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The Master of Data Science is a postgraduate degree program that focuses on the study and application of data analysis, machine learning, and statistical modeling techniques to extract insights, make predictions, and solve complex problems using large and diverse datasets, preparing students for careers in data-driven decision-making and data-driven innovation across various industries.
The Master of Data Science comprises 96 credit points structured into three parts:
Part A. Foundations for advanced data science studies (24 credit points)
These studies will provide an orientation to the field of data science at graduate level. They are intended for students whose previous qualification is not in a relevant field.
Part B. Core master's studies (48 credit points)
These studies draw on best practices within the broad realm of data science practice and research. You will gain a critical understanding of theoretical and practical issues relating to data science.
Choose one of the following:
Part C. Advanced practice (24 credit points)
The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development. You have two options: