Double 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; and (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:

Units

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; N/A = not available in 2022

Note:Units that are indicated as N/A may be available in 2023 or 2024.

Level 1

Degree-specific major units
Take all units (36 points):
Availability Unit code Unit name unit requirements
S1, S2 CITS1001 Software Engineering with Java
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
Nil
S1 CITS1003 Introduction to Cybersecurity
Prerequisites:
Nil
Co-requisites:
Nil
Incompatibility:
CITS3004 Cybersecurity
S1, S2 CITS1401 Computational Thinking with Python
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
CITS2401 Computer Analysis and Visualisation
S2 CITS1402 Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
Co-requisites:
Nil
Incompatibility:
CITS2232 Databases
S2 CITS2002 Systems Programming
Prerequisites:
completion of 6 points of programming-based units
Co-requisites:
Nil
Incompatibility:
CITS1002 Programming and System
S1 PHIL1001 Ethics for the Digital Age: An Introduction to Moral Philosophy
Prerequisites:
Nil.
Co-requisites:
Nil.
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
S1 CITS2200 Data Structures and Algorithms
Prerequisites:
CITS1001 Software Engineering with Java and ( Mathematics Methods ATAR
or
MATH1721 Mathematics Foundations: Methods
or
equivalent )
Co-requisites:
Nil
Incompatibility:
Nil
S2 CITS2211 Discrete Structures
Prerequisites:
MATH1721 Mathematics Foundations: Methods and completion of 6 points of programming-based units
Co-requisites:
Nil
Incompatibility:
Nil
S2 CITS3001 Algorithms, Agents and Artificial Intelligence
Prerequisites:
CITS2200 Data Structures and Algorithms
Co-requisites:
Nil
Incompatibility:
Nil
S1 CITS3002 Computer Networks
Prerequisites:
CITS1002 Programming and System
or
CITS2002 Systems Programming
Co-requisites:
Nil
Incompatibility:
Nil
S2 PHIL2008 Machine Minds and Superintelligence: The Philosophy of Artificial Intelligence
Prerequisites:
Any Level 1 unit
Co-requisites:
Nil
Incompatibility:
Nil

Level 3

Degree-specific major units
Take all units (36 points):
Availability Unit code Unit name unit requirements
S2 CITS3005 Knowledge Representation
Prerequisites:
CITS2200 Data Structures and Algorithms and CITS2211 Discrete Structures
Co-requisites:
Nil
Incompatibility:
Nil
S2 CITS3007 Secure Coding
Prerequisites:
completion of 12 points of programming-based units
Co-requisites:
Nil
Incompatibility:
Nil
S2 CITS3200 Professional Computing
Prerequisites:
completion of at least 84 points, including ( CITS1401 Computational Thinking with Python
or
CITS1001 Software Engineering with Java ) and ( CITS2002 Systems Programming
or
CITS2200 Data Structures and Algorithms
or
CITS2402 Introduction to Data Science )
Co-requisites:
Nil
Incompatibility:
CITS5206 Professional Computing
S1 CITS3403 Agile Web Development
Prerequisites:
CITS1001 Software Engineering with Java
or
CITS1401 Computational Thinking with Python
or
CITS2002 Systems Programming
or
equivalent
Co-requisites:
Nil
Incompatibility:
CITS5505 Agile Web Development
S1 CITS4402 Computer Vision
Prerequisites:
Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours]
or
the 62530 Master of Data Science
or
the 63550 Master of Engineering )
or
( the 62550 Master of Professional Engineering and the SP-EBIOM Biomedical Engineering specialisation
or
the SP-EELEC Electrical and Electronic Engineering specialisation
or
the SP-ESOFT Software Engineering specialisation )
or
( the 53560 Master of Physics and the SPSP-MEDPH Medical Physics specialisation )
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-ARIDM Artificial Intelligence major )
or
( the BH011 Bachelor of Engineering [Honours] and the MJD-EAUTO Automation and Robotics Engineering major )
Co-requisites:
Nil
Incompatibility:
Nil
S2 CITS4403 Computational Modelling
Prerequisites:
Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours]
or
the 62510 Master of Information Technology
or
the 62530 Master of Data Science )
or
( the 62550 Master of Professional Engineering and the SP-ESOFT Software Engineering specialisation )
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and MJD-ICYDM International Cybersecurity major
or
the MJD-ARIDM Artificial Intelligence major )
Co-requisites:
Nil
Incompatibility:
Nil
Degree-specific major units
Take unit(s) to the value of 6 points:
Availability Unit code Unit name unit requirements
S1 PHIL3003 Moral Theory
Prerequisites:
any Level 2 Philosophy unit
or
PPHE2211
or
PPHE3327
Co-requisites:
Nil.
Incompatibility:
PHIL 2209 Moral Theory
S1 SCIE2100 Social Responsibility in Action
Prerequisites:
completion of 48 points of prior study
Co-requisites:
Nil.
Incompatibility:
Nil.

Level 4

Degree-specific major units
Take all units (48 points):
Availability Unit code Unit name unit requirements
N/A CITS4010 Computer Science Honours Research Project Part 1
Prerequisites:
enrolment in the Bachelor of Advanced Computer Science [Honours]
Co-requisites:
Nil
Incompatibility:
Nil
N/A CITS4011 Computer Science Honours Research Project Part 2
Prerequisites:
CITS4010 Computer Science Honours Research Project Part 1
Co-requisites:
Nil
Incompatibility:
Nil
S1 CITS4012 Natural Language Processing
Prerequisites:
Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours]
or
the 62510 Master of Information Technology
or
the 62530 Master of Data Science )
or
( the 62550 Master of Professional Engineering and the SP-ESOFT Software Engineering specialisation )
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-ARIDM Artificial Intelligence major ) and completion of 12 points of programming-based units
Co-requisites:
Nil
Incompatibility:
Nil
S1 CITS4404 Artificial Intelligence and Adaptive Systems
Prerequisites:
Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours]
or
the 62510 Master of Information Technology
or
the 62530 Master of Data Science )
or
( the 62550 Master of Professional Engineering and the SP-EELEC Electrical and Electronic Engineering specialisation
or
the SP-ESOFT Software Engineering specialisation )
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-ARIDM Artificial Intelligence major ) and completion of 12 points of programming-based units
Co-requisites:
Nil
Incompatibility:
Nil
N/A CITS5017 Deep Learning
Prerequisites:
Enrolment in in the 63550 Master of Engineering
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-ARIDM Artificial Intelligence major ) and CITS5508 Machine Learning
Co-requisites:
Nil
Incompatibility:
Nil
S1 CITS5508 Machine Learning
Prerequisites:
Enrolment in in the ( HON-CMSSE Computer Science and Software Engineering [Honours]
or
the 62510 Master of Information Technology
or
the 62530 Master of Data Science
or
the 63550 Master of Engineering
or
the 42630 Master of Business Analytics )
or
( the 62550 Master of Professional Engineering and the SP-ESOFT Software Engineering specialisation )
or
( the 53560 Master of Physics and the SP-MEDPH Medical Physics specialisation )
or
( the BH008 Bachelor of Advanced Computer Science [Honours] and the MJD-CDSDM Computing and Data Science major
or
the MJD-ARIDM Artificial Intelligence major ) and completion of 12 points of programming-based units
Co-requisites:
Nil
Incompatibility:
Nil