Master of Information Technology (Data Science)

Course Details

The Australian International Institute of Higher Education (AIIHE) has designed a profession-aligned Master of Information Technology (Data Science) program tailored to empower graduates for leadership roles as ICT senior executives, data analyst or ICT professional experts, with the specialised knowledge and skills in the area of data science and its associated fields. In an era where all size-organisations trust heavily on information systems and Internet, relying on critical business and customer data that can help the organisation makes better decisions and gain a competitive advantage. As a business professional or ICT specialist, graduates not only understand how to analyse datasets but also interpret the data and sourcing the most relevant data which can be incorporated into the organisational business decision making system in a way of offering recommendation to decision makers and managers. This program equips graduates with advanced technical proficiencies in the core knowledge of IT and data science technologies. By integrating knowledge and skills, the curriculum endows students with the tools and techniques required to gather, analyse, cleanse, design, and interpret data to confront challenges in the ever-evolving ICT space. The program is structured in alignment with the comprehensive ACS body of knowledge and added to other industry alignments such as the ACM-IEEE Computing Curricula. At its core, the program integrates foundational units in information technology, such as software development, systems analysis design, database management systems, ethical and professional practice in IT, and project management. This foundation is further enriched by the specialised data science units such as statistical methods, data analytics, data management, modelling and mining, cloud computing and networks, ethical and legal issues in data science, and machine learning and optimisation techniques. The pedagogy of the Master of Information Technology (Data Science) seamlessly blends practical insights from industry experts with a rigorous academic framework, establishing a robust understanding of general information technology and data science level. The salient feature of this course is the inclusion of a Capstone Project subject, focused on tackling a contemporary issue and challenges pertaining to IT and data science. Here, students apply and integrate their knowledge to propose recommendations or solutions.

Qualification: Master Degree (By Coursework)

Course structure: 15 subjects; 10 credit points (cps) per subject; (Only Data Science Capstone Industry Project provides 20 cps) 160 credit points to complete the full course