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Data Science

Unit of study table (Table A)

This page was first published on 15 November 2023 and was last amended on 19 February 2024.
View details of the changes below.

Data Science major

A major in Data Science requires 48 credit points from this table including:
(i) 12 credit points of 1000-level core units*
(ii) 12 credit points of 2000-level core units
(iii) 6 credit points of 2000-level selective units
(iv) 6 credit points of 3000-level core interdisciplinary project units
(v) 6 credit points of 3000-level methodology units
(vi) 6 credit points of 3000-level methodology or application or interdisciplinary project selective units
*Students not enrolled in the BSc may substitute ECMT1010 or BUSS1020. ENVX1002 should only be taken by students enrolled in the Agriculture, Animal and Veterinary Bioscience, and Food and Agribusiness, and Taronga Wildlife Conservation streams.

Data Science minor

A minor in Data Science requires 36 credit points from this table including:
(i) 12 credit points of 1000-level core units
(ii) 12 credit points of 2000-level core units
(iii) 6 credit points of 2000-level selective units
(iv) 6 credit points of 3000-level methodology units
Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition

1000-level units of study

Core
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
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
DATA1002
Informatics: Data and Computation
6 N INFO1903 OR DATA1902
DATA1902
Informatics: Data and Computation (Advanced)
6 A This unit is intended for students with ATAR at least sufficient for entry to the BSc/BAdvStudies(Advanced) stream, or for those who gained Distinction results or better, in some unit in Data Science, Mathematics, or Computer Science. Students with portfolio of high-quality relevant prior work can also be admitted
N INFO1903 OR DATA1002
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

2000-level units of study

Core
DATA2001
Data Science, Big Data and Data Variety
6 P DATA1002 OR DATA1902 OR INFO1110 OR INFO1910 OR INFO1903 OR INFO1103 or ENGG1810
N DATA2901
DATA2901
Big Data and Data Diversity (Advanced)
6 P 75% or above from (DATA1002 or DATA1902 or INFO1110 or INFO1910 or INFO1903 or INFO1103 or ENGG1810)
N DATA2001
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 BUSS1020 or ECMT1010 or [(MATH1062 or MATH1962 or MATH1972) and (STAT2011 or STAT2911)] or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)]
N STAT2012 or STAT2912 or DATA2902
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 BUSS1020 or ECMT1010 or [(MATH1062 or MATH1962 or MATH1972) and (STAT2011 or STAT2911)] or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)])
N STAT2012 or STAT2912 or DATA2002
Selective
COMP2123
Data Structures and Algorithms
6 P INFO1110 OR INFO1910 OR INFO1113 OR DATA1002 OR DATA1902 OR ENGG1810 OR INFO1103 OR INFO1903
N INFO1105 OR INFO1905 OR COMP2823
COMP2823
Data Structures and Algorithms (Adv)
6 P Distinction level results in (INFO1110 OR INFO1910 OR INFO1113 OR DATA1002 OR DATA1902 OR ENGG1810 OR INFO1103 OR INFO1903)
N INFO1105 OR INFO1905 OR COMP2123
COSC2002
Computational Modelling
6 A HSC Mathematics; DATA1002, or equivalent programming experience, ideally in Python
N COSC1003 or COSC1903 or COSC2902
COSC2902
Computational Modelling (Advanced)
6 A HSC Mathematics; DATA1002, or equivalent programming experience, ideally in Python
P 48 credit points of 1000 level units with an average of 65
N COSC1003 or COSC1903 or COSC2002
GEGE2001
Genetics and Genomics
6 A Mendelian genetics; mechanisms of evolution; molecular and chromosomal bases of inheritance; and gene regulation and expression
N GENE2002 or MBLG2972 or GEGE2901 or MBLG2072
GEGE2901
Genetics and Genomics (Advanced)
6 A Mendelian genetics, mechanisms of evolution, molecular and chromosomal bases of inheritance, and gene regulation and expression
P Annual average mark of at least 70
N GENE2002 or MBLG2072 or GEGE2001 or MBLG2972
QBIO2001
Molecular Systems Biology
6 A Basic concepts in metabolism; protein synthesis; gene regulation; quantitative and statistical skills
STAT2011
Probability and Estimation Theory
6 P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH1X62 or MATH1972 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
N STAT2911
STAT2911
Probability and Statistical Models (Adv)
6 P (MATH1X61 or MATH1971 or 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 or MATH1X62 or MATH1972)
N STAT2011

3000-level units of study

Core interdisciplinary project
DATA3888
Data Science Capstone
6 P DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012
Methodology
COMP3027
Algorithm Design
6 A MATH1004 OR MATH1904 OR MATH1064 OR MATH1964
P COMP2123 OR COMP2823 OR INFO1105 OR INFO1905
N COMP2007 OR COMP2907 OR COMP3927
COMP3927
Algorithm Design (Adv)
6 A MATH1004 OR MATH1904 OR MATH1064 OR MATH1964
P Distinction level results in (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905)
N COMP2007 OR COMP2907 OR COMP3027
COMP3308
Introduction to Artificial Intelligence
6 A Data structures and algorithms as covered in COMP2123 or COMP2823.
P INFO1110 OR INFO1910 OR ENGG1801 OR ENGG1810 OR DATA1002
N COMP3608
COMP3608
Introduction to Artificial Intelligence (Adv)
6 A Data structures and algorithms as covered in COMP2123 or COMP2823.
P (INFO1110 OR INFO1910 OR ENGG1810 OR DATA1002) AND distinction-level results in at least one 2000-level COMP or MATH or SOFT unit
N COMP3308
COMP3308 and COMP3608 share the same lectures, but have different tutorials and assessment (the same type but more challenging).
DATA3370
Data and Algorithms in Trading
6 A Simple integration, partial differentiation, linear algebra, basic statistics (e.g. expected values, variance, distributions), linear regression, basic programming skills and experience working with data. P (DATA1001 or DATA1901 or MATH1005 or MATH1905 or MATH1062 or MATH1962 or MATH1972 or BUSS1020 or ECMT1020) and (MATH1061 or MATH1961 or MATH1971 or MATH1050 or QBUS1040 or ECON1003 or [MATH1002/MATH1014/MATH1902 and MATH1011/MATH1013/MATH1021/MATH1921/MATH1931])

