国际学生入学条件
The minimum entry requirements for the Higher Diploma in Science in Data Analytics are:
A Level 8 primary undergraduate honours degree with a minimum Pass classification from a recognised third level institution in a non-cognate area and ideally be able to demonstrate mathematical problem solving skills as part of previous programme learning. i.e. maths at Leaving Cert level would suffice.
A minimum Level 7 Ordinary Bachelor's degree in a cognate area such as computer science,technology, networking, information systems, engineering, general science, mathematics, statistics, data science.
IELTS score 6.00
Applicants who do not have a Level 8 qualification and who have at least 3 years' work experience may also be considered through the college's normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case - by-case basis through DBS RPL procedures.
IELTS - 6
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雅思考试总分
6.0
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雅思考试指南
- 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:Duolingo English Test 95
CRICOS代码: 000X
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
数据分析科学高级文凭课程将为毕业生提供满足行业需求所需的理论和实践技能。拟议的计划将使学习者能够将作为其原始学位的一部分而开发的可转移技能应用于特定的IT和数据分析领域。当前和预期的技能短缺正在增加对技能组合的需求,这些技能组合将新技术与现有的核心计算技能结合在一起。技术的使用和实施日新月异,因此对特定技术技能的需求也在迅速变化。强大的核心技术教育将为建立当前和未来尖端技术的技能奠定良好的基础。
The Higher Diploma in Science in Data Analytics provides the practical knowledge and skills in the area of computing and data science for learners who wish to upskill or reskill in this area. The programme aims to develop learners' knowledge of the theory and practice of Data Analytics necessary for them to secure employment and perform as graduate level ICT /Data Analytical practitioners in a broad range of commercial, industrial and public sector environments. Learners will benefit from theoretical knowledge fundamental to apply advanced analytics in web and business application, predictive modelling, statistics, programming, machine learning, and advanced visualisation to data sets through a variety of tools and techniques in order to generate actionable insights for stakeholders and support strategic decision making.<br> <br> The objectives of the programme are to:<br>Develop learner's criticality in order to analyse industry trends in Big Data.<br>Develop learners who are capable of performing robust, significant reports on the future orientation of the field of data analytics with specific emphasis on the problem domain.<br>Provide learners with a platform to develop the requisite technical and design skills required by industry and to deepen knowledge of statistical analysis and analytical models.<br>Enable learners to implement scalable Big Data applications.
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