FinTech硕士项目的学术课程将由AIDF、国大计算机学院（NUS Computing）和国大商学院（NUS Business School）联合提供。这个新的金融科技旗舰课程旨在帮助学生在计算和金融领域打下坚实的基础，并提供一系列选修模块，这些选修模块沿着三个方向组织：计算技术，金融数据分析和情报以及数字金融交易和风险管理。

Essential Modules (28MC)

1. FT5001 (2MC) Fintech Innovations for Consumers

2. FT5002 (2MC) Digital Transformation at Financial Institutions

3. FT5003 (2MC) Blockchain Innovations

4. FT5004 (2MC) Programming for Blockchain Applications

5. FT5005 (4MC) Machine Learning for Finance

6. BMF5321 (4MC) Financial Modelling

7. BMF5322D (4MC) Introduction of Finance

8. IT5001 (4MC) Software Development Fundamentals

9. IT5003 (4MC) Data Structures and Algorithms 

Elective Modules (12MC)

Vertical #1. Computing Technologies

1. CS5224 Cloud Computing

2. CS5231 Systems Security

3. CS5321 Network Security

4. CS5331 Web Security

5. CS5421 Database Applications Design and Tuning

6. CS5439 Software Security

7. IS4234 Compliance and Regulation Technology

8. IS5008 Technology Risk and Cyber Resilience

9. IS5009 Topics in Financial Technology Solutions

Vertical #2. Financial Data Analytics and Intelligence

1. CS5242 Neural Networks and Deep Learning

2. CS5246 Text Processing on the Web

3. CS5339 Theory and Algorithms for Machine Learning

4. CS5344 Big-Data Analytics Technology

5. CS5446 AI Planning and Decision Making

6. IS5006 Intelligence Systems Deployment

7. IS5126 Hands-on with Applied Analytics

8. IS5152 Data-Driven Decision Making

Vertical #3. Digital Financial Transactions and Risk Management

1. BMF5333 Options and Fixed Income

2. BMF5342 Technological Disruptions in Finance and Data Analytics

3. BMF5346 Venture Capital and Private Equity

NUS-SoC/GD_MScDFinTech_AnnexA_Feb2021

4. BMF5353 Applied Investment Strategies

5. BMF5355 Financial Institutions, Markets, Systems and Technology

6. BMF5356 Applied Financial Risk Management

7. BT4013 Analytics for Capital Market Trading and Investment

8. BT4016 Risk Analytics for Financial Services

9. CS5233 Simulation and Modelling Techniques

Capstone Project (12MC)

FT5007 FinTech Capstone Project

Official Degree Certificate(s)

Official Transcript(s)

Test Scores:TOEFL or IELTS , GRE (General) or GMAT

Personal Statement 

Referee’s Reports：All applications will require at least one referee’s report.

CV

Passport

Personal Statement ：

Applicants are required to describe succinctly your reasons for applying to the programme, your preparation for the field of study, future career plans, and other aspects of your background and interests that may help in the evaluation of your aptitude and motivation for graduate studies.

Note

该专业于2021年3月1日开放申请，申请截止日期4月15日，首次入学时间为2021年8月。

该专业主要面向计划在金融机构或金融科技公司工作的学生，对口的岗位包括（AI）软件开发人员，数据科学家，金融科技安全专家或金融定量分析师。除了帮助学生在计算和金融领域建立坚实的基础之外，还提供涵盖计算和金融专业知识的选修模块，包括人工智能，区块链和数据分析等金融科技核心知识，还包括计算系统，网络安全，人工智能，数据分析和企业IT等领域。

候选人必须具有相关学科（计算机、STEM、金融、经济学或商业）的学士学位。

国际学生有语言要求，托福90分或雅思6分以上；GRE320分或GMAT650以上。

金融科技、AI或数据分析的工作经验将是有利但不是必需的。由于课程的大部分内容都涉及编程，因此非计算机专业的学生需要提供足够的python编程技能和/或学习过高级定量学科的证据