国际学生入学条件
All Monash undergraduate courses require you to have successfully completed a minimum of an Australian Year 12 qualification (or equivalent) and achieve the required academic entry score. Most Monash faculties generally use your most recent studies for admission however other guidelines may apply where your prior qualification may be considered.
GCE A Level 9
International Baccalaureate Diploma Programme 28
IELTS - 6.5 (Reading - 6.0, Listening - 6.0, Writing - 6.0, Speaking- 6.0)
Paper-based TOEFL – 550 (Test of written English - 4.5)
TOEFL iBT -79 (Reading- 13, Listening- 12, Writing: 21, Speaking- 18)
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IDP—雅思考试联合主办方

雅思考试总分
6.5
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雅思考试指南
- 雅思总分:6.5
- 托福网考总分:79
- 托福笔试总分:550
- 其他语言考试:Pearson Test of English (Academic) - 58 Overall score, with minimum scores Listening 50, Reading 50, Speaking 50 and Writing 50
CRICOS代码: 099359F
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
应用数据科学学士学位是一门专业课程,它将发展您的技术知识,从而能够应对数据挑战。通过选定的流,您将激发对物理科学,社会学或人类学研究,商业或工程学的热情。在小组和单个项目中工作,您将汇集IT和数学的关键技能,并将其应用于实际项目中。
Our Bachelor of Applied Data Science, and the Bachelor of Applied Data Science Advanced (Honours) will provide you with the skills you need to contribute to solving real-world data science challengesResearch and analysis with big datasets is making a positive impact on our daily lives across a very wide range of disciplines. Our Applied Data Science programs, deal with the challenges that large bodies of data present to research, industries, and society. These courses represent a key component of broader cross-faculty data science initiatives at Monash.<br>Data Science is one of the hottest topics in technology and is a highly in-demand field, but there is a shortage of skilled, qualified data scientists worldwide.Our world-class staff and teaching environment will provide you with a globally recognised education and the skills to make a difference in the world of Data Science.<br>CAREER OUTCOMES<br>Upon successful completion of the degree, possible careers for graduates could include: Business intelligence analyst, Data architect<br>Data mining engineer, Data scientist, Quantitative analyst<br>These careers can be in range of industries, including: Digital humanities, Energy, Natural resources and utilities, Cybersecurity, Urban planning and transport, Biotechnology and pharmaceuticals, Marketing, Engineering and robotics, Sport, Banking, Finance and insurance.
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