Data Science, Testamur Major

  • Western Sydney University Major Code: T079

Previous Code:  MT3038.1

Available to students in other Western Sydney University programs?  No

Data is ubiquitous, and analysing data plays an increasingly important role in many careers. Data Science is based on mathematics and statistics, but there is more to it: a Data Scientist has the required expertise to convert all forms of data into valuable information. Building on the Bachelor of Mathematics, this major equips graduates with additional skills and knowledge for designing experimental studies, building and fitting of models, visualisation, estimation and prediction, storage and retrieval of big data. Such skills are essential for tasks such as the analysis of customer transactions and behaviour, scientific investigations, financial trends, and online behaviour.

Location

Campus Mode Advice
Campbelltown Campus Internal Associate Professor Volker Gebhardt
Parramatta Campus - Victoria Road Internal Associate Professor Volker Gebhardt
Penrith Campus Internal Associate Professor Volker Gebhardt

Recommended Sequence

Students must successfully complete 80 credit points as per the recommended sequences below.

Full-time start-year intake

Plan of Study Grid
Year 1
Spring sessionCredit Points
MATH 2011 Making Sense of Data 10
COMP 2025 Introduction to Data Science 10
 Credit Points20
Year 2
Autumn session
COMP 1013 Analytics Programming 10
 Credit Points10
Spring session
COMP 2014 Object Oriented Programming 10
 Credit Points10
Year 3
Autumn session
COMP 2026 Visual Analytics 10
MATH 3011 Probabilistic Models and Inference 10
 Credit Points20
Spring session
MATH 3005 Environmental Informatics 10
COMP 3020 Social Web Analytics 10
 Credit Points20
 Total Credit Points80

 Equivalent Subjects  

The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.  

MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science

MATH 1002 Analytics Programming,  replaced by COMP 1013 Analytics Programming

MATH 2014 Visual Analytics, replaced by  COMP 2026 Visual Analytics

Part-time start-year intake

Plan of Study Grid
Year 1
Spring sessionCredit Points
MATH 2011 Making Sense of Data 10
 Credit Points10
Year 2
Spring session
COMP 2025 Introduction to Data Science 10
 Credit Points10
Year 4
Autumn session
COMP 1013 Analytics Programming 10
 Credit Points10
Spring session
COMP 2014 Object Oriented Programming 10
 Credit Points10
Year 5
Autumn session
COMP 2026 Visual Analytics 10
 Credit Points10
Spring session
COMP 3020 Social Web Analytics 10
 Credit Points10
Year 6
Autumn session
MATH 3011 Probabilistic Models and Inference 10
 Credit Points10
Spring session
MATH 3005 Environmental Informatics 10
 Credit Points10
 Total Credit Points80

 Equivalent Subjects  

The subjects listed below count towards completion of this program for students who passed these subjects in 2021 or earlier.  

MATH 2009 Introduction to Data Science, replaced by COMP 2025 Introduction to Data Science

MATH 1002 Analytics Programming,  replaced by COMP 1013 Analytics Programming

MATH 2014 Visual Analytics, replaced by  COMP 2026 Visual Analytics

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