University Handbooks

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Unit of study table

Bachelor of Engineering Honours

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  • Breadth specialisations false false
  • Innovation and Entrepreneurship true true

Engineering Data Science

Students must complete 24 credit points to achieve this Breadth specialisation.
Unit of studyCredit pointsA: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
Students complete 18 credit points from the following:

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 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 greater in (DATA1X01 or ENVX1002 or BUSS1020 or ECMT1010 or MATH1062 or MATH1962 or MATH1972 or [MATH1X05 and (MATH1001 or MATH1002 or MATH1003 or MATH1004 or MATH1021 or MATH1023 or MATH1115 or MATH19XX)])
N STAT2012 or STAT2912 or DATA2002

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

Students complete 6 credit points from the following:

COMP3308
Introduction to Artificial Intelligence

6

A Data structures and algorithms as covered in COMP2123 or COMP2823.
N COMP3608
P INFO1110 or INFO1910 or ENGG1801 or ENGG1810 or DATA1002 or DATA1902

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 or DATA1902) 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).

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)

Humanitarian Engineering

Students must complete 24 credit points to achieve this Breadth specialisation.
Unit of studyCredit pointsA: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
Students complete 12 credit points from the following:
CIVL3310
Humanitarian Engineering

6

 
CIVL5320
Engineering for Sustainable Development

6

N CIVL9320

Students complete 12 credit points from the following:
CIVL5330
Global Engineering Field Work		6 
ENGG3801
Industry and Community Project		6A Upper-level disciplinary knowledge. Required knowledge will vary by project.
PMGT3857
International Project Management

6

P 30 credit points of 1000 level units of study

Innovation and Entrepreneurship

Students must complete 24 credit points to achieve this Breadth specialisation.
Unit of studyCredit pointsA: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
Students complete 18 credit points from the following:
SIEN1000
Innovation and Entrepreneurship Foundation

6

 
SIEN1001
Innovators' Skills and Actions

6

C SIEN1000
SIEN2001
Validating Ideas and Building Ventures

6


P SIEN1000 and SIEN1001
N IBUS2104

Students complete 6 credit points from the following:
ENGG3216
Management of Technological Innovation

6

A Knowledge of engineering and project management

N ENGG4061

SIEN3001
Social Entrepreneurship

6

P Completion of 48 credit points
N IBUS3108

PMGT3856
Sustainability and Knowledge Management

6

N CIVL4818
INFS2030
Digital Business Management

6

A INFS1000 or INFO1000 or INFO1003 or INFO1903
SIEN2210
Strategic Management

6

P Completion of at least 40 credit points
N WORK2210
MKTG3114
New Products Marketing

6

P MKTG1001 or SIEN1000
MKTG3120
Building and Managing Brands

6

P MKTG1001 or SIEN1000
CLAW2209
Intellectual Property for Business

6

P Completion of at least 24 credit points of study

SIEN3204
Managing Organisational Sustainability

6

A WORK1004 or WORK2201
P Completion of at least 48 credit points
N WORK2219 or WORK3204

DECO2016
Design Thinking

6

N DECO1006

DECO2015
Responsible Design for Innovation

6

P DECO2016 or DECO1006

Computer Systems

Students must complete 24 credit points to achieve this Breadth specialisation.
Unit of studyCredit pointsA: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition
Students complete 18 credit points from the following:
ELEC1601
Introduction to Computer Systems		6A HSC Mathematics extension 1 or 2
ELEC2602
Digital Logic

6

A ELEC1601. This unit of study assumes some knowledge of digital data representation and basic computer organisation
ELEC3607
Embedded Systems

6

A ELEC1601 and ELEC2602. Logic operations, theorems and Boolean algebra, data representation, number operations (binary, hex, integers and floating point), combinational logic analysis and synthesis, sequential logic, registers, counters, bus systems, state machines, simple CAD tools for logic design, basic computer organisation, the CPU, peripheral devices, software organisation, machine language, assembly language, operating systems, data communications and computer networks
P ELEC1601 and ELEC2602
Students complete 6 credit points from the following:

ELEC3608
Computer Architecture

6

A ELEC3607. Knowledge of microprocessor systems (embedded systems architecture, design methodology, interfacing and programming) is required
P ELEC2602
Knowledge of digital logic (logic operations, theorems and Boolean algebra, number systems, combinational logic analysis and synthesis, sequential logic, registers, counters, bus systems, state machines, design of a simple computer, and using hardware description languages such as VHDL or Verilog) is required.

ELEC3305
Digital Signal Processing

 

6A Familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals