MSc in Financial Technology
所属信息
基本信息
项目时长
1年学费估算
340000申请截止日期
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秋季
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常规
2.19
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其他
申请信息
IELTS要求
6.50
工作经验要求
官网没有明确说明
Prerequisite
毕业于认可的大学并获得学士学位，通常是以不低于二等的荣誉成绩；或
从认可的大学的荣誉课程中毕业，并获得学士学位，通常取得不低于 "B "的平均成绩；或
完成高等教育机构的学习课程，并获得相当于荣誉学位的专业或类似资格。
除了研究生院的一般录取要求外，申请人最好还应该具备以下条件
具有良好的数学知识（如微积分、线性代数和概率）和熟练掌握至少一种现代编程语言（如C、C++、Java或Python），如成绩单所示。
在公认的大学获得工程、科学、数学或金融/商业相关学科的学士学位或同等专业资格。graduated from a recognized university and obtained a bachelor's degree, normally with honours not lower than Second Class; or
graduated from an honours programme of a recognized university with a bachelor's degree, normally achieving an average grade of not lower than "B"; or
completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
In addition to the general admissions requirements of the Graduate School, applicants should preferably have
good knowledge of mathematics (such as calculus, linear algebra and probability) and proficiency in at least one modern programming language (such as C, C++, Java or Python) as shown in academic transcript(s);
obtained a Bachelor's degree in Engineering, Science, Mathematics or Finance/Business-related discipline from a recognized university or equivalent professional qualifications.
从认可的大学的荣誉课程中毕业，并获得学士学位，通常取得不低于 "B "的平均成绩；或
完成高等教育机构的学习课程，并获得相当于荣誉学位的专业或类似资格。
除了研究生院的一般录取要求外，申请人最好还应该具备以下条件
具有良好的数学知识（如微积分、线性代数和概率）和熟练掌握至少一种现代编程语言（如C、C++、Java或Python），如成绩单所示。
在公认的大学获得工程、科学、数学或金融/商业相关学科的学士学位或同等专业资格。graduated from a recognized university and obtained a bachelor's degree, normally with honours not lower than Second Class; or
graduated from an honours programme of a recognized university with a bachelor's degree, normally achieving an average grade of not lower than "B"; or
completed a course of study in a tertiary educational institution and obtained professional or similar qualifications equivalent to an honours degree.
In addition to the general admissions requirements of the Graduate School, applicants should preferably have
good knowledge of mathematics (such as calculus, linear algebra and probability) and proficiency in at least one modern programming language (such as C, C++, Java or Python) as shown in academic transcript(s);
obtained a Bachelor's degree in Engineering, Science, Mathematics or Finance/Business-related discipline from a recognized university or equivalent professional qualifications.
适宜学生
完成学业后，金融科技学生将获得网络安全、区块链、数据科学、人工智能等金融和电子商务技术的高级知识，同时保持对金融市场、金融工程、监管政策、合同、技术的知识产权等金融和法律的广泛理解。这些学生将能够在解决这些领域的问题中识别、制定和应用他们所学的知识。
特点
1 - 金融市场和工具 - Financial Markets and Instruments
2 - 高级金融基础设施 - Advanced Financial Infrastructure
3 - 应用区块链和加密货币 - Applied Blockchain and Cryptocurrencies
4 - 计算金融简介 - Introduction to Computational Finance
5 - 深度神经网络的高效计算 - Efficient Computing of Deep Neural Networks
6 - 大数据分析 - Big Data Analytics
7 - 量化和算法交易 - Quantitative and Algorithmic Trading
8 - 金融技术的数据分析 - Data Analytics for Financial Technology
9 - 密码学、信息安全和隐私 - Cryptography, Information Security and Privacy
10 - 大数据系统和信息处理 - Big Data Systems and Information Processing
11 - 网络系统的安全和隐私 - Security & Privacy in Cyber Systems
12 - 数字鉴证学 - Digital Forensics
13 - 强化学习 - Reinforcement Learning
14 - 量化风险管理 - Quantitative Risk Management
15 - 计算金融 - Computational Finance
16 - 会计数据分析和商业智能 - Accounting Data Analytics and Business Intelligence
17 - 大数据技术和应用 - Big Data Technology and Applications
18 - 电子支付系统 - Electronic Payments Systems
19 - 基础知识 衍生品交易策略 - Fundamentals Derivatives Trading Strategies
20 - 互联网金融 - Internet Finance
21 - 金融市场的监管技术要素 - Elements of RegTech for the Financial Market
22 - 金融科技创新的主题 - Topics in Financial Technology Innovations
23 - 金融科技创业 机器人流程自动化（RPA） 信息技术管理 - Financial Technology Entrepreneurship Robotic Process Automation (RPA) Information Technology Management
24 - 金融工程简介 - Introduction to Financial Engineering
25 - 金融技术实习 - Financial Technology Internship
26 - 金融科技项目一 - Financial Technology Project I
27 - 金融技术项目二 - Financial Technology Project Il
2 - 高级金融基础设施 - Advanced Financial Infrastructure
3 - 应用区块链和加密货币 - Applied Blockchain and Cryptocurrencies
4 - 计算金融简介 - Introduction to Computational Finance
5 - 深度神经网络的高效计算 - Efficient Computing of Deep Neural Networks
6 - 大数据分析 - Big Data Analytics
7 - 量化和算法交易 - Quantitative and Algorithmic Trading
8 - 金融技术的数据分析 - Data Analytics for Financial Technology
9 - 密码学、信息安全和隐私 - Cryptography, Information Security and Privacy
10 - 大数据系统和信息处理 - Big Data Systems and Information Processing
11 - 网络系统的安全和隐私 - Security & Privacy in Cyber Systems
12 - 数字鉴证学 - Digital Forensics
13 - 强化学习 - Reinforcement Learning
14 - 量化风险管理 - Quantitative Risk Management
15 - 计算金融 - Computational Finance
16 - 会计数据分析和商业智能 - Accounting Data Analytics and Business Intelligence
17 - 大数据技术和应用 - Big Data Technology and Applications
18 - 电子支付系统 - Electronic Payments Systems
19 - 基础知识 衍生品交易策略 - Fundamentals Derivatives Trading Strategies
20 - 互联网金融 - Internet Finance
21 - 金融市场的监管技术要素 - Elements of RegTech for the Financial Market
22 - 金融科技创新的主题 - Topics in Financial Technology Innovations
23 - 金融科技创业 机器人流程自动化（RPA） 信息技术管理 - Financial Technology Entrepreneurship Robotic Process Automation (RPA) Information Technology Management
24 - 金融工程简介 - Introduction to Financial Engineering
25 - 金融技术实习 - Financial Technology Internship
26 - 金融科技项目一 - Financial Technology Project I
27 - 金融技术项目二 - Financial Technology Project Il
