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.
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.
As a graduate you will be an agile problem-solver capable of tackling real-world problems by applying the insights gained from extracting knowledge from data. Your comprehensive knowledge of data science tools and techniques will be employed to design new solutions that drive progress and innovation guided at all times by your appreciation of the ethical considerations concerning the use of data in decision-making.
You'll be knowledgeable and experienced in selecting from and applying appropriate statistical computational and modelling techniques including scalable approaches to big data and working with complex or unstructured data.
At the completion of this course you will be confident in the use of appropriate tools to create pipelines for data acquisition storage management processing analysis and visualisation and possess a deep understanding of the theoretical foundations underpinning each step.
As a data science professional your skills will be highly attuned equipping you to effectively communicate your data-driven insights to broader audiences expert and non-expert alike. You will be experienced at interacting effectively within and across teams working independently and appraising your own continuing professional development.
Your QUT Bachelor of Data Science degree consists of 288 credit points (24 units) arranged as follows:
(a) 192 credit points (16 units) of Core discipline units; and
(b) 96 credit points of complementary studies comprising of two Minors (4 unit set each) chosen from:
Your QUT Bachelor of Data Science degree consists of 288 credit points (24 units) arranged as follows:
(a) 192 credit points (16 units) of Core discipline units; and
(b) 96 credit points of complementary studies comprising of two Minors (4 unit set each) chosen from: