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
Upon successful completion, students will have the knowledge and skills to:
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Understand the principles, practice and issues associated with the field of data science
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Apply a range of data modelling, management, analytics and visualisation techniques to extract value structured and unstructured data
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Understand system infrastructures that support the acquisition, storage and retrieval of data
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Communicate and present their knowledge of data analytics to diverse audiences
Relevant Degrees
Requirements
This major requires the completion of 48 units, which must consist of:
18 units from completion of the following compulsory courses:
COMP2400 Relational Databases
COMP3425 Data Mining
COMP3430 Data Wrangling
30 units from completion of courses from the following list:
COMP3620 Artificial Intelligence
COMP4660 Bio-inspired Computing: Applications and Interfaces
COMP4670 Introduction to Statistical Machine Learning
COMP4620 Advanced Topics in Artificial Intelligence
COMP4650 Document Analysis
COMP4680 Advanced Topics in Statistical Machine Learning
This major is available only to students undertaking the Bachelor of Information Technology.
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