国际学生入学条件
Completion of Australian Year 12 (VCE, HSC, QCE, WACE, SACE, TCE, NTCE, ACT) with a minimum Australian Tertiary Admission Rank (ATAR) of 70, and a scaled mark of at least 50 in English, Literature, or English as an Additional Language or Dialect.
IB - 26
IELTS Academic (International English Language Testing System)
Writing 6.0
Speaking 6.0
Reading 6.0
Listening 6.0
Overall band score 6.0
TOEFL IBT - 68
R 13
L 13
S 18
W 21
展开
IDP—雅思考试联合主办方

雅思考试总分
6.0
了解更多
雅思考试指南
- 雅思总分:6
- 托福网考总分:68
- 托福笔试总分:160
- 其他语言考试:PTE Academic - Overall 50 (with all communicative skills 50)
CRICOS代码: 074653F
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
This double degree enables you to study a major offered by the Faculty of Science and Engineering and a major offered by the Faculty of Humanities. You will graduate with a Bachelor of Science and a Bachelor of Arts, and with the superior communication skills required to inspire and educate people about the latest scientific discoveries.<br><br>You'll learn Apply broad discipline knowledge to a range of theoretical and practical situations through research and practical application in the field of science and humanities. Think creatively and critically to generate innovative solutions to complex scientific social and political problems. Access, evaluate and synthesise relevant information from a range of organisational and external sources. Communicate appropriately and effectively in professional and scientific contexts. Apply technologies appropriately. Demonstrate initiative, responsibility and lifelong learning skills by applying critical reflection and being proactive. Describe global and cultural issues as related to the science and humanities areas and their impact on local and international communities. Demonstrate respect for human rights, cultural diversity and the particular rights of Indigenous Australians. Show leadership and employ ethical practice and professional integrity, both within a team and independently<br><br>Data scientists work at the interface of computing, statistics, visualisation and media to collate and analyse large volumes of data and then communicate findings to a range of audiences. Their ability to leverage big data to predict future trends is becoming an essential part of decision-making in business and government.<br><br>You'll learn Understand the theoretical background to processes for efficient collection, management, secure storage and analysis of large data sets. Formulate hypotheses about data and develop innovative strategies for testing them by implement appropriate algorithms to analyse both large and small datasets. Extract valid and meaningful conclusions from various types of large data sets that can support evidence based decision making. Communicate approaches and solutions to data science problems to a range of audiences in a variety of modes. Identify, select and use appropriate open source and proprietary data management and analysis tools to identify patterns or relationships in large volumes of data
展开