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Statistics

Unit of study table (Table A)

Statistics major

A major in Statistics requires 48 credit points from this table including:
(i) 12 credit points of 1000-level units according to the following rules:
(a) 6 credit points of calculus and 3 credit points of linear algebra and 3 credit points of statistics*. (Students in the Mathematical Sciences program must choose this option^);
(b) 3 credit points of calculus and 3 credit points of linear algebra and 6 credit points of data science*
(ii) 12 credit points of 2000-level core units
(iii) 12 credit points of 3000-level core units
(iv) 6 credit points of 3000-level interdisciplinary project units
(v) 6 credit points of 3000-level selective units
*Students not enrolled in the BSc may substitute ECMT1010 or BUSS1020
^If elective space allows, students may substitute DATA1001/1901 for the statistics unit

Statistics minor

A minor in Statistics requires 36 credit points from this table including:
(i) 12 credit points of 1000-level units according to the following rules:
(a) 6 credit points of calculus and 3 credit points of linear algebra and 3 credit points of statistics; or
(b) 3 credit points of calculus and 3 credit points of linear algebra and 6 credit points of data science
(ii) 12 credit points of 2000-level core units
(iii) 12 credit points of 3000-level selective units

 

Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition

1000-level units of study

Calculus
MATH1011
Applications of Calculus
3 HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics
MATH1001 or MATH1901 or MATH1906 or BIOM1003 or ENVX1001 or MATH1021 or MATH1921 or MATH1931
MATH1021
Calculus Of One Variable
3 HSC Mathematics Extension 1 or equivalent
MATH1901 or MATH1906 or ENVX1001 or MATH1001 or MATH1921 or MATH1931
MATH1921
Calculus Of One Variable (Advanced)
3 (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent
MATH1001 or MATH1906 or ENVX1001 or MATH1901 or MATH1021 or MATH1931
MATH1931
Calculus Of One Variable (SSP)
3 (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent
MATH1001 or MATH1901 or ENVX1001 or MATH1906 or MATH1021 or MATH1921
Enrolment is by invitation only
MATH1023
Multivariable Calculus and Modelling
3 Knowledge of complex numbers and methods of differential and integral calculus including integration by partial fractions and integration by parts as for example in MATH1021 or MATH1921 or MATH1931 or HSC Mathematics Extension 2
MATH1013 or MATH1903 or MATH1907 or MATH1003 or MATH1923 or MATH1933
MATH1923
Multivariable Calculus and Modelling (Adv)
3 (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent
MATH1003 or MATH1013 or MATH1907 or MATH1903 or MATH1023 or MATH1933
MATH1933
Multivariable Calculus and Modelling (SSP)
3 (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent
MATH1003 or MATH1903 or MATH1013 or MATH1907 or MATH1023 or MATH1923
Enrolment is by invitation only.
Linear algebra
MATH1002
Linear Algebra
3 HSC Mathematics or MATH1111. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February)
MATH1012 or MATH1014 or MATH1902
MATH1902
Linear Algebra (Advanced)
3 (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent
MATH1002 or MATH1014
MATH1014
Introduction to Linear Algebra
3 Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics
MATH1002 or MATH1902
Statistics
MATH1005
Statistical Thinking with Data
3 HSC Mathematics Advanced or equivalent
MATH1015 or MATH1905 or STAT1021 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901
MATH1905
Statistical Thinking with Data (Advanced)
3 HSC Mathematics Extension 2 or 90 or above in HSC Mathematics Extension 1 or equivalent
MATH1005 or MATH1015 or STAT1021 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901
Data science
DATA1001
Foundations of Data Science
6 DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021
DATA1901
Foundations of Data Science (Adv)
6 An ATAR of 95 or more
MATH1005 or MATH1905 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or MATH1115 or MATH1015 or STAT1021

