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