University of Sydney Handbooks - 2019 Archive

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Statistics Table

Errata
Item Errata Date
1.

The prerequisites have been removed for the following units:

MATH1011 Applications of Calculus
MATH1021
Calculus Of One Variable
MATH1023 Multivariable Calculus and Modelling

12/12/2018
2.

The prerequisites have been removed and the assumed kowledge has changed for the following units:

MATH1921 Calculus Of One Variable (Advanced): Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent.

MATH1931 Calculus Of One Variable (SSP): Prerequisites have been removed. Assumed knowledge  now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent.

MATH1923 Multivariable Calculus and Modelling (Adv): Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent

MATH1933 Multivariable Calculus and Modelling (SSP):Prerequisites have been removed. Assumed knowledge now reads: (HSC Mathematics Extension 2) OR (Band E4 in HSC Mathematics Extension 1) or equivalent.

12/12/2018
Unit of study Credit points A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition Session

STATISTICS

Advanced coursework and projects will be available in 2020 for students who complete this major.

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 or 4000-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 or 4000-level selective units

Units of study

The units of study are listed below.

1000-level units of study

Calculus units
MATH1021
Calculus Of One Variable
3    A HSC Mathematics Extension 1 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1011 or MATH1901 or MATH1906 or ENVX1001 or MATH1001 or MATH1921 or MATH1931
Semester 1
Semester 2
Summer Main
MATH1921
Calculus Of One Variable (Advanced)
3    A HSC Mathematics Extension 2 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1001 or MATH1011 or MATH1906 or ENVX1001 or MATH1901 or MATH1021 or MATH1931

Note: Department permission required for enrolment

Semester 1
MATH1931
Calculus Of One Variable (SSP)
3    A Band 4 in HSC Mathematics Extension 2 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1001 or MATH1011 or MATH1901 or ENVX1001 or MATH1906 or MATH1021 or MATH1921

Note: Department permission required for enrolment
Enrolment is by invitation only
Semester 1
MATH1011
Applications of Calculus
3    A 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.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1001 or MATH1901 or MATH1906 or BIOM1003 or ENVX1001 or MATH1021 or MATH1921 or MATH1931
Semester 1
Summer Main
MATH1023
Multivariable Calculus and Modelling
3    A MATH1X21, HSC Mathematics Extension 1 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1013 or MATH1903 or MATH1907 or MATH1003 or MATH1923 or MATH1933
Semester 1
Semester 2
Summer Main
MATH1923
Multivariable Calculus and Modelling (Adv)
3    A MATH1X21, HSC Mathematics Extension 2 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1003 or MATH1013 or MATH1907 or MATH1903 or MATH1023 or MATH1933

Note: Department permission required for enrolment

Semester 2
MATH1933
Multivariable Calculus and Modelling (SSP)
3    A MATH1X21, Band 4 in HSC Mathematics Extension 2 or equivalent.
P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111
N MATH1003 or MATH1903 or MATH1013 or MATH1907 or MATH1023 or MATH1923

Note: Department permission required for enrolment
Enrolment is by invitation only.
Semester 2
Linear algebra units
MATH1002
Linear Algebra
3    A 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).
N MATH1012 or MATH1014 or MATH1902
Semester 1
Summer Main
MATH1902
Linear Algebra (Advanced)
3    A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent
N MATH1002 or MATH1012 or MATH1014

Note: Department permission required for enrolment

Semester 1
MATH1014
Introduction to Linear Algebra
3    A 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). Please note: this unit does not normally lead to a major in Mathematics or Statistics or Financial Mathematics and Statistics.
N MATH1012 or MATH1002 or MATH1902
Semester 2
Summer Main
Statistics units
MATH1005
Statistical Thinking with Data
3    A HSC Mathematics. Students who have not completed HSC Mathematics (or equivalent) are strongly advised to take the Mathematics Bridging Course (offered in February).
N MATH1015 or MATH1905 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901
Semester 1
Semester 2
Summer Main
MATH1905
Statistical Thinking with Data (Advanced)
3    A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent
N MATH1005 or MATH1015 or STAT1021 or STAT1022 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901

