Bachelor of Advanced Computing

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

Bachelor of Advanced Computing and Bachelor of Computing

Award requirements

Bachelor of Advanced Computing

To qualify for the award of the Bachelor of Advanced Computing, a candidate must complete 192 credit points, comprising:
(a) 96 credit points of degree core units of study as set out in the table below;
(b) A major (48 credit points) from the list of majors from the table below;
(c) At least 12 credit points of 4000-level or higher electives from the table below;
(d) (Optionally) up to 12 credit points of units of study in the Open Learning Environment as listed in Table O in the Shared Pool for Undergraduate Degrees;
(e) (Optionally) a minor of 36 credit points or a second major of 48 credit points as listed and specified in Table S in the Shared Pool for Undergraduate Degrees;
(f) Where appropriate, additional elective units from the table below or Table S in the Shared Pool for Undergraduate Degrees.

Bachelor of Computing

To qualify for the award of the Bachelor of Computing, a candidate must complete 144 credit points, comprising:
(a) 78 credit points of degree core units as set out in the table below;
(b) A major (48 credit points) from the list of majors from the table below;
(c) (Optionally) up to 12 credit points of units of study in the Open Learning Environment as listed in Table O in the Shared Pool for Undergraduate Degrees;
(d) (Optionally) a minor of 36 credit points as listed and specified in Table S in the Shared Pool for Undergraduate Degrees;
(e) Where appropriate, additional elective units from the table below.

Streams

The available streams in the Bachelor of Advanced Computing are:
Dalyell
Achievement of the Dalyell stream requires:
(i) Completion of 12 credit points of Dalyell units as set out in Table S;
(ii) Admission on the basis of ATAR or first year WAM as determined by the Board of Interdisciplinary Studies;
(iii) Maintenance of the required WAM as determined by the Board of Interdisciplinary Studies.

Majors

Table A majors available in this course are:
Computer Science
Computational Data Science
Information Systems
Software Development
Requirements from the majors are listed in the Majors tabs in this Handbook.

Minors

Table A minors available in this course are:
Computer Science
Computational Data Science
Information Systems
Software Development
Requirements from the minors are listed alongside the major requirements in the Majors tabs in this Handbook.

Honours

To be eligible for the award of Honours in the Bachelor of Advanced Computing, a candidate must complete 18 credit points of thesis units (INFO4001, INFO4002 and INFO4003) based on a research project, and 6 credit points of research methods (INFO4990), as listed below, and meet the performance levels as specified in clause 10 of the degree resolutions.

Degree Core

The degree core units of study required for this course are listed below. Candidates who exit at the third year do not complete the 4000-level degree core units and graduate with a Bachelor of Computing.
1000-level units of study
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
ELEC1601
Introduction to Computer Systems
6    A HSC Mathematics extension 1 or 2
Semester 2
INFO1110
Introduction to Programming
6    N INFO1910 OR INFO1103 OR INFO1903 OR INFO1105 OR INFO1905
Semester 1
Semester 2
INFO1111
Computing 1A Professionalism
6    N ENGG1805 OR ENGG1111 OR ENGD1000
Semester 1
INFO1112
Computing 1B OS and Network Platforms
6    C ELEC1601 AND (INFO1110 OR INFO1910 OR INFO1103 OR INFO1113)
Semester 2
INFO1113
Object-Oriented Programming
6    P INFO1110 OR INFO1910
N INFO1103 OR INFO1105 OR INFO1905

Note: Department permission required for enrolment in the following sessions:Intensive January

