Master of Information Technology (General Stream)

Provider:
Course Code:
114039D
CRICOS Code:
114039D
Qualification Level:
Masters
Course Area:
Information Technology
Duration:
104-Week
Study Mode:
Full Time
Location:
Adelaide, South Australia, Australia
Course Fee:
AUD 46,800 Per Course
Delivery Mode:
On Campus
Target:
International
Intake:
2

Course Overview

The Master of Information Technology (MIT) is designed to position graduates as highly skilled and knowledgeable professionals that work use data analytics and artificial intelligence (AI) to drive change and improve business outcomes.

The Master of Information Technology has been designed to create professionals equipped with the toolkit they need to tackle today’s most pressing decision support challenges for businesses and organisations, provide an understanding of theoretical and technological research advances in AI, particularly in the context of data analytics and applied artificial intelligence. In addition, students are given a good grounding in the ethical, cultural, and social responsibility they have as AI and data analytics professionals. The course also encourages them to be creative and entrepreneurial thinkers who can use Innovative thinking to help transform existing organisations and create new business ventures.

Students have the opportunity to study current trends and predict future ones in the area of Artificial Intelligence and its associated technologies. A double capstone subject will enable students to synthesise their knowledge and skills in an applied task. Some students will engage in their own entrepreneurial venture and others will engage in applying data analytics and artificial intelligence techniques to industry related projects.

Students will study a core of 8 subjects which provides a good grounding in managing data, programming, professional communication, AI and entrepreneurship. In addition, they have the flexibility to choose between two majors: Data Analytics or Applied Artificial Intelligence.

Course Structure

Core Units:

COM501IT Professional Communication and Ethics

DAT501 Database Design and Implementation

PRO501 Introduction to Programming and Algorithms

PRO502 Artificial Intelligence

ENG501 Software Design and Development for Data Science

CAP601 Final Project A (Analysis and Design)

COM602 Information Technology, Entrepreneurship and Innovation

CAP602 Final Project B (Implementation)

MAT501 Discrete Mathematics

DAT502 Introduction to Data Science

DAT503 Foundations of Statistical Learning

PRO503 Programming AI Applications

DAT504 Data Wrangling

ENG502 AI Planning for Autonomy

DAT605 Big Data Processing

DAT606 Data Mining

DAT607 Social Media and Networks Analytics

PRO605 Computer Vision and Automation

PRO604 Evolutionary Computing

PRO606 Machine Learning

PRO607 Intelligent Decision Making

PRO608 Deep Learning

DAT608 Applications of Business Intelligence

DAT609 Big Data Management

Entry Requirement

Admission Requirements
Academic Entry Requirements
  • Completed two years or longer of study in Australia; or 
  • successful completion of an Australian Year 12 program; or 
  • successful completion of an English language course approved by AIAT from a registered English Language Intensive Course for Overseas Students (ELICOS) provider. Such courses give students the minimum English Language Proficiency (ELP) standard as specified in Table A of the AIAT Admissions Procedure; or 
  • achievement of the minimum requirements in an approved English language test no less than 24 months prior to commencement of studies at AIAT. 
Language Requirement
IELTS Score (Minimum)

IELTS (Academic) Overall 6.5
(min. sub-score of 6.0 each)

TOEFL-IBT Score (Minimum)

TOEFL – (IBT) 79 (min. 18 in writing)

PTE Score (Minimum)

PTE 60  (no skill score < 45)

Career Opportunities

In general, IT specialists are sought after in nearly every business or organisation and in a range of employment fields from finance, medicine, arts, education, the military, manufacturing to high-tech business. Job opportunities include:

Business Analyst

Business Intelligence Developer.

AI software developer.

Machine Learning Engineer.

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