Bachelor of Data Science

Learning outcomes

On successful completion of the Bachelor of Data Science, graduates will be able to: 

• apply a broad and coherent knowledge of data science in diverse contexts and domains using critical thinking and judgment 

• employ appropriate methods and contemporary tools used in different domains of data science 

• communicate proficiently to a variety of audiences, function as an effective member or leader of a team, and use the contemporary tools and practices of project management within project work 

• apply professionalism, integrity, ethical conduct, accountability and an awareness of professional practice in global and Indigenous contexts

• utilise data analysis and decision-making methodologies to glean insights into industry relevant problems for the benefit of organisations 

• reflect on personal performance, learning, and self-management processes as a means of continued professional development and lifelong learning. 

Career opportunities

Graduates of this course will have extensive skills in data science, particularly relating to medium- and large-scale projects. They will have developed experience in working on team projects and will have well-developed oral and written communication skills. Potential career options for the graduates of this course include data scientist, data engineer, machine learning engineer, data warehouse architect, and data analyst.

Course rules

To qualify for the award of Bachelor of Data Science students must complete 300 credit points comprising of:

• eight [8] core units (100 credit points)

• eight [8] units of study from the Data Science Major (100 credit points)

• eight [8] units of other studies (100 credit points) comprising a co-major, minor, advanced minor or electives.

Students also have an opportunity to undertake a WIL Professional Placement.

Students complete no more than 150 credit points (normally 12 units) at Introductory Level (i.e. Stage 1). A unit of study can only be counted once. Where units are shared between majors and/or minors, students must choose an approved alternative unit.

Volume of learning

The Bachelor of Data Science of 300 credit points. Units normally carry 12.5 credit points (cps). A standard annual full-time load comprises 100 credit points and a part-time load comprises 50 credit points. The volume of learning of the Bachelor of Data Science is typically 3 years.

Professional placements

Professional Placements are subject to a competitive selection process. International students may be required to change courses in order to complete a placement and should consider visa implications and extended study duration prior to applying.

Students who undertake a 12-month professional placement are subject to the following course rules and must complete 375 credit points comprising:

• eight [8] Data Science Core units (100 credit points)

• eight [8] units of study from the Data Science major (100 credit points)

• four [4] units of study from the Professional Placement Co-Major (100 credit points); and

• six [6] units of other studies (75 credit points) comprising a minor, advanced minor or electives.
   

Students who undertake a 6-month professional placement are subject to the following course rules and must complete 337.5 credit points comprising:

• eight [8] Data Science Core units (100 credit points)

• eight [8] units of study from the Data Science major (100 credit points)

• two [2] units of study from the Professional Placement Minor (50 credit points); and

• seven [7] units of other studies (87.5 credit points) comprising a minor, advanced minor or electives.

Maximum Academic Credit

The maximum level of credit that can be granted for the Bachelor of Computer Science is 200 credit points (normally 16 units).