Information
Overview
- Be prepared for a world where data drives innovation and decision-making. Delve into concepts such as deep learning, natural language processing, information retrieval and knowledge management and be ready to turn your skills into real-world impact.
- Learn how to 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.
Career outcomes
Career paths you may consider include:
- intelligence analyst
- AI consultant
- deep learning engineer
- web developer
- AI ethics specialist
- programmer
- games developer
- AI research scientist
- machine learning engineer
- robotics engineer
- computer vision engineer
- computer engineer
- data scientist
Demands for the skill sets
Given our newfound ability to gather valuable data on almost any topic, the demands for the skill sets in artificial intelligence and applied data science are within various industries, whether government, industry bodies or commercial enterprise.
Professor Yan Li
What you'll study
Explore the courses you'll study as part of this specialisation.
Refer to the UniSQ Handbook for detailed recommended enrolment patterns and course availability.
Relevant degrees for this specialisation
Master of Data Science
Be ready to make an impact in our technology driven world. Develop the in-demand skills in extract new insights to inform product development, improved services and new businesses. Learn to work both independently and collaboratively and tailor your degree by choosing a specialisation that aligns with your career goals. Gain an industry-recognised qualification that is accredited by the Australian Computer Society (ACS).
Find out more
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