Bachelor
Data scientists must be able to drive big data decisions and solve complex problems. This requires data professionals to master comprehensive technical and analytical skills. People who enjoy mathematics and have a strong interest in analytics, machine learning, artificial intelligence and consulting are a good fit for a career in the data science industry.
In order to qualify for entry to the Bachelor of Data Science applicants must meet the course entry criteria as prescribed. International students who's first language is not English must also meet the English Proficiency Requirements. Please refer to the prescribed course Entry Requirements.
Course Learning Outcomes
This course includes the following Course Learning Outcomes (CLOs):
a) CLO 2-Think critically to conceptualise, structure and interpret big data problems
b) CLO 3-Apply creative thinking to core Information and Communication Technology (ICT) concepts and principles
c) CLO 4-Communicate ICT concepts to both technical and non-technical audiences
d) CLO 5-Work collaboratively and effectively in the field of ICT
e) CLO 6-Apply ethical principles to the handling of data and information securely
f) CLO 7-Analyse, report and manage data, metadata and derived information using appropriate storage, access, analysis, reporting and administrative tools
g) CLO 8-Demonstrate proficiency in the use of data collection techniques, including quantitative modelling, and data visualisation methods for various types of data in a range of fields
h) CLO 9-Continue to develop skills and maintain a currency of knowledge as the field of ICT continues to develop and innovate
i) CLO 10-Apply organisational and business knowledge to applications within the field of ICT
j) CLO 11-Evaluate security risks associated with data storage, access and manipulation
k) CLO 12-Demonstrate understanding of the SFIA Foundation Skills Framework for the Information Age