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The Master of Computing (Data Analytics) program aims to cultivate future computing experts with comprehensive expertise in technical, managerial, and ethical dimensions of computing. The data analytics specialization emphasizes leveraging state-of-the-art technologies to generate actionable insights from data.
This program caters to both computing graduates seeking advanced skills and non-computing graduates looking to transition into the thriving computing sector.
Curriculum Highlights
Students will explore advanced programming, data management, information systems, project management, data mining, big data, knowledge engineering, and cybersecurity. The curriculum draws on the university's research excellence in artificial intelligence, cybersecurity, and data science.
The program boosts employability by combining academic theory with hands-on practice, including multiple subjects with integrated Work Integrated Learning components.
Students undertake a final capstone project, applying their knowledge to solve authentic industry challenges, often in collaboration with corporate partners.
Program Overview
The Master of Computing empowers graduates to address real-world challenges by blending computer science methodologies with strategic management approaches and creating practical computing solutions.
The Data Analytics specialization prepares graduates to evaluate, design, implement, and oversee sophisticated computing systems across diverse sectors. Graduates will qualify for roles driving technological and data-centric innovation, including positions as data analysts, big data specialists, data engineers, architects, systems developers, analysts, and software solution architects.
Recognised 3-year Bachelor degree in any area. Applicants with other qualifications and substantial relevant professional experience may be considered.
English Requirements
IELTS Academic Overall Score of 6.5, reading 6.0, writing 6.0, listening 6.0, speaking 6.0; TOEFL (Internet-based) score of 86, reading 18, writing 18, listening 17, speaking 17; PTE Academic overall score of 62 All bands 54