Master of Data Science

To be eligible to study this course, applicants must meet the following entry requirements:

• Completed an undergraduate degree in Data Science or cognate discipline (e.g., Computer Science, Economics, Mathematics, Statistics); AND
• Have sufficient Data Science background as indicated by an average mark of 70 or above across three Level III courses in Mathematics and/or Statistics and/or Computer Science and/or Econometrics; AND
• Be proficient in the English language.

Entry via nested qualification

• For those who do not qualify for direct entry into the master’s program, you may be eligible for entry into the Graduate Diploma in Data Science. Generally, if you successfully complete the Graduate Diploma with a WAM of 65 or above, you can progress to the Masters.

In this data science course, the subjects you may study include:

Core Courses

• Principles of Programming
• Foundations of Data Science
• Statistical Inference
• Data Mining and Machine Learning^
• Regression Analysis#+
• Capstone Data Science Project

Elective Courses

Six electives from the following courses (one of which must be from the * course):

• Big Data Management*^
• Data Visualisation and Communication*#
• Multivariate Analysis for Data Scientists*#+
• Neural Networks, Deep Learning^
• Bayesian Inference and Computation Decision Making in Analytics#
• Data and Ethics
• Strategic Decision Making
• Database Systems

^Prerequisite: Principles of Programming. #Pre-requisite: Foundations of Data Science. +Prerequisite: Statistical Inference for Data Scientists.