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科廷科技大学高级科学学士(荣誉),主修数据科学

Curtin UniversityBachelor of Advanced Science (Honours) Majoring in Data Science

专业简介

Every industry is using the increasing availability of large volumes of data to grow - from predicting weather patterns and optimising harvesting in agriculture, to improving patient diagnosis and treatment in the health industry, to enhancing the management of remote infrastructure in mining. Central to harnessing the power of data to drive innovation is the Data Scientist. This Data Science major is multidisciplinary with fields of study in computing, statistics, emerging internet technologies and media studies. This major is part of the Bachelor of Advanced Science (Honours), a course designed for high performing students to pursue their interest in Science through a core of research, leadership and entrepreneurship. It provides a flexible and personalised approach to studying Data Science with students able to explore the field through for-credit immersive research experiences, industry placement and/or interdisciplinary team-based projects. The major culminates in a capstone experience in which students will have the opportunity to pursue Physics projects that may be based anywhere from pure research right through to translational (entrepreneurial) science. The Bachelor of Advanced Science (Honours) provides opportunities through second and third year to undertake internal and external internships and immersive work experience, sourced by the student, which can be used for course credit. Why study Data Science Major (BAdvSci) (Honours) The majors in Curtin’s Advanced Science (Honours) are unique in Western Australia in their combination of discipline focus, capacity to specialise within that discipline or pursue other interests, and research and work experience within the course. You will have a distinctive set of skills and experience that lay the foundation for a career as a scientist able to work across the range of ‘science’ jobs. Career information Graduates from the major will be equipped to enter a range of industries where data science is key to data-driven innovation. You will have highly transferable skills that enable career flexibility and international employment opportunities.
  • 课程时长: 1-2年或以学校或offer为准
  • 学费: A$35,200.00 (¥ 173,694) /年 以学校或offer为准
  • 开学时间: 每年2或7月
  • 总学分: 0
  • 是否移民专业:访问官网链接

入学要求

为来自中国的学生设计 Students from different countries should have qualifications equivalent to Australian Year 12. English Language Requirements: IELTS (International English Language Testing System) - Listening, Reading, Writing, and Speaking - 6.0; Overall band score 6.5; TOEFL Score: 79 (overall); Reading 13; Listening 13; Speaking 18; Writing 21; Pearson Test of English - Academic (PTE-A) 58; Occupational English Test (OET) Grade B in listening, reading, writing and speaking; Cambridge Certificate of Proficiency in English (CPE) Listening, Reading, Writing, and Speaking 190, Overall score: 176; Cambridge Certificate in Advanced English (CAE) Listening, Reading, Writing, and Speaking 176, Overall score:169. 国际学生入学条件 Applicants with recent secondary education are those whose admission are primarily based on the completion of Year 12 within the last two years, but also include those who may have completed their senior secondary studies with a TAFE or other VET provider within the same time frame. English Language Requirements: IELTS (International English Language Testing System) - Listening, Reading, Writing, and Speaking - 7.0; Overall band score 7.0; TOEFL Score: 79 (overall); Reading 13; Listening 13; Speaking 18; Writing 21; Pearson Test of English - Academic (PTE-A) 58; Occupational English Test (OET) Grade B in listening, reading, writing and speaking; Cambridge Certificate of Proficiency in English (CPE) Listening, Reading, Writing, and Speaking 190, Overall score: 176; Cambridge Certificate in Advanced English (CAE) Listening, Reading, Writing, and Speaking 176, Overall score:169.

如何申请

  • 申请材料要求 高三在读 高中已毕业 大学一、二年级在读
  • 是否需要文书
  • 申请费 100澳币
  • 申请周期 1-2月

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