Overview

• Study the Artificial Intelligence and Machine Learning specialisation with UniSQ and explore concepts regarding deep learning, natural language processing, information retrieval and knowledge management. 
• In an increasingly data driven world, it's critical that we can use information retrieval technologies and systems to query and retrieve useful information to support advanced data analytics and inform high-level decision-making.
• Explore concepts and learning within big data management, machine learning and data mining to ensure you have the knowledge for a career in this dynamic industry. 
• Choose between two different pathways of research in your masters degree:
  • Research Project track — this pathway equips you with research skills and enables you to develop a research thesis in applied data science through an independent project in your chosen disciplinary application area.
  • Research Training track — this pathway allows you to develop your research capability and gain specialised cognitive and technical computational and information system skills to prepare for a professional career in science or your chosen disciplinary application area.

Further study

Upon successful completion of the Master of Data Science, students have the opportunity to move into PhD study.

Professional accreditation

The Master of Data Science is accredited by the Australian Computer Society (ACS), giving eligibility for ACS membership, and recognition by ACS for certification.

Career outcomes

• This degree provides a diverse range of career outcomes with opportunity to advance your profession into any big-data, artificial intelligence or machine learning field. As a graduate, you will become an efficient data scientist, utilising predictive analytics, big data management, big data analysis and modelling, artificial intelligence and machine learning to produce insights that make important, real-life decisions.
• Data scientists are highly sought after, and the demand is set to increase as organisations, within technical, engineering, science, business, education and research sectors, require skilled employees to understand and interpret data, navigate artificial intelligence and machine learning for the betterment of business. 
• Careers with a focus on artificial intelligence may include a computer engineer, games developer, intelligence analyst, programmer, web developer. Data science careers can include data scientist, data analyst, data engineer or data manager.