Quantitative Life Sciences Table
Errata
| Item | Errata | Date |
|---|---|---|
| 1. |
Prerequisites have been removed for the following units: MATH1011 Applications of Calculus |
12/12/2018 |
| 2. |
The following unit has been cancelled for 2019: QBIO3001 Molecular Systems Biology |
21/2/2019 |
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
QUANTITATIVE LIFE SCIENCES |
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| Advanced coursework and projects will be available in 2020 for students who complete this major. | |||
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) 12 credit points of 2000-level selective units | |||
| (iv) 6 credit points of 3000-level methodology units | |||
| (v) 6 credit points of 3000-level core interdisciplinary project units | |||
| (vi) 12 credit points of 3000-level selective specialisation or interdisciplinary project selective 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) 12 credit points of 2000-level selective units | |||
| (iv) 6 credit points of 3000-level methodology units | |||
| (v) 6 credit points of 3000-level selective specialisation 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 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 |
| 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 |
| 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 |
| 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 |
| 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. P NSW HSC 2 unit Mathematics or equivalent or a credit or above in MATH1111 N MATH1003 or MATH1903 or MATH1907 or MATH1023 or MATH1923 or MATH1933 |
Semester 2 Summer Main |
| 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 |
| 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 streams |
Semester 1 |
2000-level units of study |
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Selective |
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| 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 |
| 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 or ENVX2001 |
Semester 2 |
| BIOL2922 Biol Experimental Design and Analysis Adv This unit of study is not available in 2019 |
6 | A BIOL1XXX or MBLG1XXX P [An annual average mark of at least 70 in the previous year] and [6cp from (BIOL1XXX or MBLG1XXX or ENVX1001 or ENVX1002 or DATA1001 or MATH1XX5)] N BIOL2022 or BIOL3006 or BIOL3906 |
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)] Available as a degree core unit only in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness streams |
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 units |
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| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001 Interdisciplinary Unit |
Semester 1 |
| QBIO3001 Molecular Systems Biology |
6 | P Completion of 72cp of units of study, including QBIO2001 and 6cp from (GEGE2X01 or GENE2002 or AVBS2005 or BCMB2X01 or BCHM2X72 or MEDS2003) |
Semester 1 |
| QBIO3901 to be developed for offering in 2020 | |||
Core Interdisciplinary Project |
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| The unit of study QBIO3888 is not available in 2019 | |||
| 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 |
Specialisation units |
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| ENVX3002 Statistics in the Natural Sciences |
6 | P ENVX2001 or BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001 Interdisciplinary Unit |
Semester 1 |
| BCHM3092 Proteomics and Functional Genomics |
6 | P [12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or GEGE2X01 or MBLG2X71 or QBIO2001)] OR [BMED2401 and BMED2405 and 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] N BCHM3992 BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 2 |
| BCHM3992 Proteomics and Functional Genomics (Adv) |
6 | P [An average mark of 75 or above in 12cp from (BCHM2X71 or BCHM2X72 or BCMB2X01 or BCMB2X02 or DATA2002 or ENVX2001 or BIOL2X22 or GEGE2X01 or MBLG2X71 or QBIO2001)] OR [BMED2401 and a mark of 75 or above in BMED2405 and a mark of 75 or above in 6cp from (BCHM2X71 or BCMB2X02 or MBLG2X71)] N BCHM3092 BMedSc degree students: You must have successfully completed BMED2401 and an additional 12cp from BMED240X before enrolling in this unit. |
Semester 2 |
| ENVX3001 Environmental GIS |
6 | P 6cp from (ENVI1003 or AGEN1002) or 6cp from GEOS1XXX or 6cp from BIOL1XXX or GEOS2X11 |
Semester 2 |
| 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 |
| 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 |
| STAT3014 Applied Statistics This unit of study is not available in 2019 |
6 | A STAT3012 or STAT3912 P DATA2002 or STAT2X12 N STAT3914 or STAT3002 or STAT3902 or STAT3006 |
Semester 2 |
| STAT3914 Applied Statistics Advanced |
6 | A STAT3012 or STAT3912 or STAT3022 or STAT3922 P STAT2912 or (a mark of 65 or above in STAT2012 or DATA2002) N STAT3014 or STAT3907 or STAT3902 or STAT3006 or STAT3002 |
Semester 2 |
| GEGE3004 Computational 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 |
Interdisciplinary Project Selective |
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| 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 |