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 (thirdyear) 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 nonexperts..  Incompatibility
MJDDATSC Data Science;
MJDCDSDM Computing and Data Science;
MJDHSDEM Human Sciences and Data Analytics;
MNRDATSC Data Science
Units
Key to availability of units:
 S1
 Semester 1
 S2
 Semester 2
Take the following unit:
Availability  Unit code  Unit name  Unit requirements 

S1, S2  STAT1400  Statistics for Science 
Take all units (12 points):
Availability  Unit code  Unit name  Unit requirements 

S1  STAT2401  Analysis of Experiments  
S2  STAT2402  Analysis of Observations 
Take the following unit:
Availability  Unit code  Unit name  Unit requirements 

S1  STAT3406  Applied Statistics and Data Visualisation 
