Minor Overview

About this minor
The minor provides students with a sequence of statistical units in data science which starts with basic ideas in data science and ends with sophisticated (third-year) methods in modern statistical learning, computational statistics and data analysis. These approaches will equip the students with statistical and computational skills to find appropriate data analysis solutions to problems in a diverse range of areas including the physical sciences, medical and biological sciences, engineering, business and social sciences. 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) apply the basic concepts and methods of statistical learning; (2) use suitable software to analyse data
; (3) identify appropriate supervised or unsupervised approaches for specific data and problems; (4) critically assess the suitability of a specific approach for solving a particular data science problem; (5) interpret the results of an analysis; and (6) communicate the results of an analysis in verbal and written form for non-experts..
Incompatibility

MJD-DATSC Data Science;

MJD-CDSDM Computing and Data Science;

MJD-HSDEM Human Sciences and Data Analytics;

MNR-DATSC Data Science

Units

S1
Semester 1
S2
Semester 2
Take the following unit:

Availability Unit code Unit name Unit requirements
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 all units (12 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
Take the following unit:

Availability Unit code Unit name Unit requirements
S1 STAT3406 Applied Statistics and Data Visualisation
Prerequisites

Course Enrolment in
the MJD-QTMTD Quantitative Methods major
or the MJD-HSDEM Human Sciences and Data Analytics major
or the MNR-ASTAT Applied Statistical Learning minor
and STAT2401 Analysis of Experiments
and STAT2402 Analysis of Observations
or STAT2062 Fundamentals of Probability with Applications
Incompatibility
STAT4064 Applied Predictive Modelling