数据分析理学硕士
MSc in Data Analytics
  • 学历文凭

    Masters Degree (Taught)

  • 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

A minimum of a level 8 (honours degree) qualification (2.2 or higher) on the National Qualifications Framework. Applicants may be from a cognate/STEM background. Standard applicants for the programme are those holders of computing or numerate degrees.

All applicants for the programme must provide evidence that they have prior programming experience (e.g. via academic transcripts or recognised certification).

For candidates who do not have a level 8 qualification, the college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic entry requirements, may be considered based on relevant work or other experience.

Non-English speaking applicants must demonstrate fluency in the English language as demonstrated by an IELTS academic score of at least 6.0 or equivalent.

TOEFL Internet Based - 60
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雅思考试总分

6.0

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  • 雅思总分:6
  • 托福网考总分:60
  • 托福笔试总分:160
  • 其他语言考试:PTE Academic - 50
CRICOS代码:
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课程简介

该计算机课程旨在产生高质量
This computing course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of data analytics.<br><br>Upon completion of this course, graduates will be able to:<br><br>Conduct independent research and analysis in the field of data analytics.<br>Formulate and implement a novel research idea using the latest industry practices.<br>Demonstrate expert knowledge of data analysis, statistics, and the tools, techniques and technologies of data analytics utilised in both technical and business contexts.<br>Critically assess and evaluate business and technical strategies for data analytics.<br>Develop and implement effective business and technical solutions for data analytics.<br>Critically appreciate ethical and data governance issues relevant to data analytics<br><br>The course structure accommodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused.<br><br>All students will also gain exposure to pertinent legal issues and product commercialisation considerations associated with the data analytics field. The course will be delivered using academic research, industry-defined practical problems, and case studies. This approach will naturally foster a deeper knowledge of the subject area and create transferable skills for work such as critical thinking, problem-solving, creative thinking, communication, teamwork, and research skills. The course is completely delivered by faculty and industry practitioners with proven expertise in data analytics.<br><br>Duration - 1 year
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    奖学金

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    实习机会

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    在校学习

  • 跨境学习

    跨境学习

  • 校园授课-线上开始

    校园授课-线上开始

  • 在线/远程学习

    在线/远程学习

关于爱尔兰国家学院

爱尔兰国家学院(NCI)成立于1951年,从最初位于拉内拉赫街区桑福德街道的小校舍变成如今坐落于都柏林市国际金融服务中心(IFSC)、充满生机的市区校园,短短几十年学校经历了飞速的发展。IFSC&nbsp; &nbsp;是爱尔兰的金融中心,众多银行以及跨国企业的总部都位于此处。&nbsp; &nbsp; 在爱尔兰国家学院,学生可以享受轻松开放的学习氛围。学院的教学方式是将理论学习与行业实践及社区实习相结合,培养现实社会中所需要的技能型人才。&nbsp; 学校的办学宗旨就是“让教育改变生活、培养人才,促进事业发展、提供新的机会!

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