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BSc (Hons) Data Science

基尔大学

Keele University

UK英国

  • 学历文凭

    学历文凭

    Bachelor Degree with Honours

  • 专业院系

    专业院系

    School of Computing and Mathematics

  • 开学时间

    开学时间

  • 课程时长

    课程时长

  • 课程学费

    课程学费

    汇率提示

国际学生入学条件

A Level: BBB in three A levels including B in Maths.

Access to HE Diploma: 122 UCAS points in an Access to HE Diploma with Maths related content, including Distinction in at least 30 Level 3 credits. Please contact the University Admissions Team for advice on whether your chosen course would qualify.

BTEC Extended Diploma / National Extended Diploma: DDM in any of the following BTEC Extended Diplomas / National Extended Diplomas: Engineering.

BTEC National Diploma / Diploma: Distinction and Merit in any BTEC National Diploma / Diploma and B in Maths A Level.

BTEC National Extended Certificate / Subsidiary Diploma: Merit in any BTEC National Extended Certificate / Subsidiary Diploma and BB in two A Levels including B in Maths.

International Baccalaureate Diploma: 555 in three Higher Levels including 5 in Maths (any), or 30 points including 5 in Higher Level Maths (any).

IELTS Academic and IELTS Indicator: 6.0 with 5.5 in all components.

TOEFL IBT: 79 with 17 (writing), 17 (listening), 18 (reading) and 20 (speaking).

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  • 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:Pearson Academic 59 with 54 in each component

CRICOS代码: G420
申请截止日期: 请与IDP顾问联系以获取详细信息。

课程简介

Data driven systems are now vital to business, government, science and society, and there is an increasing demand for graduates with required practical skills able to implement an ethical and well-organised approach to analysis of real-world data, present its visualisations and explain the associated business implications.Data Science at Keele offers a unique combination of robust mathematical and computational skills, including statistical techniques and extensive application of AI and machine learning, essential for success in the rapidly growing field of Data Science. You will start your degree by exploring the theoretical underpinnings of the data science discipline, providing a solid foundation in mathematics, statistics and programming, along with a strong emphasis on the practical skills of a data analyst.This practical focus will become even more pronounced as you progress through the programme, studying various aspects of AI and machine learning, ethical handling of data, as well as developing presentation, communication and visualisation skills. Building on foundational topics, you will explore current and emerging areas in the field, including data science techniques, probability, artificial intelligence, database systems, applied deep learning and visualisation for data science.Throughout the programme, you’ll engage with real-world scenarios to enhance your learning. An example of this can be found in year two where you will collaborate in groups for an extended time to analyse a business problem, conduct research, create reports, and present your findings to various audiences.Foundation YearOur Foundation Year provides an excellent alternative route to Keele, providing a unique opportunity to better prepare for your chosen degree, and with guaranteed entry onto your undergraduate course once you successfully complete your Foundation Year.Work placementsIn an increasingly competitive job market, employers are seeking to recruit employees who have high-level knowledge, skills and an understanding of the workplace. In between year two and three of your studies, there is the opportunity to undertake a placement, gaining valuable practical experience. This will enable you to apply the skills and theories you have learnt to real situations in the industrial workplace and enhance your employability.Study abroadDuring your studies you will have the opportunity to spend a year or a semester studying abroad. This exciting opportunity enables you to understand your field from different cultural perspectives and to establish international networks. It also shows you have the personal attributes to embrace new experiences which can enhance your employability. We offer exchange opportunities with a wide variety of partner institutions.Your future careerThe ability to gain actionable insight from big data is highly valuable as it enables companies to understand their audience on a granular level and make decisions based on data-driven evidence. From programming in Python, through to large-scale data engineering and working on the latest deep-learning research in applied settings, you will graduate with statistical knowledge and the technical expertise, problem-solving, computational, communication, presentation, visualisation, and teamwork skills employers seek.You will also benefit from a suite of professional development and employability skills. From guest talks by industry professionals and dedicated sessions focusing on careers and placements to understanding the context of professional, economic, social, environmental, moral and ethical considerations involved in data analysis; we will provide you with the knowledge, tools and connections to develop a foundation for your future career.
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关于基尔大学

基尔大学是一所基于校园的大学,其学生课程满意度在英格兰排名并列第一(卫报2019年大学排行榜)。它位于莱姆河畔纽卡斯尔(Newcastle-under-Lyme)的大学城附近,靠近热闹的特伦特河畔斯托克市(Stoke-on-Trent),是学生的热门选择。基尔大学为拥有英国最大的单一校园而骄傲,大学拥有超过2.5平方公里的美丽乡村。基尔大学为学生提供了从基础水平到研究生研究水平的广泛课程选择,学科范围从环境科学到市场营销和媒体。大学拥有很高的就业率,在毕业后的六个月内96%的学生找到工作。基尔大学的学生来自120多个不同国家,构成了该大学的国际学生社区。这些学生努力让所有学生成为全球公民。该大学不仅是TEF金牌机构,目前还拥有200多个俱乐部和社团,大学鼓励学生参与充满活力的校园生活。这所自给自足的大学提供令人印象深刻的设施,包括一个让学生使用学习材料的24/7全天候图书馆,还有各种食品商店、健身房、舞蹈室、运动场和球场。它还为学生提供长期的笔记本电脑贷款,同时大学举办每周一次的农贸市场,并设有几家校园商店、学生会商店、邮局、银行、药房、医生诊所和书店。基尔大学为学生提供出色的残疾学生服务、毕业生服务和国际学生支持。还为所有人提供绝佳的职业建议、财务支持和保密咨询服务。有家人的学生还可以使用专门建造的托儿所。

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