国际学生入学条件
Complete the Victorian Certificate of Education (VCE) or an equivalent qualification.
Applicants are selected according to academic merit, in the form of the ATAR or notional ATAR calculated by the relevant Tertiary Admissions Centre. Courses which select primarily on ATAR will have minimum ATARs set in advance, and you can only be selected below this point if you have additional criteria to be considered.
International Baccalaureate (IB) Diploma - 31
IELTS total score of at least 6.5 in the Academic International English Language Testing System (IELTS), with no bands less than 6.0.
TOEFL (internet-based): total score at of least 79 and scores of 21 for writing, 18 for speaking, 13 for reading and 13 for listening.
TOEFL (paper-based): total score of at least 577 with a score of 4.5 in the Test of Written English.
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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:577
- 其他语言考试:Pearson Test of English - overall score of at least 58 and no PTE communicative skills score below 50
CRICOS代码: 002153M
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
数据科学专业的重点是统计学和计算机科学。它为数据分析的统计方面(数据收集,数据挖掘,建模和推理)以及计算机科学原理(算法,数据结构,数据管理和机器学习)奠定了坚实的基础。使学生对如何集成和应用统计和计算原理以解决大规模的,现实世界的数据科学问题有深入的了解。它适合对政府或行业的职业感兴趣或希望攻读专业研究生的学生。在过去的十年中,从手机,互联网,传感器和仪器捕获的数据量激增。学习整合并应用统计和计算原理来解决大规模数据科学中的现实问题,并为将来的职业发展做好准备。
The Bachelor of Science (BSc) course is designed to provide excellent science education across a broad range of science and technology areas of study and equip students with a range of knowledge and skills to enhance their science studies. The degree will provide flexible pathways to employment, research higher degrees and many professional postgraduate programs.<br><br>The major in Data Science has an emphasis on statistics and computer science. It provides a strong foundation in the statistical aspects of data analysis (data collection, data mining, modelling and inference), as well as the principles of computer science (algorithms, data structures, data management and machine learning).The major is designed to give students an intellectual understanding of how to integrate and apply statistical and computing principles to solve large scale, real-world data science problems. It is suitable for students interested in a career in government or industry or who wish to pursue specialised graduate study.
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