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Master of Data Science and Master of Engineering in Electronics Engineering

在麥考瑞大學
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Australia

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課程級別

碩士學位課程(授課型)

location

2 Year(s)

location

22 July 2024

location

6.5 IELTS

The interdisciplinary Master of Data Science will provide you with the technical skills to work in data science across a variety of industries. It emphasises concepts, insights and skills that will enable you to use current technologies and adapt to and create new technologies. You’ll be able to process and analyse data sets, use mathematical and statistical modelling techniques, machine learning and data mining to solve challenging problems, and communicate your findings to different audiences.

The Master of Engineering in Electronics Engineering will consolidate, build on, and enhance the theoretical and practical grounding you gained in your undergraduate studies, and prepare you for a career as an electronics engineer. It will refine your technical and practical skills, and give you in-depth knowledge in both analogue and digital electronics.
Gain a valuable set of interdisciplinary skills
Develop your capabilities across computer science, maths and statistics, enabling you to apply data science to real-world issues.
Expand your knowledge of data science
Choose electives in areas such as data security management and modern computational statistical methods.
Synthesise and apply established theories
Apply theories to the design, analysis, operation and performance of electrical components, circuits and electronic systems.
Design an electronic circuit or system
Design, implement, test and consider the maintenance of an electronic circuit or system often found in industrial R&D settings.

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  • 課程總長: 2 Year(s)
  • 費用: 無法取得
In學年take 位置
Session 2 (July), 2024 North Ryde
Session 1 (February), 2025 North Ryde
Session 2 (July), 2025 North Ryde
Session 1 (February), 2026 North Ryde
Session 2 (July), 2026 North Ryde

Entry requirements for 麥考瑞大學

Master of Data Science
AQF level 8 bachelor honours or graduate diploma qualification in Data Science
or

AQF level 7 bachelor in Data Science and a WAM of +65

Master of Engineering in Electronics Engineering
A 4-year bachelor's engineering qualification in a related engineering discipline, or
A 3-year AQF level 7 bachelor's engineering technologist qualification in a related field, equivalent to the first 3 years of a Washington Accord accredited degree.
Academic IELTS of 6.5 overall with minimum 6.0 in each band, or equivalent..TOEFL iBT 83 READING 13 WRITING 21 LISTENING 12 SPEAKING 18

English language requirements

托福(TOEFL iBT)總分: 83.0

最後申請期限:

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  • If you aren’t eligible for the above entry requirements, you might want to explore pathway options at 麥考瑞大學. If you want to find out more, please speak to our counsellors.

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