BSc (Hons) Data Analytics and Actuarial Science

伦敦大学城市学院

UK

QS排名:352

  • 学历文凭

    Bachelor Degree with Honours

  • 专业院系

    信息系统

  • 开学时间

  • 课程时长

  • 课程学费

    汇率提示

国际学生入学条件

A Level: A (Maths) AA
We accept all foreign language A Level subjects, and such subjects are considered for entry even if it is the applicant's native language.
If you are studying General Studies or Critical Thinking these subjects will not be included in any offer condition.
For A-Level applicants we also require a minimum of grade 4 (C) in GCSE English Language.
BTEC: DDD
Plus A Level Maths grade A and GCSE English grade 4 (C)
OCR Cambridge Technical Level 3 Extended Diploma: DDD

IB: 35 points overall with HL 6 in Mathematics HL4/SL 5 English. Please note that we are happy to accept both Maths Analysis & Approaches and Maths Applications & Interpretations.

Access to Higher Education: Pass the course with 45 level 3 credits including minimum 30 distinction credits and the remaining 15 credits at merit or above, plus A-Level Maths A.

English Language Tests:

IELTS (Academic, UKVI or IELTS Indicator): 6.5 overall with no less than 6.0 in any sub test.
Language Cert International ESOL: Language Cert B2 Communicator High Pass
TOEFL (Test centre or iBT Special Home Edition): 92 overall (24 Writing, 23 Reading, 22 Speaking, 21 Listening)

Cambridge English Advanced (also known as Certificate in Advanced English): Grade C (180 overall) at CEFR Level C1 with minimum 170 in each sub test
Cambridge English Proficiency (also known as Certificate of Proficiency in English): Pass qualification (all grades accepted)

English Language Qualifications:

IGCSE: English as a First Language (Syllabus 0500 & 0522) or English as Second Language (Syllabus 0510 & 0511) at Grade B or above
International Baccalaureate: Grade 5 at Standard level or Grade 4 at Higher level
Trinity College (Integrated Skills): ISE III pass in each area
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IDP—雅思考试联合主办方

雅思考试总分

6.5

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  • 雅思总分:6.5
  • 托福网考总分:92
  • 托福笔试总分:160
  • 其他语言考试:Pearson Test of English (PTE) Academic: 59 overall with minimum of 59 in each sub test
CRICOS代码:G3G1
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课程简介

Traditionally, actuaries have used data to solve problems in the financial risk area. However, the world of finance is being transformed by two major trends the increase in the volume and types of data, and the focus on risk management. This means some problems are now best solved using different data analysis techniques.<br>This course prepares you for these new challenges. You will explore the traditional actuarial approach to risk management but youll also learn about some of the newest areas of data science, including artificial intelligence and machine learning, and their practical application to finance and insurance. As well as developing your understanding of mathematics, probability, statistics, economics and IT, youll look into probability modelling, data analysis and the financial markets. Youll be able to demonstrate your skills and your ability to communicate your findings in your final year project.<br>This degree prepares you for a career in data analytics, risk management, actuarial science or financial analysis. Youll also have data science analysis and communication skills invaluable for a career in general management
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    奖学金

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    实习机会

  • 在校学习

    在校学习

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  • 校园授课-线上开始

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  • 在线/远程学习

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学校排名

世界排名

351

数据源:泰晤士高等教育世界大学排名

关于伦敦大学城市学院

位于伦敦中心的伦敦大学城市学院是领先的全球性大学,吸引了来自160多个国家/地区的约20000名学生和来自75多个国家/地区的学术人员。伦敦大学城市学院成立于1894年,2016年成为声望卓著的伦敦大学的一员。该大学致力于追求卓越的学术,并专注于商业和专业领域。125多年以来,伦敦大学城市学院一直通过教育、研究和企业来改变其学生、社区和世界的生活。该大学通过其五个专业学院提供一系列的本科和研究生(授课型和研究型)学位:伦敦大学城市学院的学生满意度在伦敦地区排名第3名(《2020年完全大学指南》),在毕业生起薪方面在英​​国排名第11名(2019年《泰晤士报》和《星期日泰晤士报》优秀大学指南)。

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