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南昆士兰大学理学硕士(应用数据科学)

University of Southern Queensland (USQ)Master of Science (Applied Data Science)

专业简介

Data Science skills in high demand Strengthen your career with USQ’s Master of Science (Applied Data Science) in the progressive field of Data Science aka ‘Big Data’. Large organizations have always been data-driven. What has changed dramatically is the sheer amount of raw data now generated. Data Science focuses on understanding and overcoming the challenges associated with collecting, analyzing, interpreting and visualizing large amounts of data. Data Science helps organizations extract new insights from raw data; insights which inform the development of new products and new businesses in our increasingly data reliant world. Why study Data Science at USQ? In this unique masters degree, you will be able to incorporate four courses from a chosen discipline and work on a discipline-based research project to complement your big data technology training. The structure is unique, preparing you with application based big data analytical skills, which are highly sought by employers. You will have the opportunity to decide between two different pathways of study in your masters degree: Research track — the Research track equips you with research skills and allows you to develop a research thesis through a project in your chosen disciplinary application area. Professional Studies track — the Professional Studies track allows you to develop your research capability and prepare for a professional career through industry work experience. Further study Upon successful completion of the Master of Science (Applied Data Science), students have the opportunity to move into PhD study. Career outcomes Data scientists are highly sought after, and the data scientist career path is projected to increase further as organizations collect more information, but do not have people with the necessary skills to make sense of it all. This Masters provides an ideal professional development opportunity for qualified graduates who wish to advance in their existing career or begin a new one in the area of Big Data.
  • 课程时长: 1-2年或以学校或offer为准
  • 学费: A$24,780.00 (¥ 122,277) /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 must have Bachelor degree with 1st class/2nd class (2A) honours or a master’s degree with a significant research component or other postgraduate qualifications. English language requirements: IELTS (Academic only) - 6.5 (or better)(no component lower than 6.0); TOEFL (paper based) - 570 (with a minimum Test of Written English score TWE 5); TOEFL (electronic or computer based) - 230 (with an essay rating of at least 5); TOEFL (internet based) - 90 (or better) (with 20 minimum in all bands); Pearson (PTE Academic) - 58 (or better) (with no communicative score less than 58); Cambridge English Scale Scores for FCE, CAE and CPE3 - Cambridge English: Advanced (CAE) or Proficiency (CPE) with a score of 176 or above. No less than 169 in each skill. 国际学生入学条件 Applicants must have completed 3-year bachelor degree or equivalent qualification from an Australian recognized university and knowledge and ethics of computing consistent with CIS1000 Information Systems Concepts. IELTS (Academic only) - 6.5 (or better) (no component lower than 6.0); TOEFL (paper based) - 570 (or better) (with a minimum Test of Written English Score of TWE 5); TOEFL (electronic or computer based) - 230 (or better) (with essay rating of at least 5); TOEFL (internet based) - 90 (or better) (with 20 minimum in all bands); Pearson (PTE Academic) - 58 (or better) (with no communicative score less than 58); Cambridge English Scale Scores for FCE, CAE and CPE3 - Cambridge English: First (FCE) with a score of 176 or above. No less than 169 in each skill.

如何申请

  • 申请材料要求 本科已毕业 大学三、四年级在读
  • 是否需要文书
  • 申请费 100澳币
  • 申请周期 1-2月

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