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.
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
Admission Requirements | |
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Academic Entry Requirements |
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Language Requirement | |
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IELTS Score (Minimum) | IELTS (Academic) Overall 6.5 |
TOEFL-IBT Score (Minimum) | TOEFL – (IBT) 79 (min. 18 in writing) |
PTE Score (Minimum) | PTE 60 (no skill score < 45) |
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.