Location
Sydney, Online
Delivery
Face to Face on campus
Course Duration
2 years Full Time
Intake Options

January, April, July, October

See Key Dates

AQF Level
AQF Level 9 delivered by ASA Institute of Higher Education

Course Overview

Course Overview

Artificial intelligence is one of the most rapidly growing technologies with a lot of promise. Driven by big data and advancements in computing power and algorithms it has huge potential to uncover new societal and environmental values.

The Master of Information Technology (Artificial Intelligence) aims to develop socially responsible and technically competent AI specialists, to help current and future industries across different sectors. This course is designed for current Information and Communication Technology (ICT) professionals with a bachelor’s degree in information technology or computer science who wish to gain advanced technical skills and expertise for the challenges of rapidly advancing ICT technologies, especially artificial intelligence.

Course Learning Outcomes

  • Integrate specialist knowledge to explicate the principles and limitations of Artificial Intelligence.
  • Examine and creatively solve complex business problems using Artificial Intelligence methods and technologies.
  • Analyse and evaluate applications of Artificial Intelligence in various domains of knowledge and practice.
  • Critically evaluate the sustainability of Artificial Intelligence solutions in an industry context.
  • Collaborate and communicate with others in a professional setting in a variety of modes, including verbally and in writing.
  • Critically reflect on the ethical, legal and socioeconomic implications of Artificial Intelligence.
  • Research and formulate complex information about Artificial Intelligence concepts and projects to specialist and non-specialist audiences.

Career Outcomes

The Master of Information Technology (Artificial Intelligence) will provide students with transferable skills, industry experience and in-depth knowledge of business practices, positioning them for potential careers such as the following:

  • AI Analyst
  • Machine Learning Specialist
  • Data Scientist
  • Data Analyst
  • Business Intelligence Developer
  • Web Analyst

Entry Requirements

Students wishing to gain entry into the Master of Information Technology (Artificial Intelligence) at ASA Institute of Higher Education must meet at least one of the following entry criteria.  

Admissions Criteria

  1. Applicants with higher education study: (bridging or enabling course).
  2. Applicants must have completed an undergraduate bachelor's degree (AQF Level 7).
  3. Applicants with Vocational Education and Training (VET) study: Not applicable.
  4. Applicants with work and life experience: Must demonstrate the ability to undertake study at this level and include evidence of relevant work experience to demonstrate at 5 years supervisory and engagement in their CV/resume.
  5. Applicants with recent secondary education: Not applicable.

Additional Note: Assessment of admission requirements is in accordance with ASA’s Diversity and Equity Policy and Student Admission Policy and Procedure.

English Language Requirements

Along with the above admissions criteria, international applicants also must demonstrate and meet one of the following minimum English Language Proficiency standards:  

For more information and country specific English exemptions please see Section 8. English Language Requirements of the Student Admission Policy – Include link directly to policy section

For more information about our standard admission requirements:  

Student Admission Policy

International Students

International Students must apply through a qualified Education Agent. For more information visit why we use an agent – website link

International applicants are only eligible to enroll as full-time students and must be 18 years of age or over at the time that they commence the course for which they have applied.

Recognition of Prior Learning

Any student with prior learning may submit appropriate evidence and apply for Recognition of Prior Learning. ASA may award credit towards achievement of a qualification or award for various forms of prior learning by comparing a student’s current level of skills and knowledge against unit learning outcomes.  

ASA may, at its discretion, recognise the validity of other forms of training or education, providing they are deemed equivalent to, or meet, the AQF standards. For further information please review the Recognition to Prior Learning Policy.

Fees and Scholarships

Fees & Scholarships

ASA Tuition fees are charged on a 'per unit of study' basis. The number of units of study are specified within the Letter of Offer provided to each student*.  

Students must pay their fees for each study period in advance and in accordance with their LoO which provides admission to the course. The LoO indicates all due dates for fee payments during the course enrolment.  

Fees Schedule

*If you have/plan to apply for Recognition of Prior Learning, the total number of units of study is subject to change.

Other Costs

All other fees associated with studying at ASA are non-tuition fee related and will only be charged dependent on the individual student circumstances, these include but are not limited to:  

  • Advanced Standing Assessment (post enrolment)  
  • Replacement of Official documents (testamur or transcripts)
  • Late Payment fee
  • Replacement Student ID
  • Replacement for lost or damaged equipment
  • Payment plan fee

Course Structure

The Master of Information Technology (Artificial Intelligence) comprises fifteen (15) units of core, specialism and electives over 400, 500 and 600 levels to meet the requirements with the Australian Qualifications Framework (Level 9), and Higher Educations Standards Framework.  

The course commences with three (3) core units and one (1) specialism at level 400. Within the 500 Level there is one (1) core unit, two (2) specialism units and one (1) elective. At the final level 600, there are two (2) core units, three (3) specialism units, one (1) elective and one (1) Work Integrated Learning/Capstone unit worth 20 credit points.  

Level 400

  • BUS400 Emotional Intelligence, Leadership and Communication
  • MIT400 Principles of Programming and Database Management Systems
  • MIT401 Contemporary Digital Ecosystems
  • MAI400 Artificial Intelligence Fundamentals

After successful completion of all level 400 units, any student is wishing to discontinue their studies with ASA may exit with a Graduate Certificate of Information Technology (Artificial Intelligence). For more information – Graduate Certificate in Information Technology (Artificial Intelligence) [Exit Point] Add in link for exit qual page

Level 500

  • MIT500 Language Bots
  • MBA500 Big Data & Cloud Computing Fundamentals
  • MAI500 Emerging Topics in Artificial Intelligence

Level 500 Elective – See elective bank below

  • MIT501 Network Infrastructure
  • MIT503 Problem Solving in the Digital Age
  • MCS501 Human Factors and Cyber Criminal Behaviour
  • MBA502 Digital Transformation Strategies

After successful completion of all level 400 and level 500 units, any student is wishing to discontinue their studies with ASA may exit with a Graduate Diploma of Information Technology (Artificial Intelligence). For more information – Graduate Diploma in Information Technology (Artificial Intelligence) [Exit Point] Add in link for exit qual page.

LEVEL 600

  • MIT600 Management Information and Enterprise Systems
  • MAI600 Advanced Machine and Deep Learning
  • MIT601 Digital Data Governance
  • MAI601 Rights, Responsibilities and Artificial Intelligence
  • MAI602 Advanced Topics in Artificial Intelligence
  • Level 600 Elective – See elective bank below
  • MIT602 OR WIL602 (MIT Capstone MIT Work Integrated Learning )

Level 600 Elective Bank

  • MCS600 Australian Cyber Law and Digital Evidence
  • MIT603 Information Security
  • MIT604 Business Practice for IT Professionals
  • MIT606 Critical Infrastructure and Control System Security
  • MIT608 Consultancy and Engaging with Stakeholders
  • MIT609 Enterprise Security

Delivery Overview

ASA operates on a quarterly basis (four intakes per year) with each intake running for 8 weeks at a time. All units are delivered face to face on campus unless otherwise specified. Students must attend classes in person. *

Students enrol on a full time basis into two (2) units per quarter to complete within the required course duration.  

*This program is currently not offered to Domestic Students.

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