2000-level units of study

Core
DATA2002
Data Analytics: Learning from Data
6 Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories
P DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)]
STAT2012 or STAT2912 or DATA2902
DATA2902
Data Analytics: Learning from Data (Adv)
6 Successful completion of a first-year or second-year unit in statistics or data science including a substantial coding component. The content from STAT2X11 will help but is not considered essential. Students who are not comfortable using the R software for statistical analysis should familiarise themselves before attempting the unit, e.g. taking OLET1632: Shark Bites and Other Data Stories
P A mark of 65 or above in (DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)])
STAT2012 or STAT2912 or DATA2002
STAT2011
Probability and Estimation Theory
6 (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
STAT2911
STAT2911
Probability and Statistical Models (Adv)
6 (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and a mark of 65 or greater in (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
STAT2011

3000-level units of study

Major core
STAT3022
Applied Linear Models
6 STAT2X11 and (DATA2X02 or STAT2X12)
STAT3912 or STAT3012 or STAT3922 or STAT4022
STAT3922
Applied Linear Models (Advanced)
6 STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]
STAT3912 or STAT3012 or STAT3022 or STAT4022
STAT3023
Statistical Inference
6 DATA2X02 or STAT2X12
STAT2X11
STAT3913 or STAT3013 or STAT3923
STAT3923
Statistical Inference (Advanced)
6 STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12)
STAT3913 or STAT3013 or STAT3023
Interdisciplinary projects
SCPU3001
Science Interdisciplinary Project
6 96 credit points
STAT3888
Statistical Machine Learning
6 STAT3012 or STAT3912 or STAT3022 or STAT3922
STAT2X11 and (DATA2X02 or STAT2X12)
STAT3914 or STAT3014
Major selective
STAT3021
Stochastic Processes
6 Students are expected to have a thorough knowledge of basic probability and integral calculus
STAT2X11
STAT3911 or STAT3011 or STAT3921 or STAT4021
STAT3921
Stochastic Processes (Advanced)
6 Students are expected to have a thorough knowledge of basic probability and integral calculus and to have achieved at credit level or above
STAT2X11
STAT3011 or STAT3911 or STAT3021 or STAT3003 or STAT3903 or STAT3005 or STAT3905 or STAT4021
STAT3925
Time Series (Advanced)
6 STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
STAT4025
STAT3926
Statistical Consulting (Advanced)
6 At least 12cp from STAT2X11 or STAT2X12 or DATA2X02 or STAT3XXX
STAT4026
Minor selective
STAT3021
Stochastic Processes
6 Students are expected to have a thorough knowledge of basic probability and integral calculus
STAT2X11
STAT3911 or STAT3011 or STAT3921 or STAT4021
STAT3921
Stochastic Processes (Advanced)
6 Students are expected to have a thorough knowledge of basic probability and integral calculus and to have achieved at credit level or above
STAT2X11
STAT3011 or STAT3911 or STAT3021 or STAT3003 or STAT3903 or STAT3005 or STAT3905 or STAT4021
STAT3022
Applied Linear Models
6 STAT2X11 and (DATA2X02 or STAT2X12)
STAT3912 or STAT3012 or STAT3922 or STAT4022
STAT3922
Applied Linear Models (Advanced)
6 STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]
STAT3912 or STAT3012 or STAT3022 or STAT4022
STAT3023
Statistical Inference
6 DATA2X02 or STAT2X12
STAT2X11
STAT3913 or STAT3013 or STAT3923
STAT3923
Statistical Inference (Advanced)
6 STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12)
STAT3913 or STAT3013 or STAT3023
STAT3888
Statistical Machine Learning
6 STAT3012 or STAT3912 or STAT3022 or STAT3922
STAT2X11 and (DATA2X02 or STAT2X12)
STAT3914 or STAT3014
STAT3925
Time Series (Advanced)
6 STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
STAT4025
STAT3926
Statistical Consulting (Advanced)
6 At least 12cp from STAT2X11 or STAT2X12 or DATA2X02 or STAT3XXX
STAT4026