Extended Major Overview

Description

The Bachelor of Advanced Computer Science (Artificial Intelligence) will equip you with the skills and knowledge to understand, evaluate, design and implement artificial intelligence systems. You'll learn tools and techniques to develop and use artificial intelligence systems make a significant contribution to communities, the success of organisations and the global economy. You will study the philosophical, legal and ethical context for AI in real-world applications. Working alongside inspiring researchers and industry, you'll get hands-on practice in in a variety of contemporary artificial intelligence techniques, from knowledge representation to deep learning, developing in-demand skills and leadership qualities for an exciting career in AI.

Outcomes

Students are able to:

  1. acquire the skills and knowledge to understand, evaluate, design and implement artificial intelligence systems
  2. apply contemporary artificial intelligence techniques, from knowledge representation, to deep learning
  3. discuss the ethical, social and philosophical context for AI technologies as they apply to real world settings
  4. work effectively as a team member and a leader for practical AI projects
  5. extend knowledge in artificial intelligence through research, experimentation and analysis.
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

ATAR Mathematics Methods

Courses

Artificial Intelligence 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 (24 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 PHIL1001 Ethics for the Digital Age: An Introduction to Moral Philosophy
Incompatibility
PHIL1107 Ethics, Free Will and Meaning

Level 2

Degree-specific major units

Take all units (30 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 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 PHIL2008 Machine Minds and Superintelligence: The Philosophy of Artificial Intelligence
Prerequisites
Any Level 1 unit
Degree-specific major units

Group A—students should take option units to the value of 6 points in total from Group A and B.

Availability Unit code Unit name unit requirements
S1 SCIE2100 Social Responsibility in Action
Prerequisites
completion of 48 points of prior study

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
CITS2002 Systems Programming
S2 CITS3005 Knowledge Representation
Prerequisites
CITS2200 Data Structures and Algorithms
and CITS2211 Discrete Structures
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

Group B—students should take option units to the value of 6 points in total from Group A and B.

Availability Unit code Unit name unit requirements
S1 PHIL3003 Moral Theory
Prerequisites
Successful completion of
any level 2 Philosophy unit
or PPHE2211 History of Political Ideas
or HUMR2001 Global and Environmental Justice
Incompatibility
PHIL 2209 Moral Theory
Degree-specific major units

Group C—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
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
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
S2 CITS3402 High Performance Computing
Prerequisites
CITS2002 Systems Programming
Incompatibility
CITS5507 High Performance Computing
or PHYS4022 Advanced Quantum Computing
or SHPC4002 Advanced Computational Physics

Level 4

Degree-specific major units

Take all units (24 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
Degree-specific major units

Group D—take unit(s) to the value of 12 points:

Availability Unit code Unit name unit requirements
S2 CITS4012 Natural Language Processing
Prerequisites
Enrolment in
HON-CMSSE Computer Science and Software Engineering
or 62510 Master of Information Technology
or 62530 Master of Data Science
or 62550 Master of Professional Engineering
or BH008 Bachelor of Advanced Computer Science [Honours]
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 CITS2401 Computer Analysis and Visualisation
S1 CITS4402 Computer Vision
Prerequisites
Enrolment in
HON-CMSSE Computer Science and Software Engineering
or 62530 Master of Data Science
or
62550 Master of Professional Engineering and SP-EBIOM Biomedical Engineering specialisation
or SP-EELEC Electrical and Electronic Engineering specialisation
or SP-ESOFT Software Engineering specialisation
or
53560 Master of Physics and SP-MEDPH Medical Physics
or 73660 Master of Medical Physics
or
BH008 Bachelor of Advanced Computer Science [Honours] and MJD-ARIDM Artificial Intelligence
or
Bachelor of Engineering (Honours) or an associated Combined Degree
and Successful completion of
96 points
and CITS2401 Computer Analysis and Visualisation
or CITS1401 Computational Thinking with Python
or CITX1401 Computational Thinking with Python
Incompatibility
CITS4240 Computer Vision
S2 CITS4403 Computational Modelling
Prerequisites
Enrolment in
BH008 Bachelor of Advanced Computer Science [Honours]
or HON-CMSSE Computer Science and Software Engineering
or 62510 Master of Information Technology
or 62530 Master of Data Science
or 73660 Master of Medical Physics
or ( 61550 Master of Professional Engineering and Software Engineering specialisation
)
and Successful completion of
CITS1401 Computational Thinking with Python
or CITS2401 Computer Analysis and Visualisation or equivalent
S1 CITS4404 Artificial Intelligence and Adaptive Systems
Prerequisites
Successful completion of
CITS2002 Systems Programming
or CITS2005 Object Oriented Programming
or CITS2402 Introduction to Data Science
or ELEC3020 Embedded Systems
or ( CITS1401 Computational Thinking with Python
and CITS4009 Computational Data Analysis
)
Degree-specific major units

Group E—take unit(s) to the value of 12 points:

Availability Unit code Unit name unit requirements
S2 CITS5017 Deep Learning
Prerequisites
Successful completion of
CITS5508 Machine Learning
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