Note: Department permission required for enrolment

Semester 2
Data science units
DATA1001
Foundations of Data Science
6    N DATA1901 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or ENVX1001 or ENVX1002 or ECMT1010 or BUSS1020 or STAT1021 or STAT1022
Semester 1
Semester 2
DATA1901
Foundations of Data Science (Adv)
6    A An ATAR of 95 or more
N MATH1905 or ECMT1010 or ENVX2001 or BUSS1020 or DATA1001 or MATH1115
Semester 1
Semester 2

2000-level units of study

Core
DATA2002
Data Analytics: Learning from Data
6    A Basic Linear Algebra and some coding
P [DATA1001 or ENVX1001 or ENVX1002] or [MATH10X5 and MATH1115] or [MATH10X5 and STAT2011] or [MATH1905 and MATH1XXX (except MATH1XX5)] or [BUSS1020 or ECMT1010 or STAT1021]
N STAT2012 or STAT2912 or DATA2902
Semester 2
DATA2902
Data Analytics: Learning from Data (Adv)
6    A Basic linear algebra and some coding for example MATH1014 or MATH1002 or MATH1902 and DATA1001 or DATA1901
P A mark of 65 or above in any of the following (DATA1001 or DATA1901 or ENVX1001 or ENVX1002) or (MATH10X5 and MATH1115) or (MATH10X5 and STAT2011) or (MATH1905 and MATH1XXX [except MATH1XX5]) or (QBUS1020 or ECMT1020 or STAT1021)
N STAT2012 or STAT2912 or DATA2002
Semester 2
STAT2912
Statistical Tests (Advanced)

This unit of study is not available in 2019

6    A STAT2911
P MATH1905 or Credit in MATH1005 or Credit in ECMT1010 or Credit in BUSS1020
N STAT2012 or STAT2004 or DATA2002
Semester 2
STAT2011
Probability and Estimation Theory
6    P (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
N STAT2911
Semester 1
STAT2911
Probability and Statistical Models (Adv)
6    P (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)
N STAT2011
Semester 1

3000-level units of study

Major core
STAT3022
Applied Linear Models
6    P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3912 or STAT3012 or STAT3922
Semester 1
STAT3922
Applied Linear Models (Advanced)
6    P STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]
N STAT3912 or STAT3012 or STAT3022
Semester 1
STAT3023
Statistical Inference
6    A DATA2X02 or STAT2X12
P STAT2X11
N STAT3913 or STAT3013 or STAT3923
Semester 2
STAT3923
Statistical Inference (Advanced)
6    P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12)
N STAT3913 or STAT3013 or STAT3023
Semester 2
Interdisciplinary projects
STAT3888
Statistical Machine Learning
6    A STAT3012 or STAT3912 or STAT3022 or STAT3922
P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3914 or STAT3014
Semester 2
SCPU3001
Science Interdisciplinary Project
6    P Completion of 2000-level units required for at least one Science major.
Intensive December
Intensive February
Intensive January
Intensive July
Semester 1
Semester 2
Major selective
STAT3021
Stochastic Processes
6    P STAT2X11 and (MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933)
N STAT3911 or STAT3011
Semester 1
Minor selective
STAT3021
Stochastic Processes
6    P STAT2X11 and (MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933)
N STAT3911 or STAT3011
Semester 1
STAT3022
Applied Linear Models
6    P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3912 or STAT3012 or STAT3922
Semester 1
STAT3922
Applied Linear Models (Advanced)
6    P STAT2X11 and [a mark of 65 or greater in (STAT2X12 or DATA2X02)]
N STAT3912 or STAT3012 or STAT3022
Semester 1
STAT3023
Statistical Inference
6    A DATA2X02 or STAT2X12
P STAT2X11
N STAT3913 or STAT3013 or STAT3923
Semester 2
STAT3923
Statistical Inference (Advanced)
6    P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12)
N STAT3913 or STAT3013 or STAT3023
Semester 2
STAT3888
Statistical Machine Learning
6    A STAT3012 or STAT3912 or STAT3022 or STAT3922
P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3914 or STAT3014
Semester 2

4000-level units of study

Selective
STAT4025
Time Series
6    P STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
N STAT3925
Semester 1
STAT4026
Statistical Consulting
6    P At least 12cp from STAT2X11, STAT2X12, DATA2X02 and STAT3XXX
N STAT3926
Semester 1
Further units to be developed for offering in 2020.