Graduate Diploma in Data Science

The Graduate Diploma in Data Science will grant you an understanding in the foundations of big data, statistical programming, business intelligence, probabilities, and relational data structures and in the second semester will provide and introduction to machine learning, visualisation, and communication. Students who successfully complete the Graduate Diploma may continue to Master of Data Science and receive credit for courses in the Graduate Diploma.

Course name	Cat. #	Unit	SP2	SP5	Lecturer
Program Structure
Core Courses
Big Data Concepts	INFS 4020	4.5	✓	✓	Dr. Jing Gao
Problem Solving in the Digital Age	COMP 5076	4.5	✓	✓	Dr. Gun Lee
Business Practices for IT Professionals	INFS 5058	4.5	✓	✓	Dr Sameera Mubarak
Statistics for Data Science	MATH 4044	4.5	✓	✓	Dr Khoa / Dr Malgorzata

IMPORTANT! Students with the option of an elective instead of a course above can only be approved with the Program Director. Electives should be chosen so that they best complement current knowledge and work experience. If in doubt, the Program Director will help you choose the best combination of electives for your current background.

Course name	Cat. #	Unit	SP2	SP5	Lecturer
Directed Elective Courses
Advanced Business Intelligence and Analytics	INFS 5135	4.5	✓	✓	Dr. Jan Stanek
Analytics for Decision Making	INFS 3075	4.5	✓		Dr Josh Coppin
Probabilities and Data	MATH 4043	4.5	✓	✓	Dr. Gerald Cheang
Risk Management and Governance or Security Principles	INFS 3083 INFS 5115	4.5	✓	✓	Mr. Stephen Hindle
Semester 2 - Analytic Techniques
Statistical Programming for Data Science	COMP 5070	4.5	✓	✓	Dr. Timofei
Data Wrangling and Social Media Analytics	INFS 5144	4.5	✓	✓	As.Pr. Thuc Le
Directed Elective	X	4.5	✓	✓	See above
Data Visualisation	INFS 5116	4.5	✓	✓	Dr. Malgorzata Korolkiewicz

Technology and Programming Languages Covered: