Data Science (Major)

That’s where you come in. Learn to integrate and apply statistical and computational principles to solve real-world problems with large-scale data science, and set yourself up for the career of the future. 

Overview

• Over the past decade there has been an explosion in the amount of data captured from mobile phones, the internet, sensors and instruments. Capturing this data is big business, but how do we make sense of it all?
• In this major you’ll develop a strong foundation in the statistical aspects of data analysis (data collection, data mining, modelling and inference) and the principles of computer science (algorithms, data structures, data management and machine learning).

Your major structure

• You’ll complete this major as part of a Bachelor of Science degree.
• In your first and second years you’ll complete subjects that are prerequisites for your major, including mathematics, statistics and computing.
• In your third year, you will complete 50 points (four subjects) of deep and specialised study in data science.
• Throughout your degree you’ll also take science elective subjects and breadth (non-science) subjects.
• After completing the Data Science major in the Bachelor of Science, you’ll be well placed to move into the workforce, further study, or graduate research.

Career outcomes

• With this major you might pursue a career in business, financial services, climate and weather forecasting, engineering, mining, government, health and medical industries, information technology, communications, research, education, or sales and marketing.
• Our graduates boast job titles such as data analyst, business or strategy analyst, and data analytics consultant. They can be found in companies such as Telstra, IBM, EY, ANZ, Accenture, CSIRO and Microsoft.

Other graduate degrees you could consider are:

• Master of Computer Science
• Master of Science (Mathematics and Statistics).

Depending on the subjects you take in your Bachelor of Science, a range of other graduate degrees may be possible – in fields as diverse as science and technology, health sciences, teaching, law, business, humanities and more.

Acknowledgement of Country

• We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.