Data Science, Bachelor

This course covers the theory and the practical tools for data acquisition, storage, management, processing, analysis and visualisation.  Ethical considerations, communication, collaboration and critical thinking skills are all given detailed coverage. Your course progression has been carefully crafted to cater for the diversity of specialist mathematics skills, to scaffold your development in coding, particularly in data science-relevant languages, and to prepare you for a rewarding career in data science. In addition, a suite of four-unit minor offerings is available so you can specialise in a number of complementary areas, including Optimisation and Stochastic Modelling, Computational and Simulation Science, and Information Systems. In your third year, your studies will culminate in the Data Science Capstone Project, where you’ll work with an industry partner to solve a significant real-world problem using real-world data sets. This will synthesise your knowledge and techniques in solving complex authentic problems, and build your preparedness to enter the industry. Data science is an ever-changing landscape and at the completion of this course, you’ll be ideally positioned to move with it, having developed a set of fundamental tools and techniques, and the critical thinking to play a leading role in transforming industry. 

Flexible delivery

Every unit of this course has been developed to be offered in online and on-campus environments. This is a digitally enhanced course where technology is integrated into all aspects of online and on-campus teaching, learning and assessment. You will be able to access learning resources, activities and assessment remotely. Remote learners may be required to undertake key activities at designated locations, including some invigilated assessment such as at hosted assessment centres.