Gain skills to manage, analyse and process data, expanding your knowledge of its analytical, organisational and computational aspects. Find innovative solutions to some of the biggest challenges facing the world today and make lives better. Help provide the evidence needed to change minds and transform businesses, communities and countries. At Monash, you’ll learn from and work with some of Australia’s best IT experts. You won’t just be exposed to cutting-edge technical knowledge and know-how, you’ll be adopting a mindset focused on creating a positive impact wherever you go.Through the course, you’ll learn how to:analyse the lifecycle of data through an organisation, apply major theories in data analysis and exploration in common contexts and challengesplan a data science project in a new area of applicationinvestigate, analyse, document and communicate the core issues and requirements of developing a global organisation’s data analysis capabilitiesdemonstrate an understanding of data science to the standard of senior professional practicereview, assess, synthesise and apply modern data science theories for professional or academic purposesdocument and communicate ethical and legal considerations in relation to privacy and security in data science practiceCAREER OPTIONS - Chief data officer, Data analyst,Data architect,Data engineer,Data scientist, Quantitative analyst.
CRICOS
085349A
ตัวเลือกคอร์ส
เต็มเวลา
(1.5 ปี)
ค่าเรียน
A$57,540.00 (฿ 1,301,398)
ต่อปี
Accommodation Cost - Halls of Residence- $353.15 per week
เริ่มเรียน
กรกฎาคม 2027
สถานที่
Clayton Campus
Wellington Road,
Clayton,
Victoria,
3800, Melbourne, Australia
เต็มเวลา
(1.5 ปี)
ค่าเรียน
A$57,540.00 (฿ 1,301,398)
ต่อปี
Accommodation Cost - Halls of Residence- $353.15 per week
เริ่มเรียน
มีนาคม 2027
สถานที่
Clayton Campus
Wellington Road,
Clayton,
Victoria,
3800, Melbourne, Australia
ข้อกำหนดในการสมัคร
สำหรับนักเรียนนานาชาติ
An Australian bachelor degree (or equivalent) in a cognate discipline relating to IT, or a business, engineering or science degree with an IT major including python programming, databases, algorithms, computer architecture, operating systems and networks, and mathematics (including calculus, linear algebra and probability and statistics) with at least a credit (60%) average.