Master of Information Technology, Specialisation in Artificial Intelligence

Master of Information Technology, Specialisation in Artificial Intelligence

Duration

2 Years Full-Time

Study Mode

Face-to-Face

Intake

Feb, May, Sep

Domestic Students Fee

$32,000

International Students Fee

$48,000

CRICOS Course Code

117490E

AQF Level

Location

Surry Hills, NSW, 2010

Overview

The Master of Information Technology (MIT) and its specialisation in Artificial Intelligence (AI) will allow graduates to upskill and transition to new and emerging roles or refresh and augment existing competencies and skills. Employment opportunities for graduates of the MIT are wide-ranging because digital skills, including AI, are inherent in most jobs. Therefore, organisations will compete for graduates with highly-valued IT knowledge, competencies and skills.

Careers in traditional technology industries, including software, aerospace, and defence, are in high demand. Increasingly, IT skills are sought after in consulting, medical / pharmaceutical and banking / finance industries. Other industries include hospitality / travel, consumer products, and manufacturing.

Recognition under the Australian Qualifications Framework (AQF)

All courses at SHEA are accredited by the Tertiary Education Quality and Standards Agency (TEQSA) and aligned with the Australian Qualifications Framework (AQF). TEQSA is the national regulator of higher education in Australia.
This recognition ensures that SHEA delivers qualifications that meet Australia’s Higher Education Standards and maintain nationally recognised quality benchmarks.

SHEA’s partnership with the Australian Computer Society (ACS) allows each student free membership to ACS. Each student will have access to over 35000 learning resources, 400 professional events, the chance to be professionally mentored and access to insights into the tech industry.

Course Learning Outcomes

Graduates of the Master of Information Technology, Specialisation in Artificial Intelligence will be able to:

CLO1 Demonstrate in-depth and integrated knowledge of advanced IT concepts, systems, software, and associated standards, policies, and procedures.
CLO2 Design, recommend and justify solutions to solve complex IT-related problems to support the realisation of strategic objectives.
CLO3 Communicate effectively with technical and non-technical stakeholders in diverse work environments to meet IT needs and expectations.
CLO4 Critically appraise IT projects in awareness of legislative, cultural, and workplace health and safety requirements and responsibilities.
CLO5 Apply sustainable and ethical thinking across the broad and diverse spectrum of IT professional practice.
CLO6 Consolidate the integration of ICT standards and theory to achieve best practice outcomes as an IT practitioner.

Entry Requirements

All applicants

A bachelor’s degree or higher in a related IT discipline

Applicants with qualifications in a related IT discipline will need to complete an application for advanced standing to gain credit for prior learning.

A bachelor’s degree or higher in any discipline AND

either

- two years relevant work experience with significant exposure to the application of technology OR
- evidence of academic capability judged to be equivalent.

Detailed academic requirements : https://shea.edu.au/postgraduate-admission-requirements/

International Applicants

In addition, International Students must meet the following:

In addition to the entry requirements listed above, international students whose first language is not English must demonstrate that their English proficiency meets the specified level of English proficiency for the MIT course by providing proof of an International English Language Testing System (IELTS) overall test result (or equivalent alternative test result as defined by regulation). The IELTS requirement for the MIT is 6.5 or higher overall, with no band lower than 6.

Detailed English requirements : https://shea.edu.au/postgraduate-admission-requirements/

Career Opportunities

AI Engineer

Machine Learning (ML) Engineer

Data Engineer

Software Engineer

Natural Language Processing (NLP) Engineer

Robotics Engineer

Deep Learning Engineer

IT Project Management

Cybersecurity Specialist

Robotics Assistant

Course Content and Sequence

Detail Course Content

Mode of Delivery

We focus on learning and teaching delivery method where students will be required to engage in the subject content prior to classes and tutorials so that the face-to-face engagement can be used to develop higher-order skills such as interpersonal skills and teamwork.

On campus
A mix of online tools through the Learning Management System to subject-specific learning resources and information including submitting assessments
Out-of-class activities to engage students throughout their course.

Methods of Study and Assessment

The mode of delivery is face-to-face, supported by SHEA’s Learning Management System for access to subject-specific learning resources and information, including submitting assessments. Moodle will be the LMS for delivering the learning strategy to engage interactively with students using the digital tools anytime and anywhere to augment their classroom experience.

The assessment types in the course are predominantly authentic assessments with some traditional assessments for knowledge-based subjects in the first year:

Problem-based tasks (either individually or team)
Case studies
Presentations
Report
Peer and self-assessment (moderated)
Quizzes (used well can keep students engaged, formative assessment because quizzes are easy to administer and provide feedback)
Project (individual and in teams)

Credit for Prior Learning

Skyline Higher Education Australia (SHEA) grants credit towards a course of study on the basis of prior learning, whether from formal studies or professional work experience to ensure that students commence study at a level appropriate to their prior learning experiences so that they are not required to repeat prior learning. For more information please visit SHEA’s Credit For Prior Learning Policy and Articulations