Bachelor of Advanced Computing

Computational Data Science major

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

Computational Data Science

Computational Data Science major

Achievement of a major in Computational Data Science requires 48 credit points from this table including:
(i) 12 credit points of 1000-level core units
(ii) 18 credit points of 2000-level core units
(iii) 6 credit points of 3000-level core units
(iv) 12 credit points of 3000-level selective units

Computational Data Science minor

Achievement of a minor in Computational Data Science requires 36 credit points from this table including:
(i) 12 credit points of 1000-level core units.
(ii) 18 credit points of 2000-level core units.
(iii) 6 credit points of 3000-level selective units.

Units of Study

1000-level units of study
Core units
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 MATH1905 or ECMT1010 or ENVX1002 or BUSS1020 or DATA1001 or MATH1115 or MATH1015
Semester 1
Semester 2
INFO1110
Introduction to Programming
6    N INFO1910 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905
Semester 1
Semester 2
INFO1910
Introduction to Programming (Advanced)
6    A ATAR sufficient to enter Dalyell program, or passing an online programming knowledge test, which will be administered during the O-week prior to the commencement of the semester.
N INFO1110 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905

Note: Department permission required for enrolment

Semester 1
Semester 2
2000-level units of study
Core units
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
Semester 1
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 for example MATH1014 or MATH1002 or MATH1902 and DATA1001 or DATA1901
P [DATA1001 or ENVX1001 or ENVX1002] or [MATH10X5 and MATH1115] or [MATH10X5 and STAT2X11] 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 STAT2911 or (MATH1905 and MATH1XXX [except MATH1XX5]) or (BUSS1020 or ECMT1010 or STAT1021)
N STAT2012 or STAT2912 or DATA2002
Semester 2
3000-level units of study
Core units
DATA3888
Data Science Capstone
6    P DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012
Semester 1
Semester 2
Selective units
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
Semester 1
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
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    A Basic statistics, database management, and programming.
Semester 2


For a standard enrolment plan for the Bachelor of Advanced Computing with a major in Computational Data Science visit CUSP https://cusp.sydney.edu.au.