Extended Major Overview

Description

Quantum Computing is a rapidly evolving interdisciplinary field that spans multiple areas, cantered especially around physics and computer science. Instead of brute-force miniaturization of basic electronic components, quantum computation utilizes an entirely new design architecture, based on intrinsic quantum properties, such as superposition, interference and entanglement. It offers the prospect of harnessing nature at a much deeper level than ever before, providing a wealth of new possibilities for communication and information processing. Quantum Computing holds the promise of solving problems that are otherwise intractable on even the most powerful classical supercomputers.

The Bachelor of Advanced Computer Science (Quantum Computing) will prepare you for a range of specialist roles in traditional and quantum computing. The major provides you with strong computing and quantum computing skills through foundational building to advanced units. You will study algorithms, computer systems, high performance computing, physics, maths, cybersecurity, and philosophy, providing you with the breadth of understanding that local and global employers are looking for alongside technical knowledge.

Outcomes

Students are able to:

  1. evaluate the efficiency and complexity of both traditional and quantum algorithms
  2. design, implement, verify, test, and document robust and secure computer programs that can be executed on both traditional and quantum computers
  3. perform effectively in a quantum computing project team
  4. communicate effectively through scientific writing and group discussions
  5. explain the essential design principles of quantum software and algorithms
  6. apply the principles and concepts of traditional and quantum computing to solve problems of practical significance.
Broadening guidelines

All students studying towards a Bachelor's Degree at UWA are required to Broaden their studies by completing a minimum of four units (24 points) of study outside their degree specific major. Broadening is your opportunity to explore other areas of interest, investigate new disciplines and knowledge paradigms and to shape your degree to suit your own aspirations and interests. Many of you will be able to undertake more than this minimum amount of broadening study and we encourage you to do so if this suits your aspirations. Over the next few months you will find here some broadening suggestions related to your degree-specific major. While we know that many students value guidance of this sort, these are only suggestions and students should not lose sight of the opportunity to explore that is afforded by your Broadening Choices. Advice can also be sought from your Allocated Student Advising Office.

Prerequisites

Mathematics Specialist ATAR

Incompatibilities

MJD-CMPSC Computer Science (ID 468) MJD-DATSC Data Science (ID 700) MJD-CYBER Cybersecurity (ID 4874)

Courses

Quantum Computing can only be taken as a degree-specific major in the following degree courses:

Example Study Plan

See study plans for more information.

Units

Key to availability of units:
S1
Semester 1
S2
Semester 2

Level 1

Degree-specific major units

Take all units (36 points):

Availability Unit code Unit name unit requirements
S1, S2 CITS1003 Introduction to Cybersecurity
Incompatibility
CITS3004 Cybersecurity
S1, S2 CITS1401 Computational Thinking with Python
Prerequisites
Successful completion of
Mathematics Methods ATAR or equivalent
or MATH1721 Mathematics Foundations: Methods
or MATX1721 Mathematics Foundations
or
Enrolment in
62510 Master of Information Technology
or 62530 Master of Data Science
or BH011 Bachelor of Engineering (Honours)
Incompatibility
Successful completion of
CITS2401 Computer Analysis and Visualisation
or CITS1501 Introduction to Programming with Python
S1, S2 CITS1402 Relational Database Management Systems
Prerequisites

Successful completion of
Mathematics Applications ATAR or equivalent
or MATH1720 Mathematics Fundamentals or equivalent
or MATX1720 Mathematics Fundamentals

or Enrolment in 62510 Master of Information Technology
or 62530 Master of Data Science
Incompatibility
CITS2232 Databases
S1, S2 MATH1012 Mathematical Theory and Methods
Prerequisites
Mathematics Specialist ATAR
or MATH1722 Mathematics Foundations: Specialist or equivalent
S1 PHIL1001 Ethics for the Digital Age: An Introduction to Moral Philosophy
Incompatibility
PHIL1107 Ethics, Free Will and Meaning
S1 PHYS1021 Applied Physics A
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals
or
Mathematics Methods ATAR
or MATH1721 Mathematics Foundations: Methods
or MATX1721 Mathematics Foundations
or
Mathematics Specialist ATAR
or MATH1722 Mathematics Foundations: Specialist
or equivalent
Incompatibility
PHYS1001 Physics for Scientists and Engineers
or PHYX1001 Physics for Scientists and Engineers
or PHYS1002 Modern Physics
or PHYS1100 Classical and Frontier Physics
or PHYS1200 Modern and Frontier Physics

Level 2

Degree-specific major units

Take all units (36 points):

Availability Unit code Unit name unit requirements
S2 CITS2002 Systems Programming
Prerequisites
Successful completion of
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation

or
Enrolment in
62510 Master of Information Technology
and Successful completion of
CITS1401 Computational Thinking with Python
Incompatibility
CITS1002 Programming and System
S1 CITS2005 Object Oriented Programming
Prerequisites
ATAR Mathematics Methods
or MATH1721 Mathematics Foundations: Methods or equivalent
or MATX1721 Mathematics Foundations
or Enrolment in
62510 Master of Information Technology
and CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation
Incompatibility
CITS1001 Software Engineering with Java
or CITX1001 Software Engineering with Java
S1 CITS2006 Defensive Cybersecurity
Prerequisites
Successful completion of
CITS1003 Introduction to Cybersecurity
or CITX1003 Introduction to Cybersecurity
and Successful completion of
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
S1 CITS2200 Data Structures and Algorithms
Prerequisites
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
and
Mathematics Methods ATAR
or MATH1721 Mathematics Foundations: Methods or equivalent
or MATX0721 Mathematics Foundations: Methods
S2 CITS2211 Discrete Structures
Prerequisites
MATH1721 Mathematics Foundations: Methods or equivalent
or MATX1721 Mathematics Foundations
(
and CITS1401 Computational Thinking with Python or equivalent )
S2 PHYS2004 Quantum and Relativity
Prerequisites
Successful completion of
PHYS1021 Applied Physics A or equivalent
Incompatibility
PHYS1002 Modern Physics
or PHYS1200 Modern and Frontier Physics

