96 credit points
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Part A. Foundations for advanced data science studies

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24 credit points
You must complete the following units
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FIT9132
6 CP
Introduction to databases
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FIT9136
6 CP
Algorithms and programming foundations in Python
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FIT9137
6 CP
Introduction to computer architecture and networks
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MAT9004
6 CP
Mathematical foundations for data science
Part B. Core master's studies

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48 credit points
a. Core units
30 credit points

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You must complete the following units
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FIT5125
6 CP
IT research methods
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FIT5145
6 CP
Introduction to data science
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FIT5147
6 CP
Data exploration and visualisation
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FIT5196
6 CP
Data wrangling
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FIT5197
6 CP
Statistical data modelling
b. Additional data science units
18 credit points

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You must complete 18 credit points from the following units
FIT5149
6 CP
Applied data analysis
FIT5201
6 CP
Machine learning
FIT5202
6 CP
Data processing for big data
FIT5205
6 CP
Data in society
FIT5212
6 CP
Data analysis for semi-structured data
FIT5230
6 CP
Malicious AI
BMS5021
6 CP
Introduction to Bioinformatics
BMS5022
6 CP
Advanced bioinformatics: efficient genome, transcriptome and proteome analysis
Part C. Advanced practice

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24 credit points
You must complete one of the following options
a. Minor thesis research option
24 credit points

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Note 1
No credit points

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Enrolment in the research units is dependent on available supervisors and projects. If eligible you will be ranked based on your entire academic record and assessed for suitability to undertake the research component of this program.
Note 2
No credit points

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To be eligible for the research option, you must have successfully completed 24 credit points of level 5 FIT-coded units and have achieved an overall average of at least 75% across four completed FIT-coded level 5 units, and have achieved at least a distinction in FIT5125 IT research methods. If you are undertaking a single semester project you must have achieved an overall average of at least 80% across four completed FIT-coded level 5 units.
Note 3
No credit points

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For research projects in Bioinformatics, you must have successfully completed 24 credit points of level 5 units, and have achieved an overall average of at least 75% across all completed level 5 units, and have achieved at least a distinction (70%) in FIT5125 IT research methods and BMS5021 Introduction to bioinformatics. (The Bioinformatics option is not available in Vietnam.)
Masters thesis units
24 credit points

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You must complete the following units
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FIT5126
6 CP
Masters thesis part 1
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FIT5127
6 CP
Masters thesis part 2
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FIT5228
6 CP
Masters thesis part 3
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FIT5229
6 CP
Masters thesis final
OR
b. Industry experience option
24 credit points

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Industry experience units
18 credit points

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You must complete the following units
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FIT5120
12 CP
Industry experience studio project
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FIT5122
6 CP
Professional practice
Elective unit
6 credit points

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You must complete one level 5 elective unit (6 credit points). You must have the required prerequisites for the unit you choose. Note: Some units may have restrictions on enrolments.