Quantitative Life Sciences

Unit outlines will be available through Find a unit outline two weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
 

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

QUANTITATIVE LIFE SCIENCES

Quantitative Life Sciences major

A major in Quantitative Life Sciences requires 48 credit points from this table including:
(i) 6 credit points of 1000-level selective units
(ii) 6 credit points of 1000-level core units
(iii) 6 credit points of 2000-level selective units from List 1
(iv) 12 credit points of 2000-level selective units from List 2
(v) 6 credit points of 3000-level methodology units
(vi) 6 credit points of 3000-level selective interdisciplinary project units
(vii) 6 credit points of 3000-level selective specialisation units

Quantitative Life Sciences minor

A minor in Quantitative Life Sciences requires 36 credit points from this table including:
(i) 6 credit points of 1000-level selective units
(ii) 6 credit points of 1000-level core units
(iii) 6 credit points of 2000-level selective units from List 1
(iv) 12 credit points of 2000-level selective units from List 2
(v) 6 credit points of 3000-level methodology units

Units of study

The units of study are listed below.

1000-level units of study

Core
BIOL1007
From Molecules to Ecosystems
6    A HSC Biology. Students who have not completed HSC Biology (or equivalent) are strongly advised to take the Biology Bridging Course (offered in February).
N BIOL1907 or BIOL1997
Intensive February
Semester 2
BIOL1907
From Molecules to Ecosystems (Advanced)
6    A 85 or above in HSC Biology or equivalent
N BIOL1007 or BIOL1997

Note: Department permission required for enrolment

Semester 2
BIOL1997
From Molecules to Ecosystems (SSP)
6    A 90 or above in HSC Biology or equivalent
N BIOL1007 or BIOL1907

Note: Department permission required for enrolment

Semester 2
Selective
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
Semester 1
Semester 2
DATA1901
Foundations of Data Science (Adv)
6    A An ATAR of 95 or more
N MATH1005 or MATH1905 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or MATH1115 or MATH1015 or STAT1021
Semester 1
Semester 2
ENVX1002
Introduction to Statistical Methods
6    N ENVX1001 or MATH1005 or MATH1905 or MATH1015 or MATH1115 or DATA1001 or DATA1901 or BUSS1020 or STAT1021 or ECMT1010


Available as a degree core unit only in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness, and Taronga Wildlife Conservation streams
Semester 1
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
MATH1902
Linear Algebra (Advanced)
3    A (HSC Mathematics Extension 2) OR (90 or above in HSC Mathematics Extension 1) or equivalent
N MATH1002 or MATH1014

Note: Department permission required for enrolment

Semester 1
MATH1005
Statistical Thinking with Data
3    A HSC Mathematics Advanced or equivalent.
N MATH1015 or MATH1905 or STAT1021 or ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901
Intensive February
Semester 1
Semester 2
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 ECMT1010 or ENVX1001 or ENVX1002 or BUSS1020 or DATA1001 or DATA1901
Semester 2
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.
N MATH1001 or MATH1901 or MATH1906 or BIOM1003 or ENVX1001 or MATH1021 or MATH1921 or MATH1931
Semester 1
MATH1013
Mathematical Modelling
3    A HSC Mathematics or a credit or higher in 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 MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933
Intensive February
Semester 2
MATH1014
Introduction to Linear Algebra
3    A Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics
N MATH1002 or MATH1902
Intensive February
Semester 2

2000-level units of study

Selective - List 1
ENVX2001
Applied Statistical Methods
6    P [6cp from (ENVX1001 or ENVX1002 or BIOM1003 or MATH1011 or MATH1015 or DATA1001 or DATA1901)] OR [3cp from (MATH1XX1 or MATH1906 or MATH1XX3 or MATH1907) and an additional 3cp from (MATH1XX5)]
Semester 1
QBIO2001
Molecular Systems Biology
6    A Basic concepts in metabolism; protein synthesis; gene regulation; quantitative and statistical skills
Semester 1
Selective - List 2
BIOL2022
Biology Experimental Design and Analysis
6    A BIOL1XXX or MBLG1XXX
P 6cp from (BIOL1XXX or MBLG1XXX or ENVX1001 or ENVX1002 or DATA1001 or MATH1XX5)
N BIOL2922 or BIOL3006 or BIOL3906
Semester 2
BIOL2029
Cells
6    P BIOL1XX3 or BIOL1XX7 or BIOL1XX8 or MBLG1XXX or MEDS1X01
N BIOL2016 or BIOL2916 or BIOL2929
Semester 1
BIOL2929
Cells (Advanced)
6    P A mark of at least 70 from (BIOL1XX3 or BIOL1XX7 or BIOL1XX8 or MBLG1XXX or MEDS1X01)
N BIOL2016 or BIOL2916 orBIOL2029
Semester 1
DATA2002
Data Analytics: Learning from Data
6    A Basic linear algebra and some coding for example MATH1014 or MATH1002 or MATH1902 and DATA1001 or DATA1901
P 6 cp of DATA1X01 or ENVX1001 or ENVX1002 or STAT2X11 or BUSS1020 or ECMT1010 or STAT1021 or [MATH1115 and MATH10X5] or [MATH1905 and MATH1XXX]
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 6 cp of DATA1901 or STAT2911 or (MATH1905 and MATH1XXX) or a mark of 65 or above in (DATA1001 or ENVX1001 or ENVX1002 or BUSS1020 or ECMT1010 or STAT1021 or STAT2011) or an average mark of 65 or above in (MATH10X5 and MATH1115)
N STAT2012 or STAT2912 or DATA2002
Semester 2
ENVX2001
Applied Statistical Methods
6    P [6cp from (ENVX1001 or ENVX1002 or BIOM1003 or MATH1011 or MATH1015 or DATA1001 or DATA1901)] OR [3cp from (MATH1XX1 or MATH1906 or MATH1XX3 or MATH1907) and an additional 3cp from (MATH1XX5)]
Semester 1
QBIO2001
Molecular Systems Biology
6    A Basic concepts in metabolism; protein synthesis; gene regulation; quantitative and statistical skills
Semester 1

