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
Other Information
This major is not available to BADAN students.
Relevant Degrees
Requirements
The DTSC major requires the completion of 48 units, of which:
A maximum of 18 units may come from completion of 1000-level courses
A minimum of 18 units must come from completion of 3000 and 4000-level courses
12 units from completion of the following compulsory courses:
COMP3425 Data Mining
COMP3430 Data Wrangling
36 units from completion of courses from the following list:
COMP2120 Software Engineering
COMP2700 Cyber Security Foundations
COMP3670 Introduction to Machine Learning
COMP4650 Document Analysis
COMP4880 Computational Methods for Network Science
MATH2307 Bioinformatics and Biological Modelling
SOCR3001 Data for Decision Making
STAT1003 Statistical Techniques
This major is not available to BADAN students.
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