Data Science Charles Darwin University

Overview

The Master of Data Science at Charles Darwin University is an advanced course aimed at equipping students with the essential skills required to excel in data analysis and interpretation. This programme is structured to accommodate both individuals with a background in data science and those new to the field, making it an inclusive option for a diverse range of learners. The course spans two years for full-time students, with part-time options available for those balancing work or other commitments. Students can begin their studies in Semester 1, Semester 2, or during the Summer Semester, providing flexibility in their educational journey.

Charles Darwin University is renowned for its commitment to quality education and has been ranked as the second-best Australian university for postgraduate employment outcomes according to the Good Universities Guide 2024. The institution is also recognised within the top 100 universities globally for educational quality, as per the Times Higher Education Impact Rankings 2021. This strong reputation is bolstered by the university's partnerships with industry leaders and its state-of-the-art facilities, which enhance the learning experience. Moreover, CDU's graduates enjoy higher than average employment rates and starting salaries, making this programme a strategic choice for future career success.

The annual tuition fee for international students enrolling in the Master of Data Science is AUD 31,688. This fee is applicable for full-time study in 2025 and is subject to annual increases. For detailed information regarding fees in your local currency, please visit the Fees and Funding section.

The Master of Data Science curriculum comprises core units and elective options, allowing students to tailor their learning to their interests. The core units include:

• Software Now
• Foundations of Data Science
• Database Concepts
• Professional Issues in Technology
• Business Intelligence and Data Mining
• IT Service Management
• Risk and Reliability Management
• Advanced Data Management
• Data Analytics and Visualisation
• Machine Learning and Artificial Intelligence
• Principles of Operating Systems, Networks and Cyber Security
• Principles of Software Systems
• Data Science Practice (20 credit points)

Additionally, students must select one specialist elective unit, which can either be a Professional Experience unit or an IT Thesis unit, totalling 20 credit points. This structure ensures a comprehensive understanding of data science principles while allowing for practical application through project-based assessments.

Graduates of the Master of Data Science programme are well-prepared to enter various roles within the industry. Potential career paths include positions as business analysts, data scientists, data analysts, data engineers, or data managers. The programme’s alignment with industry needs ensures that students acquire relevant skills that are highly sought after in the job market.