3000-level units of study

Methodology
ENVX3002
Statistics in the Natural Sciences
6    P ENVX2001 or STAT2X12 or BIOL2X22 or DATA2X02 or QBIO2001
Semester 1
QBIO3001
Computational Systems Biology
6    P QBIO2001 and 6cp from (GEGE2X01 or GENE2002 or AVBS2005 or BCMB2X01 or BCHM2X72 or MEDS2003)
Semester 1
Selective Interdisciplinary Project
QBIO3888
Quantitative Biology Interdisciplinary Unit
6    P 12cp from (ENVX2001 or BIOL2X22 or GEGE2X01 or AVBS2005 or BCMB2X01 or MEDS2003 or QBIO2001 or DATA2X02 or BCHM2X72 or GENE2002 or SOIL2005 or AGRI2001 or ENSC2001 or BIOL2X24 or BIOL2032)
Semester 2
SCPU3001
Science Interdisciplinary Project
6    P 96 credit points
Intensive February
Intensive July
Semester 1
Semester 2
Specialisation
AMED3002
Interrogating Biomedical and Health Data
6    A Exploratory data analysis, sampling, simple linear regression, t-tests, confidence intervals and chi-squared goodness of fit tests, familiar with basic coding, basic linear algebra.
Semester 1
BCMB3004
Beyond The Genome
6    A Biochemistry, genetics, cell and/or molecular biology concepts at 2000-level units
P 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001)
N BCHM3X92 or BCMB3904
Semester 2
BCMB3904
Beyond The Genome (Advanced)
6    A Biochemistry, genetics, cell and/or molecular biology concepts at 2000-level units
P An average mark of 75 or above in 12 credit points from (AMED3001 or BCHM2X71 or BCHM2X72 or BCHM3XXX or BCMB2X01 or BCMB2X02 or BCMB3XXX or BIOL2X29 or BMED2401 or BMED2405 or GEGE2X01 or MBLG2X01 or MEDS2002 or MEDS2003 or PCOL2X21 or QBIO2001)
N BCHM3X92 or BCMB3004
Semester 2
BIOL3018
Gene Technology and Genomics
6    P (MBLG2X72 or GEGE2X01 or GENE2002) and 6cp from (MBLG2X71 or BCMB2XXX or QBIO2001 or IMMU2XXX or BIOL2XXX or MEDS2003)
N BIOL3918
Semester 1
BIOL3918
Gene Technology and Genomics (Adv)
6    P A mark of 75 or above in (GEGE2X01 or MBLG2X72 or GENE2002) and a mark of 75 or above in (MBLG2X71 or BIOL2XXX or BCMB2XXX or QBIO2001 or IMMU2XXX or MEDS2003)
N BIOL3018
Semester 1
ENVX3001
Environmental GIS
6    P 6cp from (ENVI1003 or AGEN1002) or 6cp from GEOS1XXX or 6cp from BIOL1XXX or GEOS2X11
Semester 2
ENVX3002
Statistics in the Natural Sciences
6    P ENVX2001 or STAT2X12 or BIOL2X22 or DATA2X02 or QBIO2001
Semester 1
ENVX3003
Hydrological Monitoring and Modelling
6    A SOIL2005 or GEOS2116 or ENVI1003 or GEOS1001 or ENSC2001
P Completion of 72 credit points of units of study
N LWSC3007
Semester 2
GEGE3004
Applied Genomics
6    A Genetics at 2000 level, Biology at 1000 level, algebra
P 6cp of (GEGE2X01 or QBIO2XXX or DATA2X01 or GENE2XXX or MBLG2X72 or ENVX2001 or DATA2X02)
N ANSC3107


This unit must be taken by all students in the Genetics and Genomics major.
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