Core Courses

Research Excellence (4 Units)

Module Name	Units
1) 2 Laboratory Rotations 2) GS5101 Research Immersion	2	More GS5101 Research Immersion Students will complete two lab rotations, two months per rotation, in their first semester. Students will submit a report for each rotation that includes a description of the research project and the supervisor’s assessment of the student’s performance during the rotation. Students will attend a workshop before they start their second lab rotation. They will discuss research mentorship, research planning and management and articulate the learning experiences gleaned from their first lab rotation. Modular credits and a ‘Completed Satisfactory (CS)/Unsatisfactory (CU)’ grade will be awarded for satisfactory performance for both rotations, completion of two rotation reports and workshop attendance.
GS6883B Integrative Science and Engineering Research	2	More GS6883B GS6883B Integrative Science and Engineering Research (2 MCs) This module aims to cultivate an interdisciplinary mindset among postgraduate students. Through interactive lectures, the module will expose students to various research themes to broaden their knowledge and examine the role of integrative approaches in addressing 21st century challenges. Through journal clubs, the module will prepare students to critically evaluate research literature across the science and engineering disciplines and recognize the broader significance of work presented within the context of each field.

	Module Name	Units
Two compulsory ISEP modules (4 Units)	GS6883A Interface Sciences and Engineering	2
One module from Faculty of Science (4 Units) Choose any module of level 5000 or 6000 relevant to Data Science, or from the following options:	QF5210 Financial Time Series: Theory and Computation MA5243 Advanced Mathematical Programming ST5210 Multivariate Data Analysis	4 4 4
One module from School of Computing (4 Units) Choose any module of level 5000 or 6000 relevant to Data Science, or from the following options:	CS5339 Theory and Algorithms for Machine Learning CS5246 Text Mining CS5344 Big Data Analytics Technology CS5228 Knowledge Discovery and Data Mining	4 4 4 4
One module from Faculty of Engineering (4 Units) Choose any module of level 5000 or 6000 relevant to Data Science, or from the following options:	EE5907 Pattern Recognition EE5137: Stochastic Processes EE5934 Deep Learning	4 4 4
One module from School of Business (4 Units) Choose any module of level 5000 or 6000 relevant to Data Science, or from the following options:	BZD6003 Applied Econometrics I BZD6004 Applied Econometrics II BZD6011 Advanced Quantitative Research Methods FIN6004 Empirical Asset Pricing and Microstructure	4 4 4 4