Level 3

Degree-specific major units

Take all units (36 points):

Availability Unit code Unit name unit requirements
S2 CITS3001 Advanced Algorithms
Prerequisites
Successful completion of
CITS2200 Data Structures and Algorithms
S1 CITS3002 Computer Networks
Prerequisites
CITS1002 Programming and System
or CITS2002 Systems Programming
S1 CITS3007 Secure Coding
Prerequisites
Successful completion of
CITS2200 Data Structures and Algorithms
or CITS2002 Systems Programming
or CITS2005 Object Oriented Programming
or CITS2402 Introduction to Data Science
S2 CITS3011 Intelligent Agents
Prerequisites
Successful completion of
CITS2200 Data Structures and Algorithms
S2 CITS3200 Professional Computing
Prerequisites
completion of at least 84 points, including
CITS2002 Systems Programming
or CITS2200 Data Structures and Algorithms
or CITS2402 Introduction to Data Science
Incompatibility
CITS5206 Professional Computing
S1 CITS3403 Agile Web Development
Prerequisites
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python or equivalent
Incompatibility
CITS5505 Agile Web Development
Degree-specific major units

Take unit(s) to the value of 6 points:

Availability Unit code Unit name unit requirements
S1 CITS3003 Graphics and Animation
Prerequisites
CITS1401 Computational Thinking with Python
or CITS2002 Systems Programming
or CITS2401 Computer Analysis and Visualisation
or CITX1401 Computational Thinking with Python
S2 CITS3005 Knowledge Representation
Prerequisites
CITS2200 Data Structures and Algorithms
and CITS2211 Discrete Structures
S1, S2 CITS3009 Computer Science WIL Internship
Prerequisites
Enrolment in
BH008 Bachelor of Advanced Computer Science [Honours]
or Enrolment in
MJD-CMPSC Computer Science

and Successful completion of
96 points
Incompatibility
WILG3001 Work Integrated Learning Internship Program
or WILG2201 Work Integrated Learning Internship Program

Level 4

Degree-specific major units

Take all units (48 points):

Availability Unit code Unit name unit requirements
S1, S2 CITS4010 Computer Science Honours Research Project Part 1
Prerequisites
Enrolment in
( BH008 Bachelor of Advanced Computer Science [Honours]
or BH005 Bachelor of Philosophy (Honours)

and Successful completion of 144 points and UWA weighted average mark (WAM) of at least 70 percent )
or
Enrolment in
BH004 Bachelor of Science (Honours) and HON-CMSSE Computer Science and Software Engineering
S1, S2 CITS4011 Computer Science Honours Research Project Part 2
Prerequisites
Successful completion of
CITS4010 Computer Science Honours Research Project Part 1
S2 CITS5507 High Performance Computing
Prerequisites

Enrolment in
( 62510 Master of Information Technology
or 62530 Master of Data Science

and 12 points of programming-based units )
or Enrolment in 62550 Master of Professional Engineering Software Engineering specialisation
or
Enrolment in
Bachelor of Engineering (Honours) or an associated Combined Degree
and 120 points including 12 points of programming-based units
Incompatibility
CITS3402 High Performance Computing
or SHPC4002 Advanced Computational Physics
S1 CITS5508 Machine Learning
Prerequisites
Enrolment in
HON-CMSSE Computer Science and Software Engineering
or 62510 Master of Information Technology
or 62530 Master of Data Science
or 42630 Master of Business Analytics
or 62550 Master of Professional Engineering
or 53560 Master of Physics
or BH008 Bachelor of Advanced Computer Science [Honours]
or 73660 Master of Medical Physics
or ( Bachelor of Engineering (Honours) or an associated Combined Degree
and 96 points
)
and Successful completion of
CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
or BUSN5101 Programming for Business
or CITS2401 Computer Analysis and Visualisation
S1 PHYS4021 Quantum Information and Computing
Prerequisites
Enrolment in
CM015 Bachelor of Science Frontier Physics and Master of Physics
or 53560 Master of Physics
or 65550 Master of Quantum Technology and Computing
or HON-MTHST Mathematics and Statistics
( HON-CMSSE Computer Science and Software Engineering
or MJD-ICYDM International Cybersecurity
or 62530 Master of Data Science and
MATH1012 Mathematical Theory and Methods or equivalent
or MATX1012 Mathematical Theory and Methods
Incompatibility
PHYS3005 Quantum Computation
S2 PHYS4022 Advanced Quantum Computing
Prerequisites
Enrolment in
53560 Master of Physics
or 65550 Master of Quantum Technology and Computing
or CM015 Bachelor of Science Frontier Physics and Master of Physics
or HON-PHYSC Physics
or BH008 Bachelor of Advanced Computer Science [Honours]
and
PHYS3005 Quantum Computation
or PHYS4021 Frontiers in Quantum Computation