Minor Overview

About this minor
The ability to understand and critically evaluate the assumptions which underlie data and its presentation are invaluable. A solid grasp of data science offers a key pathway to success in a broad range of careers across all sectors of endeavour. The Minor in Data Science provides a grounding in statistics, data analysis and computational thinking and is suitable for students in both non-STEM and STEM related fields. For students taking a minor which shares units with their other unit sets (majors or minors): in order for minors to be recognised on academic and graduation documents, students may only have a maximum of one unit overlapping between their unit sets.
Outcomes
Students are able to (1) critically assess the application and outcome of Data Science workflow to a problem; (2) select the appropriate statistical techniques for use in particular real-world settings
; (3) apply statistical techniques to data analysis using computational methods; (4) devise and implement computational models and simple numerical methods in a modern programming language; and (5) demonstrate the power of statistical concepts in the interpretation of data.
Incompatibility

MJD-DATSC Data Science;

MJD-CDSDM Computing and Data Science;

MNR-ASTAT Applied Statistical Learning

Units

Key to availability of units:
S1
Semester 1
S2
Semester 2
Take all units (12 points):

Availability Unit code Unit name Unit requirements
S1, S2 CITS1401 Computational Thinking with Python
Prerequisites
Successful completion of
Mathematics Methods ATAR or equivalent
or MATH1721 Mathematics Foundations: Methods
or MATX1721 Mathematics Foundations
or
Enrolment in
62510 Master of Information Technology
or 62530 Master of Data Science
or BH011 Bachelor of Engineering (Honours)
Incompatibility
CITS2401 Computer Analysis and Visualisation
S1, S2 STAT1400 Statistics for Science
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
Incompatibility
STAT1520 Economic and Business Statistics
Take the following unit:

Availability Unit code Unit name Unit requirements
S2 CITS2402 Introduction to Data Science
Prerequisites
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation
Take unit(s) to the value of 6 points:

Availability Unit code Unit name Unit requirements
S1 STAT2401 Analysis of Experiments
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
or
Enrolment in
62530 Master of Data Science
S2 STAT2402 Analysis of Observations
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
or
Enrolment in
62530 Master of Data Science