布里斯托大学金融技术与数据科学专业 项目网站

Financial Technology with Data Science

英国 公立 商科

项目背景

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更新时间:2024-09-20

专业排名51

大学布里斯托大学

开学时间9月

课程学制1年

学费35500.00/GBP

专业介绍

From crowdfunding to cryptocurrencies, and from automated trading to Alipay, recent innovations in financial technologies have revolutionised the way we spend, save, borrow, and invest. Companies in the financial services sector are now able to intelligently harness data to provide tailored products and services; big technology corporations offer financial services to customers through their social media accounts; and disruptive technology start-ups have quickly scaled to challenge the dominance of traditional banks by developing new forms of finance from the ground up. This new MSc offers an opportunity to join the financial technology revolution. Students will learn the key design features of a number of financial technology applications and will develop skills to implement, assess and engineer these technologies. Students will also develop an understanding of the computational, statistical and machine learning principles necessary for insightful large-scale data analysis used in data-driven finance. Hosted by a world-leading engineering faculty, this is a technology-focused MSc and not a finance or accounting programme that is traditionally provided by a business school. Therefore, we expect applicants to have a strong background in computer science, engineering, or a numerate science; a background in economics or finance is not expected or required. This MSc is likely to appeal to applicants looking to start or advance their careers in data-driven finance and technology. The UK is a world leader in financial technology and the Bristol region has a flourishing fintech ecosystem. The programme has been co-designed with industrial partners and will offer opportunities to engage with industry on real-world commercial projects

推荐顾问

世界排名

2020年

51

2019年

51

2018年

51

2017年

51

语言要求

类型
雅思
托福
PTE
Listen
6.5
21
67
Speak
6.5
23
67
Read
6.5
22
67
Write
6.5
22
67
总分
6.5
88
67

学术要求

专业领域:numerate science,计算机科学,或工程类专业。其他专业如会计,天体物理,生物,化学,计量经济,经济,金融,遗传学,地质/地球科学,医学,神经科学,运筹学,物理,心理学等也可个案评估。

课程设置

Mandatory 必修 Large-Scale Data Engineering:大规模数据工程 Introduction to Financial Technology:金融科技导论 Advanced Financial Technology:先进的金融技术 Financial Technology Group Project:金融科技集团项目 Introduction to AI and Data Analytics:人工智能和数据分析简介 Financial Technology Individual Project:金融科技个别项目 Optional 选修 Software Development: Programming and Algorithms:软件开发: 编程和算法 Statistical Computing and Empirical Methods:统计计算和经验方法