Intensive January
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
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
MATH1021
Calculus Of One Variable
3    A HSC Mathematics Extension 1 or equivalent.
N MATH1011 or MATH1901 or MATH1906 or ENVX1001 or MATH1001 or MATH1921 or MATH1931
Intensive January
Semester 1
Semester 2
MATH1064
Discrete Mathematics for Computation
6    A Coordinate geometry, basic integral and differential calculus, polynomial equations and algebraic manipulations, equivalent to HSC Mathematics
N MATH1004 or MATH1904
Semester 2
2000-level units of study
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
INFO2222
Computing 2 Usability and Security
6    P (INFO1103 OR INFO1105 OR INFO1905 OR INFO1113) AND (INFO1111 OR INFO1711 OR ENGG1111 OR ENGD1000 OF ENGG1805)
Semester 1
ISYS2120
Data and Information Management
6    A Programming skills
P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905 OR INFO1003 OR INFO1903 OR DECO1012
N INFO2120 OR INFO2820 OR COMP5138
Semester 2
SOFT2412
Agile Software Development Practices
6    P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905
N COMP9412
Semester 2
3000-level units of study
INFO3333
Computing 3 Management
6    P 12 credit points of 2000-level units
N INFO3402
Semester 1
4000-level units of study
INFO4001
Thesis A
6      Semester 1
Semester 2
INFO4002
Thesis B
6      Semester 1
Semester 2
INFO4444
Computing 4 Innovation
6    A Students should have knowledge of several different aspects of computing at the 3000-level
P INFO3333
N INFO4990
Semester 1
INFO4990
IT Research Methods
6    P Students must satisfy Honours admission requirements.
N INFO4444 or INFO5993
Semester 1
Semester 2

Electives

2000-level units of study
COMP2017
Systems Programming
6    P INFO1113 OR INFO1105 OR INFO1905 OR INFO1103
C COMP2123 OR COMP2823 OR INFO1105 OR INFO1905
N COMP2129 OR COMP9017 OR COMP9129
Semester 1
COMP2022
Models of Computation
6    A (MATH1004 OR MATH1904 OR MATH1064 OR MATH2069 OR MATH2969) AND (INFO1105 OR INFO1905 OR COMP2123 OR COMP2823)
P INFO1103 OR INFO1903 OR INFO1113
N COMP2922
Semester 2
COMP2922
Models of Computation (Adv)
6    A (MATH1004 OR MATH1904 OR MATH1064 OR MATH2069 OR MATH2969) AND (INFO1105 OR INFO1905 OR COMP2123 OR COMP2823)
P Distinction level result in INFO1103 OR INFO1903 OR INFO1113
N COMP2022
Semester 2
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
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
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
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
INFO2150
Introduction to Health Data Science
6    A Basic knowledge of Entity Relationship Modelling, database technology and SQL
P (INFO1003 OR INFO1903 OR INFO1103 OR INFO1110 OR INFO1910 OR DATA1002 OR DATA1902) AND (DATA1001 OR MATH1005 OR MATH1905 OR MATH1015 OR BUSS1020)
C DATA2001 OR DATA2901 OR ISYS2120 OR INFO2120 OR INFO2820 OR INFO1903
Semester 2
ISYS2110
Analysis and Design of Web Info Systems
6    P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905
N INFO2110
Semester 1
ISYS2160
Information Systems in the Internet Age
6    A INFO1003 OR INFO1103 OR INFO1903 OR INFO1113
N ISYS2140
Semester 2
SOFT2201
Software Construction and Design 1
6    P INFO1113 OR INFO1103 OR INFO1105 OR INFO1905
N INFO3220 OR COMP9201
Semester 2
3000-level units of study
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
COMP3109
Programming Languages and Paradigms
6    P COMP2022 OR COMP2007 OR COMP2907
Semester 2
COMP3221
Distributed Systems
6    P (INFO1105 OR INFO1905) OR ((INFO1103 OR INFO1113) AND (COMP2123 OR COMP2823))
N COMP2121
Semester 1
COMP3308
Introduction to Artificial Intelligence
6    A Algorithms. Programming skills (e.g. Java, Python, C, C++, Matlab)
N COMP3608
Semester 1
COMP3419
Graphics and Multimedia
6    A Programming skills
P COMP2123 OR COMP2823 OR INFO1105 OR INFO1905
Semester 2
COMP3520
Operating Systems Internals
6    P (COMP2017 OR COMP2129) AND (COMP2123 OR COMP2823 OR INFO1105 OR INFO1905)
Semester 2
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
COMP3888
Computer Science Project
6    P (COMP2123 OR COMP2823) AND COMP2017 AND (COMP2022 OR COMP2922)
N INFO3600 OR COMP3600 OR COMP3615 OR COMP3988
Semester 2
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
COMP3988
Computer Science Project (Advanced)
6    P [(COMP2123 OR COMP2823) AND COMP2017 AND (COMP2022 OR COMP2922) with Distinction level results in at least one of these units.]
N INFO3600 OR COMP3615 OR COMP3600 OR COMP3888
Semester 2
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
DATA3888
Data Science Capstone
6    P DATA2001 or DATA2901 or DATA2002 or DATA2902 or STAT2912 or STAT2012
Semester 1
Semester 2
ENGG3800
Industry and Community Projects
6    A Upper-level disciplinary knowledge. Required knowledge will vary by project.

