【港科大 - 金融科技硕士】求分享课程信息+自行收集分享

Panadol790

楼主昨天收到了港科大的金融科技硕士offer，因为之前目标定的是投资和量化，所以对这个方向不是很了解。学校官网给出的信息也相对有限，如果有学长和学姐看到这个帖子，还劳烦多分享一些细节，尤其是课程内容和assessment。谢谢了！ 楼主自己也会收集尽量多一些信息给到想要了解这个专业和项目的朋友！

Panadol790

【课程分享】FINA 5120 Corporate Finance
  Description: Valuation of cash flow streams (PV of cash flow streams, annuities, and perpetuities); valuation of bonds; valuation of stocks using dividend discount model; capital budgeting decisions (NPV, IRR, payback); capital structure; limits to the use of debt (trade-off models); estimation of cost of debt and equity; WACC; terminal value.

• 1.
  Identify and analyze the objective of the firm.
  
• 2.
  Apply the concept of the time value of money and discounting cash flows to situations when the cash flows and the discount rate is known.
  
• 3.
  Analyze the pros and cons of the common methods used in firms to evaluate and pick investment projects, and explain why the net present value (NPV) rule is the only one that is consistent with maximizing firm value.
  
• 4.
  Define the principles for identifying the cash flows that need to be discounted to calculate the NPV of a project.
  
• 5.
  Calculate the weighted average cost of capital and apply this to a real company.
  
• 6.
  Apply the above tools to cases that involve deciding whether to take a project and to merger decisions.
  
  

Panadol790

【课程分享】FINA 5210 Investment Analysis
An introduction to fundamental concepts in investment analysis. The first part covers risk and return tradeoff, portfolio diversification, and modern portfolio theory including the capital asset pricing model and arbitrage pricing theory. The second part covers basic analytical tools used in analyzing fixed income securities. Topics include interest rates and yield curve mathematics, duration and convexity.

On successful completion of the course, students will be able to:

• 1.
  Apply Utility theory in finance, identifying the risk-return tradeoff, and derive the ‘correct’ price for financial assets using models such as the CAPM.
  
• 2.
  Practically apply CAPM and other models (e.g. Fama-French 3 factor model) in Excel-based applications.
  
• 3.
  Explain efficient markets, behavioural finance, and some trading strategies based on perceived violations of efficient market theory.
  
  

Panadol790

【课程分享】ISOM 5220FinTech Regulation and Compliance
Description
This course provides students with frameworks, concepts, and background to understand the role of regulation, compliance and assurance in FinTech markets from both technology and business perspectives. The course will also examine the perspectives of government officials, investors, managers, and consumers in how they benefit from, guide, and influence the evolution of regulation and associated compliance activities.

Intended Learning Outcomes
On successful completion of the course, students will be able to:
1.Identify major regulatory objectives and implications for FinTech.
2.Assess how technology influences and is influenced by regulation and markets.
3.Describe RegTech and InsurTech ecosystems to understand regulatory transformation and opportunities created by relevant technologies.
4.Examine the risks and challenges associated with technology innovations in the context of FinTech applications.
5.Discuss future directions of FinTech and its implications for their own future.

Panadol790

MFIT 5001    AI for FinTech

Background：Linear Algebra, Multivariable Calculus, Probability and Statistics
DescriptionThis course covers the basic theory of artificial intelligence and machine learning, and their applications to FinTech. Topics include natural language understanding and sentiment analysis using various deep learning architectures. The course also covers basic natural language processing methods for applications such as event and anomaly detection, fraud and fake news detection. The course will also relate sentiment and affect analysis to stock market trading, market monitoring, and to compliance and regulatory-related adverse events.

Intended Learning Outcomes：
1.Describe and explain the basic concepts of Machine Learning and Natural Language Processing (NLP).
2.Implement Machine Learning and NLP algorithm in the FinTech domain.
3.Analyze different financial related problems and their possible solutions.
4.Explain how and when an NLP solution (e.g. Sentiment Analysis) can be used in the FinTech industry.

Panadol790

MFIT 5002 blockchain
Description
This course introduces basic concepts and technologies of blockchain from engineering perspectives, such as Bitcoin architecture, consensus protocol of Bitcoin, proof of work, Ethereum, Hyperledger and smart contracts, as well as the blockchain applications. The course also covers the limitations and possible improvements of the blockchain system.

Intended Learning Outcomes：
1.Explain Bitcoin concepts.
2.Define consensus protocols of Bitcoins.
3.Compose smart contracts on Ethereum.
4.Develop decentralized applications (DAPP).