Quantitative Life Sciences Table
Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.
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 |
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Quantitative Life Sciences major |
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| 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 |
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| 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 |
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| The units of study are listed below. | |||
1000-level units of study |
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Core |
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| 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 |
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 |
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| 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 |
Intensive January 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 January 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 |
Intensive January 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 January 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 January Semester 2 |
2000-level units of study |
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Selective - List 1 |
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| 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 |
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| BIOL2022 Biology Experimental Design and Analysis |
6 | A BIOL1XXX or MBLG1XXX P BIOL1XXX or MBLG1XXX or ENVX1001 or ENVX1002 or DATA1X01 or MATH1XX5 or ENVI1003 N BIOL2922 or BIOL3006 or BIOL3906 |
Semester 2 |
| BIOL2029 Cell Biology |
6 | P BIOL1XX3 or BIOL1XX7 or BIOL1XX8 or MBLG1XXX or MEDS1X01 N BIOL2016 or BIOL2916 or BIOL2929 |
Semester 1 |
| BIOL2929 Cell Biology (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 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 [MATH1X05 and MATH1XXX (excluding MATH1X05)] or BUSS1020 or ECMT1010 N STAT2012 or STAT2912 or DATA2902 |
Semester 2 |
| DATA2902 Data Analytics: Learning from Data (Adv) |
6 | A 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 [MATH1X05 and MATH1XXX (excluding MATH1X05)] or BUSS1020 or ECMT1010) 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 |
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Methodology |
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| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or STAT2X12 or BIOL2X22 or DATA2X02 or QBIO2001 |
Semester 1 |
Selective Interdisciplinary Project |
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| QBIO3888 Quantitative Biology Interdisciplinary Unit This unit of study is not available in 2022 |
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 |
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| 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 N GEOS3X14 |
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 |