The data science major teaches the principles, theories and skills used in developing methods to collect, manage, analyse, and interpret data in various formats and at a large scale. Students will learn to use a broad range of techniques to extract knowledge and insights from large and complex data, including structured and unstructured data. The program will involve courses in areas such as database systems, data mining, document analysis, artificial intelligence and machine learning.
Learning Outcomes
- Understand the principles, practices and issues associated with the field of data science
- Apply a range of data modelling, management, analytics and visualisation techniques to extract value from structured and unstructured data
- Examine system infrastructures that support the acquisition, storage and retrieval of data
- Communicate and present knowledge of data analytics to diverse audiences
Relevant Degrees
Requirements
This major is not available to BADAN students.
This major requires the completion of 48 units, which must consist of a minimum of 18 units of 3000-level courses.
The 48 units must consist of:
18 units from completion of the following compulsory courses:
COMP2400 Relational Databases
COMP3425 Data Mining
COMP3430 Data Wrangling
AND
6 units from completion of a course from the following list:
COMP1730 Programming for Scientists
COMP1110 Structured Programming
COMP1140 Structured Programming (Advanced)
AND
24 units from completion of courses from the following list:
COMP2120 Software Engineering
COMP2700 Cyber Security Foundations
COMP3620? Artificial Intelligence
COMP3670 Introduction to Machine Learning
COMP4650? Document Analysis
COMP4880 Computational Methods for Network Science
DESN2003 Creative Data Visualisation: Representing Data in Visual and Material Form
MATH2307 Bioinformatics and Biological Modelling
SOCR3001 Data for Decision Making
STAT1003 Statistical Techniques
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