support decision-making. This programme’s curriculum is designed to encompass the core subjects of the fields such as finance, business, engineering, medicine and government policy, while maintaining a balance between theory and practice. Students equipped with a solid training in statistical and computing skills will play a key role in solving various statistical problems.

Website for Study Scheme Admission Website for Application
Computer Science and Engineering

Machine learning, artificial intelligence and data science will be the key application directions of Computer Science and Engineering. In this programme, students will acquire a solid foundation in math and extend knowledge in cross-disciplinary applications. They will also master the knowledge and skills of computer which enable them to obtain strong analysis, design, programming and application capabilities of computer systems.

Website for Study Scheme Admission Website for Application
Financial Engineering

Financial Engineering is jointly launched by the School of Management and Economics (SME), the School of Science and Engineering (SSE) and the School of Data Science (SDS). In this programme, students will be equipped with quantitative and analytical skill, sound financial modeling and forecasting skills, and are ideally suited to positions and tasks that require strong quantitative and analytical skills such as valuation, portfolio analysis, asset allocation, credit analysis, risk modeling, and structured finance. The programme also provides a good foundation for careers in investment banking, commercial and corporate banking and financial services.

Website for Study Scheme Admission Website for Application
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