Study Mode and Study Period
The study mode is full-time for all streams of MPhil-PhD Programme in Mathematics. 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.
*Candidacy Requirement: The Postgraduate Qualification Examination includes both written examination and oral examination (thesis proposal is required for oral examination).
|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|
For MPhil students, minimum of 18 units are required from the following list of lecture courses (6 courses).
For PhD students, minimum of 27 units are required from the following list of lecture courses (9 courses).
Measure Theory and Integration
Complex Function Theory
Ordinary Differential Equations and Dynamical Systems
Advanced Abstract Algebra I
Methods of Applied Mathematics
Partial Differential Equations I
Partial Differential Equations II
Advanced Abstract Algebra II
Lie group and Lie algebra
Advanced Numerical Methods
Advanced Probability Theory and Mathematical Statistics
Advanced Financial Models
Topics in Analysis
Topics in Partial Differential Equations
Topics in Algebra
Topics in Differential Geometry and Topology
Topics in Applied Mathematics
Topics in Scientific Computing
Topics in Financial Mathematics
Financial Data Analysis
Computational Methods in Financial Engineering