Study Mode and Study Period

 

The study mode is full-time for all streams of MPhil-PhD Programme in CIE. 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

 

 

Credits Required

 

For MPhil students, minimum of 18 units are required from the list of lecture courses as below, with at least 6 units to be selected from Group A, and the rest can be selected from Group B.

 

For PhD students, minimum of 27 units are required from the list of lecture courses as below, with at least 9 units to be selected from Group A, and the rest can be selected from Group B.

 

Please kindly find more details in the Study Plan of MPhil- PhD Programme.

 

 

Curriculum

 

Please kindly find more details in the Study Plan of MPhil- PhD Programme.

                                                   

Lecture Courses Group A

Matrix Analysis

Stochastic Process

Optimization Theory and Algorithms

Advanced Computer Architecture

Image Processing and Computer Vision

Social Computing

Data Analytics

Machine learning

Selected Topics in Artificial Intelligence

Optical Communication and Interconnects

Information Theory

Computer and Network Security

Mobile Networking

Advanced Wireless Communications

Advanced Topics in Signal Processing

Dynamic Programming

Introduction of Reinforcement Learning

Selected Topics in CIE Ⅰ

Functions of Several Variables for Applied Mathematical Sciences

Deep Learning Foundations and Their Applications 

Regularization/Kernel Methods: Theory for the Users 

Network Economics 

 

                                                   

Lecture Courses Group B

Advanced Convex Optimization

Topics in Computer-Aided Geometric Design

Control Systems

Robotics and Intelligent Systems

Advanced Topics in Energy Systems

Introduction to Detection & Estimation Theory & Application 

Selected Topic in CIE II –Nanoscience 

Selected Topics in CIE II 

Cloud Computing

Selected topics in blockchain systems 

Performance Analysis of Computer and Communication Systems

Telecommunication Switching and Network Systems

Understanding Deep Learning from a Theoretical Perspective

Mobile Computing with Internet of Things

Selected topics in Text Representation Learning 

CMOS Analog IC Design 

Gaussian Process for Machine Learning and Signal Processing

RF Circuits and Systems

Multi-Antenna Wireless Communications

The Bootstrap and Its Applications in Signal Processing

 

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