• SDS Portal
Search
CUHK-Shenzhen
简体中文
  • About SDS
    • Overview
    • Academic Area
    • Dean’s Message
    • Publications
      • Brochure
      • School Newsletter
      • Annual Report
    • FAQ
    • Contact Us
  • Programmes
    • Introduction
    • Undergraduate
      • Data Science and Big Data Technology
      • Statistics
      • Computer Science and Engineering
      • Financial Engineering
      • 2+2 Double Major Programme
        • Interdisciplinary Data Analytics + X Double Major Programme
        • Aerospace Science and Earth Informatics + X Double Major Programme
    • Taught Postgraduate
      • M.Sc in Data Science
      • M.Sc in Financial Engineering(Full-time/Part-time)
      • M.Sc in Artificial Intelligence and Robotics
      • M.Sc in Computer Science
      • M.Sc in Statistics
      • M.Sc in Bioinformatics
    • Research Postgraduate
      • M.Phil.-Ph.D. Programme in Data Science
      • M.Phil.-Ph.D. Programme in Computer Science
  • Faculty
    • Faculty
    • Emeritus Faculty
    • Affiliated Appointments
    • Researchers/Visitors
  • Students
    • Ph.D. Students
    • Student Interviews
  • News & Announcements
    • News
    • Announcements
  • School Events
    • Academic Conferences
      • ICSR+InnoBiz 2024
      • CSAMSE 2023
      • RMTA 2023
      • ICASSP 2022
      • Mostly OM 2019
    • Academic Activities
    • SDS Colloquium Series
    • Other Events
  • Research
  • Jobs
    • Faculty Positions
    • Postdoctoral Fellowships
  • Career
    • Graduate Placements
    • International Programmes
  • About SDS
    • Overview
    • Academic Area
    • Dean’s Message
    • Publications
      • Brochure
      • School Newsletter
      • Annual Report
    • FAQ
    • Contact Us
  • Programmes
    • Introduction
    • Undergraduate
      • Data Science and Big Data Technology
      • Statistics
      • Computer Science and Engineering
      • Financial Engineering
      • 2+2 Double Major Programme
        • Interdisciplinary Data Analytics + X Double Major Programme
        • Aerospace Science and Earth Informatics + X Double Major Programme
    • Taught Postgraduate
      • M.Sc in Data Science
      • M.Sc in Financial Engineering(Full-time/Part-time)
      • M.Sc in Artificial Intelligence and Robotics
      • M.Sc in Computer Science
      • M.Sc in Statistics
      • M.Sc in Bioinformatics
    • Research Postgraduate
      • M.Phil.-Ph.D. Programme in Data Science
      • M.Phil.-Ph.D. Programme in Computer Science
  • Faculty
    • Faculty
    • Emeritus Faculty
    • Affiliated Appointments
    • Researchers/Visitors
  • Students
    • Ph.D. Students
    • Student Interviews
  • News & Announcements
    • News
    • Announcements
  • School Events
    • Academic Conferences
      • ICSR+InnoBiz 2024
      • CSAMSE 2023
      • RMTA 2023
      • ICASSP 2022
      • Mostly OM 2019
    • Academic Activities
    • SDS Colloquium Series
    • Other Events
  • Research
  • Jobs
    • Faculty Positions
    • Postdoctoral Fellowships
  • Career
    • Graduate Placements
    • International Programmes
  • SDS Portal
CUHK-Shenzhen
简体中文

Breadcrumb

  • Home
  • Programmes
  • Research Postgraduate
  • M.Phil.-Ph.D. Programme in Data Science
  • M.Phil. - Ph.D. Programme in Data Science -Curriculum Arrangement
  • Introduction
  • Undergraduate
    • Data Science and Big Data Technology
    • Statistics
    • Computer Science and Engineering
    • Financial Engineering
    • 2+2 Double Major Programme
      • Interdisciplinary Data Analytics + X Double Major Programme
      • Aerospace Science and Earth Informatics + X Double Major Programme
  • Taught Postgraduate
    • M.Sc in Data Science
    • M.Sc in Financial Engineering(Full-time/Part-time)
    • M.Sc in Artificial Intelligence and Robotics
    • M.Sc in Computer Science
    • M.Sc in Statistics
    • M.Sc in Bioinformatics
  • Research Postgraduate
    • M.Phil.-Ph.D. Programme in Data Science
    • M.Phil.-Ph.D. Programme in Computer Science

M.Phil. - Ph.D. Programme in Data Science -Curriculum Arrangement

  • Introduction
  • Application Procedure and Requirement
  • Curriculum Arrangement
  • Tuition and Scholarship
  • Summer Camp

1. Course Requirements

Courses offered in the programme are applicable for students with the background of mathematics, computer, statistics, and operations research. For MPhil-PhD students, minimum of 27 units are required from the following list of lecture courses, with at least three courses in Group A (9 units). The cumulative GPA should be 3.0 or above.

Group A Lecture Courses

Group B Lecture Courses

Stochastic Process

Dynamic Programming and Stochastic Control

Embedded Systems

Optimization Theory and Algorithms

Simulation

Advanced Database Systems 

Measure Theoretic Probability

Reinforcement Learning

Virtualization Techniques

Advanced Statistics Theory

Advance Machine Learning

Cloud Computing

Analysis of Algorithms

Advanced Data Management

Graph Computing

Machine Learning

Advanced Convex Optimization

GPU Programming

 

Discrete Optimization

Natural Language Processing

 

Stochastic Optimization

Computational Methods and Tools for Data and Decision Analytics

 

AI Security and Privacy

Probabilistic Graphical Models  

 

Selected Topics in Data and Decision Analytics I-IV

Advanced Applied Statistics and Data Analysis 

 

Optimization Models and Methods in Machine Learning

Selected Topics in Statistics I-IV

 

Game Theory and Its Applications

Algorithmic Game Theory

Notes: Students may be granted course exemption (PhD: up to 9 units; MPhil: up to 6 units) from courses if they have taken similar or equivalent postgraduate courses with satisfactory performance (“B” grade or above).  The Graduate Panel shall decide whether an application for course exemption should be recommended, and whether the course exempted should be counted into Group A or Group B. The course exemption shall be subject to the final approval of the Graduate School.  For more information, please refer to Policy on Course and Unit Exemptions of GS: https://gs.cuhk.edu.cn/en/page/52

 

2. Study Mode and Study Period

The study mode is full-time for all streams of MPhil-PhD Programme in Data Science. The study period for students of different streams/stages are summarized below:

1. For MPhil students, the study period is from 24 months to 48 months.

2. For PhD students who enter with a research master’s degree, the study period is from 48 months to 72 months, of which the students have maximum 24 months to pass the candidacy requirement counted from first entry. A student who fails to pass the candidacy requirement within 24 months is required to withdraw from PhD study.

3. For PhD students who enter without a research master’s degree, the study period is from 60 months to 84 months, of which the students have maximum 36 months to pass the candidacy requirement counted from first entry. A student who fails to pass the candidacy requirement within 36 months is allowed to switch to MPhil study.

Degree Mode Maximum Pre-Candidacy Period Normative Period Maximum Period
MPhil Full-time --

24 months

48 months
PhD (entering with a research master’s degree) Full-time 24 months 48 months 72 months
PhD (entering without a research master’s degree) Full-time 36 months 60 months 84 months
Address: 3 - 6 Floor, Dao Yuan Building, 2001 Longxiang Road, Longgang District, Shenzhen
E-mail: sds@cuhk.edu.cn
Wechat Account: cuhksz-sds

sds.cuhk.edu.cn

Copyright © CUHK-Shenzhen School of Data Science