image for course 金融和金融技术硕士(FinTech)
MSc Finance and Financial Technology (FinTech)

金融和金融技术硕士(FinTech)

课程速览

  • 旨在提供对不断变化的金融环境的深刻理解,并为毕业生在金融服务和金融科技领域的职业生涯做好准备。
  • 培养编程技能,并将其付诸实践,解决现实世界的问题。
  • 获得区块链技术、数字货币、大数据和机器学习技术的金融应用方面的前沿知识。
学历等级
硕士
学科领域
金融
授予学位
理学硕士
学习时长
9个月 / 12个月
上课时间
全日制

概况

所有ICMA中心的课程都是由特许金融分析师(CFA认证的课程 

在金融和金融科技硕士课程中,你将专门研究数字银行和支付系统、Python编程和机器学习算法的金融应用。你将深入了解大数据在金融和保险业的应用。你还将学习一些新兴技术,包括区块链和加密货币。通过交易模拟,你将学习证券、期货和期权以及算法交易。 

你还将探索金融科技监管以及数据保护和网络安全带来的挑战。你将有机会完成KNIME一级认证,并发展你对数据驱动创新的开源平台的熟练程度。 

专业课程范例如下:

  • 课程范例 学分
  • In this module, you will learn how banking is transitioning toward digital forms of financial intermediation and how payment systems are evolving with the deployment of new technologies. We will explore the role of banks, central banks and money in the economy, how technology is reshaping the role of banks and how money is becoming decentralised. New business models for banking services and their regulatory implications will be discussed. Examples and case studies will be used to illustrate the key aspects of digital banking.

    10
  • This module focuses on cash securities evaluation (fixed income, equity, and FX) and the use of these securities for investments (derivatives and portfolio theory).

    Part I of the module applies general valuation methods to specific financial instruments: fixed income, equity securities, and FX. It describes the characteristics of each security/market and develops practical strategies for finding its value and assessing its risk.

    Part II of the module provides an in-depth introduction to financial derivatives (futures and options) and their evaluation. Part III of the module analyses the main framework behind portfolio theory and optimum asset allocation, followed by the introduction of the main pricing models, their applications and limitation.

    Equity and FX trading simulations sessions (INVEST sessions) are paired with the modules. Exercises based on Eikon, and Bloomberg data will be used.

    30
  • In this module you will be introduced to Python, a programming language that has become an industry standard and is widely used to produce innovative financial products and services. Common applications include big data analysis and manipulation, algorithmic trading, portfolio analysis, and machine learning algorithms. Students who complete this course will be able to write programming functions in Python, process data files including reading, modifying and writing data to external files. Specifically, students will be able to read and write to Excel, CSV and Text files, connect to databases, obtain and process data from the Web, as well as use Python for Finance and Econometrics applications including developing event based trading strategies and back testing with historical data. By the end of the module students are expected to produce a simple Python application to solve real world financial problems. No prior programming experience is required.

    20
  • In this module you will learn how machine learning techniques borrowed from artificial intelligence can be used to solve common big data problems in finance. We will first explore the issues related to the collection, organisation and visualisation of large sets of structured and unstructured data. With the use of Python we then explore ways in which a computer can be trained to recognise patterns in the data and its popular finance applications.

    20
  • Blockchain technology is rapidly changing the financial industry and beyond. Countless applications are being explored in payments, insurance, lending, fund raising, settlement of securities transactions and contract execution. In this course we will explore what a blockchain is and how you can create one with simple Python codes. Cryptocurrencies, one of the most popular uses of blockchain, are explored in detail. The module will present technical concepts at a high level suitable for students whose main interest is finance and the financial applications of blockchain.

    20

特许金融分析师(CFA)协会 

在学习的同时,你也将有机会准备CFA一级考试。世界领先的金融培训机构之一Fitch Learning每周都会为考试举办重点培训课程。所有的培训费用和CFA考试报名费都包含在该课程的学费中。ICMA中心是CFA认证的大学附属机构,这因为该学位涵盖了至少70%的CFA课程候选人知识体系 Program Candidate Body of Knowledge、CFA协会的道德和专业标准以及其他要求的认可。 

KNIME一级认证

KNIME分析平台是数据科学和机器学习的领先平台之一。金融和金融技术(FinTech)硕士课程的学生有机会获得KNIME的专业认证。一级认证包括基本熟练KNIME分析平台对于ETL、数据分析和可视化的应用 

在春季学期,学生将有机会参加一个介绍性的演讲和为期两天的研讨会,其中包括关于KNIME的讲座和辅导。之后是KNIME 1级认证测试,成功通过后后,认证有效期为2年。 

金融技术将金融和技术结合起来。通过这个课程,你可以考虑在令人兴奋的金融科技初创公司或成熟的银行工作。你还可以在相关机构工作,如咨询公司和监管机构。你也可以专门从事技术方面的工作,提供新软件,处理大数据和机器学习算法。或者,你可以在金融方面工作,通过建立交易并向客户提供基本的金融服务来以赢得业务 

如果你想留在本地工作,伦敦不仅是一个全球金融中心,也是一个全球金融科技中心。它有一个活跃的创业环境和数以百计的中型金融科技公司,以及主要银行和资产管理公司。ICMA中心是金融教育的先驱,以其与金融服务业的紧密联系而闻名。如果你打算在其他地方工作,获得这个硕士资格将给潜在雇主留下深刻印象。 

联系我们

Shu Hampson亨利商学院区域招生经理(中国)
邮箱:s.hampson@henley.ac.uk
电话:+44 (0)118 378 8876
微信:ShuHenley

Josh Jedrzejczyk亨利商学院高级招生官(中国)
邮箱:j.jedrzejczyk@henley.ac.uk
电话:+44 (0)118 378 5815
微信:JoshHenley

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