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  • About Us
    • Overview
    • 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
      • MSc. in Financial Engineering
      • MSc. in Data Science
    • Research Postgraduate
      • Ph.D. Programme in Data Science
  • People
    • Faculty
    • Visitors
    • Postdoc
    • PhD Student
  • News & Events
    • News
    • Conference
      • Mostly OM 2019
      • Optimization 2019
    • Academic Activity
  • Jobs
    • Faculty Position
    • Postdoctoral Fellowship
  • Careers
    • Graduate Placement
    • International Programme
CUHK-Shenzhen
简体中文

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  • Home
  • Programmes
  • Introduction
  • Introduction
  • Undergraduate
    • Data Science and Big Data Technology
    • Statistics
    • Computer Science and Engineering
    • Financial Engineering
  • Taught Postgraduate
    • MSc. in Financial Engineering
    • MSc. in Data Science
  • Research Postgraduate
    • Ph.D. Programme in Data Science

Introduction of Programmes

SDS is deeply rooted in cutting-edge fields such as operations research, statistics, computer science, machine learning, decision science, and operations management. Taking talent cultivation and scientific research as mission, SDS is committed to cultivating world-class talents and create more value for the society.

Currently, the SDS offers education programs from undergraduate to graduate levels, including four undergraduate programs: Data Science and Big Data Technology, Computer Science and Engineering, Statistics and Financial Engineering; two master programs: Master of Data Science and Master of Financial Engineering; and one doctoral program in Data Science. Core courses in data science such as machine learning, artificial intelligence will be offered across different programs, providing students at all levels a systematic and state-of-the-art education on data science, broadening student's perspectives, ultimately opening the future of data science research and applications for the students.

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