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Master of Data Science (Artificial Intelligence and Machine Learning)

在南昆士蘭大學雪梨教育中心
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位置

Australia

location
課程級別

碩士學位課程(授課型)

location

2 Year(s)

location

22 January 2026

location

6.0 IELTS

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.

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.

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  • 課程總長: 2 Year(s)
  • 費用: 無法取得
In學年take 位置
Trimester 1 (January), 2026 Surry Hills
Trimester 2 (May), 2026 Surry Hills
Trimester 3 (September), 2026 Surry Hills

Entry requirements for 南昆士蘭大學雪梨教育中心

3-year bachelor degree from an Australian university, or equivalent, in any area
or
a minimum of 5 years' professional work experience equivalent to an AQF Level 7 qualification (bachelor).
IELTS (Academic) Overall score of 6 with a minimum 5.5 in each subtest
TOEFL iBT- Overall minimum of 80 and 19 in each subtest
TOEFL (paperbased) 550 (or better) (with minimum test of written English score of 4.5)

English language requirements

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