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In our modern era dominated by data and AI-driven innovation, this program positions you at the cutting edge of this rapidly evolving discipline. Whether you're looking to advance in your current profession or transition to a new one, this curriculum equips you with the tools for achievement.
Combine fundamental data science concepts with sophisticated AI methodologies to analyze intricate datasets and create smart solutions. Explore key domains including data management, graphical representation, and forecasting models. Cultivate the expertise required to address practical challenges and pioneer innovations in an AI-powered tomorrow.
Select from two focused tracks to deepen your knowledge in your preferred area:
Computational Intelligence
Health Data Analytics.
Tailored for both seasoned practitioners and field newcomers, this program features instruction from top industry specialists and curriculum aligned with current sector developments. You'll acquire competencies sought after in diverse sectors such as healthcare, financial services, IT, and public administration.
Students with a three year, Bachelor degree (AQF level 7) or higher in a different discipline area (also called non-cognate discipline) to data science and their chosen specialisation are eligible to undertake the 160 unit program.
Students with a three year Bachelor degree (AQF level 7) or higher in a non-cognate discipline who also hold a minimum of five years demonstrable Recognised Prior Learning (RPL) in an area related to data science and/or their chosen specialisation (also called cognate discipline) may be eligible to study between 120 and 160 units, inclusive.
Students with a three year Bachelor degree (AQF level 7) or Bachelor (Honours) (AQF 8) in a cognate discipline to data science and/or their specialisation may be eligible to study between 120 and 160 units, inclusive.
Students with a Graduate Certificate or Graduate Diploma (AQF level 8) in a cognate discipline to data science and/or data analytics may be eligible to study 120 units, inclusive.
English Language Requirements
All Applicants must demonstrate that they meet the University’s English proficiency requirement.
IELTS Overall Minimum: 6.5
IELTS Sub Test Minimum: 6