Approved Courses for Research Degree Students

School of Data Science

PhD students are required to fulfill the stipulated core course and electives requirements.

Core Courses for PhD Students (9 Credits) for 2019 cohort and thereafter:

Code Course Title Credits

2020-21
Semester/Term

SDSC8003 Machine Learning 3 A
SDSC8004 Advanced Statistics 3 A
SDSC8005 Optimization  3 A

Core Courses for MPhil Students for 2019 cohort and thereafter:

Nil

Research Methodology and Ethics Courses (2 Credits) for PhD Students/MPhil Students for 2019 cohort and thereafter:

Code Course Title Credits

2020-21
Semester/Term

SDSC8001 Seminars on Data Science I 1 A & B
SDSC8002 Seminars on Data Science II 1 A & B

Electives for PhD Students (9 Credits)/MPhil Students (5 Credits) for 2019 cohort and thereafter:

Code Course Title Credits

2020-21
Semester/Term

SDSC8006 Reinforcement Learning 3 B
SDSC8007 Deep Learning 3 -
SDSC8008 Data-driven Operations Research 3 -
SDSC8009 Data Mining And Knowledge Discovery 3 B
SDSC8010 Special Topics in Data Science 3 -
SDSC8011 Social Foundations of Data Science 3 -
SDSC8012 Bayesian Regression Modelling and Analysis 3 -
SDSC8013 Statistical Methods for Categorical Data Analysis 3 B
SDSC8014 Online Learning and Optimization 3 B

Core Courses for PhD Students (5 Credits) for 2018 cohort or before:

Code Course Title Credits

2020-21
Semester/Term

SDSC8001 Seminars on Data Science I 1 A & B
SDSC8002 Seminars on Data Science II 1 A & B
 

AND

One course with 3 credits to be selected from the followings:

   
MA8006 Functional Analysis and Applications @  3 A
MA8014 Advanced Methods for Scientific Computation @  3 A
SEEM8105 Quantitative Methods for Systems Engineering and Engineering Management @  3 -

@ A minimum of 3 credits must be selected from MA8006, MA8014 & SEEM8105.

PhD students are required to complete 9 credits of postgraduate courses as prescribed by their supervisor based on the relevance of research work to fulfill the programme electives requirement.