This unit of study is being developed, subject to change

DATA3404
Scalable Data Management
6 A This unit of study assumes that students have previous knowledge of database structures and of SQL. The prerequisite material is covered in DATA2001 or ISYS2120. Familiarity with a programming language (e.g. Java or C) is also expected
P DATA2001 OR DATA2901 OR ISYS2120 OR INFO2120 OR INFO2820
N INFO3504 OR INFO3404
DATA3406
Human-in-the-Loop Data Analytics
6 A Basic statistics, database management, and programming
P (DATA2001 OR DATA2901) AND (DATA2002 OR DATA2902)
STAT3021
Stochastic Processes
6 A Students are expected to have a thorough knowledge of basic probability and integral calculus
P STAT2X11
N STAT3911 or STAT3011 or STAT3921 or STAT4021
STAT3921
Stochastic Processes (Advanced)
6 A Students are expected to have a thorough knowledge of basic probability and integral calculus and to have achieved at credit level or above
P STAT2X11
N STAT3011 or STAT3911 or STAT3021 or STAT3003 or STAT3903 or STAT3005 or STAT3905 or STAT4021
STAT3022
Applied Linear Models
6 A Introductory knowledge to linear algebra (MATH1X02 or equivalent)
P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3912 or STAT3012 or STAT3922 or STAT4022
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 or STAT4022
STAT3023
Statistical Inference
6 A DATA2X02 or STAT2X12
P STAT2X11
N STAT3913 or STAT3013 or STAT3923
STAT3923
Statistical Inference (Advanced)
6 P STAT2X11 and a mark of 65 or greater in (DATA2X02 or STAT2X12)
N STAT3913 or STAT3013 or STAT3023
STAT3925
Time Series (Advanced)
6 P STAT2X11 and (MATH1062 or MATH1962 or MATH1972 or MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
N STAT4025
STAT3926
Statistical Consulting (Advanced)
6 P At least 12cp from STAT2X11 or STAT2X12 or DATA2X02 or STAT3XXX
N STAT4026
Application
ENVX3001
Environmental GIS
6 P ENVI1003 or AGEN1002 or GEOS1XXX or BIOL1XXX or GEOS2X11
N GEOS3X14
ENVX3002
Statistics in the Natural Sciences
6 P ENVX2001 or STAT2X12 or BIOL2X22 or DATA2X02 or QBIO2001
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
P DATA1X01 or 48 credit points of any 1000 or 2000-level units in (ANAT, AVBS, BCMB, BIOL, BIOS, CHEM, COMP, COSC, DATA, ENVX, EXSS, FOOD, FMHU, GEGE, HPSC, HSBH, IMMU, MATH, MEDS, MICR, MIMI, PCOL, PHSI, PHYS, PSYC, QBIO, or STAT)
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.
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
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
Selective Interdisciplinary Project
SCPU3001
Science Interdisciplinary Project
6 P 96 credit points
N HSBH3026
STAT3888
Statistical Machine Learning
6 A STAT3012 or STAT3912 or STAT3022 or STAT3922
P STAT2X11 and (DATA2X02 or STAT2X12)
N STAT3914 or STAT3014

Post-publication amendments

Date
Original publication
Post-publication amendment
8/02/2024 Prerequisites (P) for DATA2002 published as:
P STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
Prerequisites (P) for DATA2002 amended to:
P STAT2X11 and (MATH1062 or MATH1962 or MATH1972 or MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
8/02/2024 Prerequisites (P) for DATA2902 published as:
P
Prerequisites (P) for DATA2902 amended to:
P
8/02/2024 Prerequisite (P) for STAT2011 published as:
P (MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
Prerequisites (P) for STAT2011 amended to:
P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH1X62 or MATH1972 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
8/02/2024 Prerequisites (P) for STAT2911 published as:
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)
Prerequisites (P) for STAT2911 amended to:
P (MATH1X61 or MATH1971 or 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 or MATH1X62 or MATH1972)
8/02/2024 Prerequisites (P for STAT3925 published as:
P STAT2X11 and (MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
Prerequisites (P) for STAT3925 amended to:
P STAT2X11 and (MATH1062 or MATH1962 or MATH1972 or MATH1X03 or MATH1907 or MATH1X23 or MATH1933)
19/02/2024 Prerequisites (P) for STAT2011 published as:
P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or  MATH1X62 or MATH1972 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)
Prerequisites (P) for STAT2011 amended to:
P (MATH1X61 or MATH1971 or MATH1X21 or MATH1931 or MATH1X01 or MATH1906 or MATH1011) and (DATA1X01 or MATH1X62 or MATH1972 or MATH10X5 or MATH1905 or STAT1021 or ECMT1010 or BUSS1020)