国际学生入学条件
Typical offer
ABC with an A in Maths, and if you place us as your Firm choice we will accept you with one grade lower than this, including accepting a B in Maths at A-level (e.g BBC with Maths at B or ABD with Maths at either A or B).
If you are studying an Extended Project Qualification (EPQ) in addition to your A levels and achieve a B in the EPQ we will accept ACC at A level with an A in Mathematics. If you place us as Firm choice we will accept BCC with a B in Mathematics alongside a B in the EPQ.
International Baccalaureate
30 points overall including 6 in Maths at higher level. If you place us as your Firm choice we will accept you with 28 points overall including 5 in Maths at higher level.
Extended Project Qualification
In recognition of the excellent preparation that the Extended Project Qualification (EPQ) provides to students for University study, we can now include achievement in the EPQ as part of a formal offer.
BTEC
Not accepted unless studied alongside A level Maths. The BTEC Extended Diploma cannot be accepted on its own to cover the Maths subject requirement.
English language requirements
IELTS 6.5, with no component below 5.5
TOEFL (IBT) - 88, PTE (Academic) - 69 overall with min. 59 in each component/69 overall with min. 64 in each component
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IDP—雅思考试联合主办方

雅思考试总分
6.5
了解更多
雅思考试指南
- 雅思总分:6.5
- 托福网考总分:88
- 托福笔试总分:160
- 其他语言考试:PTE (Academic) - 69 overall with min. 59 in each component/69 overall with min. 64 in each component.
CRICOS代码: GG17
申请截止日期: 请与IDP顾问联系以获取详细信息。
课程简介
在数学和统计学方面打下扎实的基础,并获得BSc数学和统计学学位课程的学历,并获得宝贵的专业经验。随着在人类生活以及我们周围世界几乎各个方面收集的数据越来越多,统计数据变得越来越重要。统计技能适用于广泛领域,包括商业,气候科学,医学和公务员。此外,您可以通过为期一年的有薪专业职位进一步提高您的就业能力并获得对行业的洞察力。在数学中,您将学习微积分,分析,线性代数和微分方程等领域。在统计中,您将涵盖线性模型,统计计算和概率等主题。第一年后,您将花费大致相等的时间学习每个主题。在第二年中,您还将学习技能模块,该
Join our BSc Mathematics and Statistics with Data Science with Placement Year degree and develop the skills you'll need to become a quantitative scientist.<br>This four-year course includes modules in all three subject areas mathematics, statistics, and data science so you will be able to work confidently in the three disciplines and bridge the gaps between them.<br><br>Vast amounts of data are being collected about almost every aspect of the world. Data science and machine learning are now part of our everyday lives, they are applied to process and interpret this data, perform in-depth analyses with the aim of extracting valuable information, and build artificial intelligence (AI) models.
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