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Unit Set Information

Data Science Major

Effective from 01-JAN-2027 : Code MAAAJJ

The Data Science major provides students with foundational knowledge and skills in the acquisition, management, analysis, and communication of data to support evidence-based decision making across domains such as healthcare, biomedical science, environmental monitoring, biological science, sports analytics, and computer science. Students develop capabilities in data management, statistical and computational modelling, and reproducible data science workflows using contemporary tools and programming practices. The major emphasises critical analysis, effective communication through visualisation and reporting, and the application of ethical and responsible data practices, including privacy, security, and the use of artificial intelligence.

Disclaimer

This unit set information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the unit and unit set offerings, as these differ according to course delivery location.

This Major can be studied in the following courses:

Mode of Delivery

On Campus at Ecu Sri Lanka, Joondalup
Online

Unit Set Coordinator

Dr Kat O'MARA

Learning Outcomes

  1. Apply appropriate data quality, governance, and security practices to acquire, manage, and prepare data from diverse sources.
  2. Generate valid insights and predictions by applying statistical, mathematical, and computational methods to analyse data and develop models.
  3. Design and implement data science solutions using programming, tools, and reproducible workflows.
  4. Communicate data-driven insights effectively using appropriate visualisation, reporting, and presentation techniques.
  5. Solve real-world problems by applying ethical principles, professional standards, and domain knowledge using data science approaches.

Employment Opportunities

Data Analyst, Data Scientist, Machine Learning Engineer, Business Intelligence Specialist

Major Structure

Unit Code Unit Title Credit Points
MAT1114Introductory Statistics15
DAT2100Data Science Fundamentals15
MAT2110Applied Statistics15
MAT2440Time Series Forecasting15
DAT3100Principles of Data Visualisation15
MAT3120Machine Learning15
Students who have already completed MAT1114 should take MAT1252 instead.
MAT1252 ^Mathematics for Computing15
Students in K05, T89 or Y14 also need to complete CSG1207 and CSP1150
CSP1150 ^Programming Principles15
CSG1207 ^Database Systems15

^ Core Option

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

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