Bachelor of Computer Science in Data Science - Business Intelligence and Data Warehousing

蒙纳士大学马来西亚校区

AU

QS排名:

  • 学历文凭

    Bachelor Degree

  • 专业院系

    信息系统

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

International Baccalaureate Diploma Program (IB Diploma Program) - 28
IELTS (International English Language Testing System – academic test) - Overall score : 6.5 (Listening score: 6.0, Reading score: 6.0, Writing score: 6.0, Speaking score: 6.0)
TOEFL- PBT- 550 or above with (Test of Written English Score: 4.5 or above)
TOEFL IBT - 79 (Listening score: 12, Reading score: 13, Writing score: 21, Speaking score: 18)
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雅思考试总分

6.5

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  • 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:PTE Academic - Overall score: 58 (Listening score: 50, Reading score: 50, Writing score: 50, Speaking score: 50)
CRICOS代码:
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课程简介

This is the era of big data and artificial intelligence. Data science, a distinct but related field to computer science, represents a cutting-edge discipline which applies scientific methods, mathematics, algorithms and artificial intelligence to extract and visualise intelligent insights from huge volumes of complex data.<br>In the fast-progressing world of the Information Age, these insights have the potential to fuel innovation and transform decision making. Data scientists deal with the challenges of big data its interpretation, management and use in fields as diverse as marketing, information systems, engineering, finance, arts, humanities, science and medicine.<br>Monash brings a breadth of expertise to bear on issues relating to big data. If you aspire to solve real-world problems based on the information challenges of big data, then specialising in data science will equip you with the practical skills to excel in your chosen career.<br>The world faces a substantial talent gap in the field of big data analytics and data engineering, so get your foot in the door now.<br>Business intelligence and data warehousing: Explore the impact of automation and technology on data accumulation in businesses. Delve into data warehousing and OLAP technology, uncovering the requirements for efficient reporting, flexible analysis, and hands-on design of data repositories in this captivating journey.
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