Master of Professional Studies (Data Science)

About this course

This programme focuses on the application of data management and data analysis skills to a professional domain, such as business.

Entry Requirements

Programme-specific entry requirements for postgraduate applicants with international qualifications:

• GPE: 5
• Australia (%): 70-75%
• China (%): 80-85%
• India (%): 60-65%
• Indonesia (GPA): 3.2-3.4
• Iran (Grade Average): 14.5-15.0
• Malaysia (GPA): 3.2-3.4
• Singapore (GPA): 3.7
• South Pacific-USP (GPA): 3.3
• Taiwan (%): 77-82%
• Thailand (GPA): 3.2-3.4
• UK (%): 60-65%
• USA (GPA): 3.2-3.4
• Vietnam (GPA): 7.0-7.5

Curriculum

Master of Professional Studies in Data Science - 120 point (one-year) Taught Masters

At least 30 points from:

• COMPSCI 751 Advanced Topics in Database Systems
• COMPSCI 752 Web Data Management
• COMPSCI 753 Uncertainty in Data
• COMPSCI 760 Datamining and Machine Learning

At least 30 points from:

• STATS 762 Special topic in regression
• STATS 769 Advanced Data Science Practice
• STATS 782 Statistical Computing
• STATS 784 Statistical Data Mining

Up to 30 points from:

• SCIENT 701 Accounting and Finance for Scientists
• SCIENT 702 Marketing for Scientific and Technical Personnel
• COMPSCI 705 Advanced Topics in Human Computer Interaction
• COMPSCI 711 Parallel and Distributed Computing
• COMPSCI 720 Advanced Design and Analysis of Algorithms
• COMPSCI 732 Software Tools and Techniques
• COMPSCI 734 Web, Mobile and Enterprise Computing
• INFOSYS 720 Information Systems Research
• INFOSYS 722 Data Mining and Big Data
• INFOSYS 727 Advanced Information Security
• INFOSYS 737 Adaptive Enterprise Systems
• INFOSYS 740 System Dynamics and Complex Modelling
• OPSMGT 760 Advanced Operations Systems
• OPSMGT 762 Quality Management
• STATS 779 Professional Skills for Statisticians
• STATS 783 Simulation and Monte Carlo Methods

30 points:

• COMPSCI 791 Dissertation