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
国际学生入学条件
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
IDP—雅思考试联合主办方
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
课程简介
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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