Data Science

Introduction

If you are looking to up skill an existing skill set in the disciplines, but not limited to, Computer Science, Information Systems, Information Technology, Mathematics, Software Engineering, Statistics or Agriculture, a postgraduate course in Data Science may be for you.

On this page you can find information about our postgraduate course offerings of study in Data Science. You can find out about the individual subjects (units) that are offered in the courses. You can also find out about career opportunities and some of the advantages of studying Data Science at UNE.

Our Data Science course offerings are entry-level postgraduate course that complements any existing skill set and provides opportunity to up-skill for positions that have a rigorous quantitative aspect. Graduates from this program will be well-equipped to tackle complex data science challenges and play a leading role in the future development of data science solutions globally.

Why study Data Science?

In the digital age data is the core asset of every organization. It provides the basis for sensible, evidence-based decision making, and the ability to manage and make sense of the modern workplace. The volume of data is growing exponentially hence the employment demand for data scientists is growing
strongly.

The Master of Data Science is an entry-level postgraduate course that complements any existing skill set and provides opportunity to up-skill for positions that have a rigorous quantitative aspect.

Why study at UNE?

UNE has had extensive experience teaching computer science and IT.

We have expanded our core course offering to offer Post Graduate Certificate, Graduate Diploma and Master of Data Science.

The Master of Data Science is designed for graduates from all disciplines to complement their existing skills with a solid background in statistics and computer science, preparing them for advanced subjects in data science.

Career Opportunities

Data science is a rapidly growing field with outstanding employment prospects for appropriately qualified professionals. Potential positions include: data scientist, business intelligence analyst, data engineer, data architect, data strategist, healthcare data managers, bioinformatics analyst, computational scientist and research scientists.