Note: Department permission required for enrolment

Intensive December
Intensive February
Intensive January
Intensive July
Semester 1
Semester 2
INFO3315
Human-Computer Interaction
6      Semester 2
INFO3616
Principles of Security and Security Eng
6    A (INFO1110 OR INFO1910) AND INFO1112 AND INFO1113 AND MATH1064. Knowledge equivalent to the above units is assumed. This means good programming skills in Python or a C-related language, basic networking knowledge, and skills from discrete mathematics. A technical orientation is absolutely required, especially capacity to become familiar with new technology without explicit supervision.
N ELEC5616 OR INFO2315
Semester 2
ISYS3401
Information Technology Evaluation
6    A MATH1005 OR MATH1905
P (INFO2110 OR ISYS2110) AND (INFO2120 OR ISYS2120) AND (ISYS2140 OR ISYS2160)
Semester 1
ISYS3402
Decision Analytics and Support Systems
6    A Database Management AND Systems Analysis and Modelling
P (ISYS2110 OR INFO2110) AND (ISYS2120 OR INFO2120)
Semester 2
ISYS3888
Information Systems Project
6    P (INFO2110 OR ISYS2110) AND (INFO2120 OR ISYS2120) AND (ISYS2140 OR ISYS2160)
N INFO3600 OR ISYS3207 OR ISYS3400
Semester 2
SOFT3202
Software Construction and Design 2
6    P SOFT2201
N INFO3220
Semester 1
SOFT3410
Concurrency for Software Development
6    P (INFO1105 OR INFO1905) OR ((INFO1103 OR INFO1113) AND (COMP2123 OR COMP2823))
Semester 2
SOFT3888
Software Development Project
6    A SOFT3202
P [18CP 2000-level or above units from SOFT or COMP or INFO]
N SOFT3413
Semester 2
4000-level units of study
INFO4003
Thesis B (extension)
6    C INFO4001 OR INFO4002

Note: Department permission required for enrolment

Semester 1
Semester 2
5000-level units of study
COMP5045
Computational Geometry
6    A Students are assumed to have a basic knowledge of the design and analysis of algorithms and data structures: you should be familiar with big-O notations and simple algorithmic techniques like sorting, binary search, and balanced search trees.
Semester 1
COMP5046
Natural Language Processing
6    A Knowledge of an OO programming language
Semester 1
COMP5047
Pervasive Computing
6    A ELEC1601 AND (COMP2129 OR COMP2017). Background in programming and operating systems that is sufficient for the student to independently learn new programming tools from standard online technical materials.

Note: Department permission required for enrolment

Semester 2
COMP5048
Visual Analytics
6    A It is assumed that students will have basic knowledge of data structures, algorithms and programming skills.

Note: Department permission required for enrolment in the following sessions:Semester 1

Semester 1
Semester 2
COMP5216
Mobile Computing
6    A COMP5214 OR COMP9103. Software Development in JAVA, or similar introductory software development units.
Semester 2
COMP5313
Large Scale Networks
6    A Algorithmic skills (as expected from any IT graduate). Basic probability knowledge.
Semester 1
COMP5318
Machine Learning and Data Mining
6    A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138
Semester 1
Semester 2
COMP5328
Advanced Machine Learning
6    C COMP5318 OR COMP3308 OR COMP3608
Semester 2
COMP5329
Deep Learning
6    A COMP5318
Semester 1
COMP5338
Advanced Data Models
6    A This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1).
Semester 2
COMP5347
Web Application Development
6    A COMP9220 or COMP5028. The course assumes basic knowledge on OO design and proficiency in a programming language
P INFO1103 or INFO1113 or COMP9103 or COMP9220 or COMP5028

