Handbook

You can enrich your degree to hone your academic and professional skills with a range of flagship rich educational experiences. These flagship rich educational experience units may be credited in place of your discipline specific electives (up to 6 credit points) if approved by the faculty, or alternatively utilising your free electives. There are both 6 and 12 credit point unit options available.*

*If you are enrolled in a double degree there may be space available in the non-science side of your double degree to undertake flagship rich educational experiences. For information on eligible double degree combinations please see Flagship Rich Educational Experiences.

The course develops through theme studies in data challenges, techniques drawn from information technologies and mathematics, and applied studies. You will learn to apply the knowledge you gain in specialised information technology and mathematics studies to a series of projects. These skills will come together in a significant project unit in the third year of the course. You will also develop discipline specific skills in selected areas of study.

Part A. Data challenges
These studies will develop your analytical skills and advance your ability to apply key information technology and mathematical concepts and methods. These skills will be elaborated through studio-based learning using authentic case studies sourced from industry partners, and with examples drawn from STEM areas, business, law, the humanities and social sciences. Working in small teams or as individuals, you will realise the application of information technology and mathematical knowledge through authentic projects. Through designed experiences, you will learn to integrate a broad range of skills including collaborative work practices, communication, leadership and entrepreneurship to make you ready to approach the professions of the future.

Part B. Techniques for data science
Through this theme you will gain the technical foundation that underpins this program. You will acquire knowledge and skills in mathematics and the capacity to tackle challenging problems in a variety of situations. Through core data science studies, you will also attain the skills needed to effectively use, develop and manage complex data. These two areas are critical for tackling the diverse problems encountered in Part A of the course.

Part C. Applied studies
These studies will provide the foundation required to advance cross-disciplinary analytical thought. You will undertake a sequence of study in a discipline. The selection of studies available will ensure you can explore new and diverse areas and develop core strengths in studies that relate to data applications. In addition to the disciplinary expertise, you will develop an appreciation for the culture of your selected discipline, the development of ideas in a given subject area, and the contexts in which this is applied. Data applications relating to these subjects can then be incorporated through the learning experiences across Part A.

Part D. Elective

This will enable you to further develop your technical skills or extend your knowledge in your selected applied studies. Alternatively you can select units from across the university in which you are eligible to enrol.

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

Successful completion of this course may provide a pathway to the fourth year of the Bachelor of Applied Data Science Advanced (Honours) (S3003). To be eligible you must have achieved a minimum of a distinction average (70%) in 36 credit points of core level 3 units.  

Successful completion of this course may also provide a pathway to the Master of Data Science (C6004) or the Master of Mathematics (S6003).

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