国际学生入学条件
Global Assessment Certificate (GAC) Level 3 - Successful completion of Global Assessment Certificate with a GPA of 2.3.
International Baccalaureate Certificate (IB) - International Baccalaureate Diploma with a minimum score of 24.
Successful completion of Cambridge International or Edexcel GCE A Level examination with a score of 6 from 3 Advanced Level core subjects only.
IELTS - 6.5 overall score, minimum 6.0 in each subtest.
TOEFL IBT - Total score 82, Writing 21, Speaking 18, Reading 13, Listening 13
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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:82
- 托福笔试总分:160
- 其他语言考试:Pearson Test of English Academic (PTE) - 58 overall, No communication skills less than 50.
CRICOS代码: 079492M
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 course requires successful completion of 240 credit points which includes sixteen core units and eight elective units. Students can use the eight elective units to complete a specific major, such as Big Data, Mobile Computing or Networking or, students can choose elective units from any discipline available at Sydney City Campus.<br>Information Systems are becoming integral to modern culture and are a primary engine behind much of the world's economic and social change. Today, to implement technology, practising professionals need to understand the context in which computer technology can best be selected, applied and implemented.<br>At Sydney City Campus, you can complete your three year bachelor's degree in as little as two years and enter the workforce sooner. A bachelor's degree usually consists of 24 units. With our flexible academic calendar, you can study 12 units in one year over three sessions. However, we recommend that you undertake a maximum of 3 units per session so that your study load is not too demanding. You will have less downtime between sessions so a lighter study load will help you to have a better chance at passing all of your units.<br>This major covers theories and technologies of big data with applications to information systems. You will possess and apply the technical skills for managing large volumes and varieties of data in the information systems context.
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