Note: Department permission required for enrolment

Semester 1
COMP5348
Enterprise Scale Software Architecture
6    A Programming competence in Java or similar OO language. Capacity to master novel technologies (especially to program against novel APIs) using manuals, tutorial examples, etc.
Semester 1
COMP5349
Cloud Computing
6    A Good programming skills, especially in Java for the practical assignment, as well as proficiency in databases and SQL. The unit is expected to be taken after introductory courses in related units such as COMP5214 or COMP9103 Software Development in JAVA
Semester 1
COMP5415
Multimedia Design and Authoring
6      Semester 2
COMP5416
Advanced Network Technologies
6    A ELEC3506 OR ELEC9506 OR ELEC5740 OR COMP5116
Semester 2
COMP5424
Information Technology in Biomedicine
6      Semester 1
COMP5425
Multimedia Retrieval
6    A COMP9007 or COMP5211. Basic Programming skills and data structure knowledge.
Semester 1
COMP5426
Parallel and Distributed Computing
6      Semester 1
COMP5427
Usability Engineering
6      Semester 2
COMP5617
Empirical Security Analysis and Engineering
6    P INFO3616 or ELEC5616
Semester 2
COMP5618
Applied Cybersecurity
6    A (ELEC5616 OR INFO2315 OR INFO2222) with a grade of Credit or greater

Note: Department permission required for enrolment

Semester 2
DATA5207
Data Analysis in the Social Sciences
6    A COMP5310

Note: Department permission required for enrolment in the following sessions:Intensive December

Intensive December
Semester 1
ELEC5306
Video Intelligence and Compression
6    A Basic understanding of digital signal processing (filtering, DFT) and programming skills (e.g. Matlab/Java/Python/C++)
Semester 1
ELEC5307
Advanced Signal Processing with Deep Learning
6    A Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)
Semester 2
ELEC5508
Wireless Engineering
6    A Basic knowledge in probability and statistics, analog and digital communications, error probability calculation in communications channels, and telecommunications network.
Semester 2
ELEC5509
Mobile Networks
6    A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor.
Semester 1
ELEC5514
Networked Embedded Systems
6    A ELEC3305 AND ELEC3506 AND ELEC3607 AND ELEC5508
Semester 2
ELEC5616
Computer and Network Security
6    A A programming language, basic maths.
Semester 1
ELEC5618
Software Quality Engineering
6    A Writing programs with multiple functions or methods in multiple files; design of complex data structures and combination in non trivial algorithms; use of an integrated development environment; software version control systems.
Semester 1
ELEC5619
Object Oriented Application Frameworks
6    A Java programming, and some web development experience are essential. Databases strongly recommended
Semester 2
ELEC5620
Model Based Software Engineering
6    A A programming language, basic maths.
Semester 2
INFO5010
IT Advanced Topic A
6   
Note: Department permission required for enrolment

Semester 1
Semester 2
INFO5011
IT Advanced Topic B
6   
Note: Department permission required for enrolment

Semester 1
Semester 2
INFO5991
Services Science Management and Engineering
6    A INFO5990. Students are expected to have a degree in computer science, engineering, information technology, information systems or business.
Semester 1
Semester 2
INFO5992
Understanding IT Innovations
6    P 24 credit points of units at 5000-level or above
N PMGT5875
Semester 1
Semester 2
INFO6010
Advanced Topics in IT Project Management
6    A Students are assumed to understand the role of IT projects.
P INFO6007 OR 3-5 years working experience in IT Project Management
Semester 2
ISYS5050
Knowledge Management Systems
6    P COMP5206 OR ISYS2160
Semester 1
ISYS5070
Change Management in IT
6    A The unit is expected to be taken after the following related units INFO6007 Project Management in IT and COMP5206 Information Technologies and Systems.

Note: Department permission required for enrolment

Intensive January
Intensive July


For a standard enrolment plan for Bachelor of Advanced Computing visit CUSP https://cusp.sydney.edu.au.