Data Science Table

Errata
Item Errata Date
1.

The prerequisites have been removed for the following units:

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

DATA SCIENCE

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

Data Science major

A major in Data Science requires 48 credit points from this table including:
(i) 6 credit points of 1000-level core units
(ii) 6 credit points of 1000-level units according to the following rules*:
(a) 6 credit points of selective units OR
(b) 3 credit points of statistics units and 3 credit points of computation units OR
(c) 3 credit points of advanced statistics units and 3 credit points of mathematics units OR
(d) 3 credit points of advanced statistics units and 3 credit points of linear algebra units for students in the Mathematical Sciences program^
(iii) 12 credit points of 2000-level core units
(iv) 6 credit points of 2000-level selective units
(v) 6 credit points of 3000-level core interdisciplinary project units
(vi) 6 credit points of 3000-level methodology units
(vii) 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
^If elective space allows, students may substitute DATA1001/1901 for the advanced statistics unit

Data Science minor

A minor in Data Science requires 36 credit points from this table including:
(i) 6 credit points of 1000-level core units
(ii) 6 credit points of 1000-level units according to the following rules*:
(a) 6 credit points of selective units OR
(b) 3 credit points of statistics units and 3 credit points of computations units OR
(c) 3 credit points of advanced statistics units and 3 credit points of calculus and linear algebra units
(iii) 12 credit points of 2000-level core units
(iv) 6 credit points of 2000-level selective units
(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
DATA1002
Informatics: Data and Computation
6    N INFO1903 OR DATA1902
Semester 2
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

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 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
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
Statistics
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
Computation
MATH1115
Interrogating Data
3    P MATH1005 or MATH1015
N STAT1021 or STAT1022 or ENVX1001 or ENVX1002 or BUSS1020 or ECMT1010 or DATA1001 or DATA1901
Semester 1
Semester 2
Summer Main
Advanced Statistics
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
Mathematics
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
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
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

2000-level units of study

Core
DATA2001
Data Science: Big Data and Data Diversity
6    P DATA1002 OR DATA1902 OR INFO1110 OR INFO1910 OR INFO1903 OR INFO1103
N DATA2901
Semester 1
DATA2901
Big Data and Data Diversity (Advanced)
6    P DATA1002 OR DATA1902 OR INFO1110 OR INFO1903 OR INFO1103. Students need Distinction or better in one of the prerequisite units.
N DATA2001
Semester 1
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
Selective
COMP2123
Data Structures and Algorithms
6    P INFO1110 OR INFO1910 OR INFO1113 OR DATA1002 OR DATA1902 OR INFO1103 OR INFO1903
N INFO1105 OR INFO1905 OR COMP2823
Semester 1
COMP2823
Data Structures and Algorithms (Adv)
6    P INFO1110 OR INFO1910 OR INFO1113 OR DATA1002 OR DATA1902 OR INFO1103 OR INFO1903
N INFO1105 OR INFO1905 OR COMP2123

Note: Department permission required for enrolment

Semester 1
COSC2002
Computational Modelling
6    A HSC Mathematics; DATA1002, or equivalent programming experience, ideally in Python.
N COSC1003 or COSC1903 or COSC2902
Semester 1
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

Note: Department permission required for enrolment

Semester 1
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
QBUS2830
Actuarial Data Analytics
6    A BUSS1020 or ECMT1010 or ENVX1001 or ENVX1002 or ((MATH1005 or MATH1015) and MATH1115) or 6 credit points in MATH 1000-level units including MATH1905.
P QBUS2810 or DATA2002 or ECMT2110
Semester 1

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
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
Methodology
DATA3404
Data Science Platforms
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
Semester 1
DATA3406
Human-in-the-Loop Data Analytics
6      Semester 2
COMP3308
Introduction to Artificial Intelligence
6    A Algorithms. Programming skills (e.g. Java, Python, C, C++, Matlab)
N COMP3608
Semester 1
COMP3608
Introduction to Artificial Intelligence (Adv)
6    A Algorithms. Programming skills (e.g. Java, Python, C, C++, Matlab)
P 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).
Semester 1
COMP3027
Algorithm Design
6    A MATH1004 OR MATH1904 OR MATH1064
P COMP2123 OR COMP2823 OR INFO1105 OR INFO1905
N COMP2007 OR COMP2907 OR COMP3927
Semester 1
COMP3927
Algorithm Design (Adv)
6    A MATH1004 OR MATH1904 OR MATH1064
P COMP2123 OR COMP2823 OR INFO1105 OR INFO1905
N COMP2007 OR COMP2907 OR COMP3027

Note: Department permission required for enrolment

Semester 1
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
Application
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 BIOM2001 or STAT2X12 or BIOL2X22 or DATA2002 or QBIO2001


Interdisciplinary Unit
Semester 1
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
QBUS3810
Actuarial Risk Analytics

This unit of study is not available in 2019

6    P QBUS2810 or DATA2002 or ECMT2110
N ECMT3180
Semester 1
Selective Interdisciplinary Project
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