国际学生入学条件
Highers ABBB (including Mathematics)
A-Levels BBC ABB (including Mathematics at B)
Int. Baccalaureate 28 points (with Mathematics at Higher Level 5)
BTEC DDM (including sufficient Mathematics)
HNC B in graded unit (including sufficient Mathematics)
As our programmes are taught and assessed in English, applicants must be able to prove their level of English language ability as part of the application process. This should be shown through one of the following means - You are from a majority English speaking country or have completed a qualification equivalent to a UK degree from a majority English speaking country as defined by UK Visas & Immigration (UKVI). You have successfully completed a degree from a UK University within the last two academic years where all study has taken place in the UK or at an overseas campus in a non-majority English speaking country as defined by the UKVI, then we will consider this on a case-by-case basis. Our decision will be made on a variety of factors including length of study, level of study, subject relevance, nature of degree and time since completion (no longer than two academic years). You have passed one of the following English Language Tests within the last 2 years at the levels indicated (we will need to verify the results of the test and as such you will need to upload your original certificate as part of the application process). IELTS Academic 6.0 with no score lower than 5.5. TOEFL iBT 79 (including reading 18, listening 17, speaking 20, and writing 21).
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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:79
- 托福笔试总分:160
- 其他语言考试:PTE Academic - 65 (min 59)
CRICOS代码: G450
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
我们的理学士学位计算机科学(数据科学)学位致力于构建健壮且可用的系统。除了研究最先进的工具和技术外,它还旨在帮助您构建其他系统构造人员将使用的下一代软件工具。本课程的目的是在理论基础和实践经验之间取得很好的平衡,并充分利用我们学术人员的研究专业知识。在课程的后期,您可以选择专门研究和发展成为数据科学家所需的技能。具体来说,您将有能力开发和执行基于统计建模的大规模可重复数据分析。术语数据科学经常与大数据或数据分析互换使用。从许多主要在线资源中生成大量复杂的学术,企业和政府数据,它变得越来越重要。如此庞大的数
Our BSc Computer Science (Data Science) degree focuses on constructing robust and useable systems. As well as looking at cutting edge tools and techniques, it's designed to help you build the next generation of software tools that other system constructors will use. The course aims to give a well integrated balance of theoretical underpinnings and practical experience, strongly informed by the research expertise of our academic staff.<br><br>In the later years of the course, you'll have the option to specialise and develop the skills needed to be a data scientist. Specifically, you will have the ability to develop and perform large-scale, repeatable data analyses grounded in statistical modelling. The term data science is often used interchangeably with big data or data analytics. It is becoming increasingly important as huge amounts of complex academic, business and government data are being generated from many largely online sources. This swelling lake of data needs increasing numbers of skilled personnel with the capacity to analyse and make sense of it all. That in turn requires that such personnel be trained in the latest skills and techniques in data science.
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