Fintech Courses in the calendar year 2018-2019
Special Courses in Fintech:
- Introduction to FinTech (1)
- Entrepreneurship in FinTech (4)
- Regulation of Fintech and RegTech (2)
- Current Trends and innovation in InsurTech (2)
- Blockchain and Cryptocurrencies (1)
- FinTech Analytics: Data-driven credit risk analysis (1)
More Courses from the School of Business:
- Introduction to Data Science (3)
- Data Science (3)
- Text Mining for Business Applications (3)
- Technology and Business (2)
- Crowdfunding and alternative markets (2)
- Electronic Commerce and Advertising (3)
- Financing entrepreneurship (2)
- Strategic implementation seminar (4)
- International business strategy (3)
- Business entrepreneurship (3)
Fintech Courses for MBA students
Introduction to FinTech
Instructor: Professor David Gershon
The course introduction to Fintech provides an overview of FinTech in Israel and around the world. The course is given only in the first semester. The course will start with some overview of the development of technology in the financial sector, the technological revolution in banking in the past decade and the introduction of machine learning and big data to financial services. Then all the major areas of FinTech will be reviewed including: electronic and algo trading, risk management and investments, consumer and business payments and money transactions, blockchain and cryptocurrencies, P2P lending, crowd funding, consumer credit, RegTech, InsurTech. In the last part of the course we overview the state of the fintech industry in Israel and in the major FinTech centers around the world.
Entrepreneurship in FinTech
Instructor: Professor David Gershon
Entrepreneurship in FinTech is a “real world” course in creating and managing successful companies in the financial information and technology sector. The course is given over two semesters of one academic year and is composed of frontal lectures and presentations by FinTech entrepreneurs, executives and experts. Semester (A) is focused on how to create and manage companies with focus on aspects that require special attention. Several companies will demonstrate the influence of these aspects on their success. Semester (B) is focused on learning from various companies’ experience.
Trends and Innovation in Insurtech
Instructor: Mrs. Ofira Eliav
The term “InsurTech” can be described as the innovative use of technology in insurance and is a subset of “FinTech”. The business of insurance is transforming, driven by technological advancements and socio-economic trends. Emerging technologies—like big data, the Internet of Things (IoT), mobile technology, artificial intelligence (AI), wearable devices and blockchain—are revolutionizing the insurance industry and changing consumer expectations and preferences.
In this course the students will learn about the insurance value chain—from distribution and marketing, product design, underwriting, claims management and balance sheet management and across all lines of insurance—property and casualty, life and health in the context of opportunities for innovation. The topics of the course will include: distribution models, sharing economy and insurance, Robo-Advice and AI, the role of policy and regulation in InsurTech, new AI innovative models in Actuary and the opportunities for Blockchain technologies in the insurance and reinsurance industry.
Blockchain and Cryptocurrencies: Mini-Course
Instructor: Professor Lipton Alexander
This course provides an introduction to distributed ledger technology, blockchains and cryptocurrencies, and their potential applications in finance and banking.
The course covers the basics of cryptography and its applications to cryptocurrencies; historical examples to centralized cryptocurrencies; foundations of modern decentralized cryptocurrencies; Byzantine fault tolerant consensus; mechanics of Bitcoin platform including storage, mining, wallets, etc.; alternative platforms, including Ethereum; smart contracts; potential applications of decentralized ledgers in finance and their pros and cons.
FinTech Analytics: Data-driven credit risk analysis: Mini-Course
Instructor: Professor Roger M. Stein
Data-driven credit analytics have become increasingly prevalent among both traditional banks and new lending platform companies. However, machine learning and statistical algorithms are only a small part of what is involved in building robust risk analytics. This short seminar focuses on the practical challenges that arise in implementing a variety of data-driven credit models (e.g., bankruptcy and default models retail and commercial entities). With a focus on large data sets, we explore a number of data-driven approaches to modeling the likelihood that credit-risky borrowers will default on their obligations. I will draw heavily on my experiences building and evaluating some of the most widely used and commercially successful data-driven credit evaluation tools in the industry. This seminar will tend heavily towards discussions of practical model implementations and the “frictions” that make these implementations difficult in real-world settings. We pay special attention to validating discrete-choice models in real-world settings. We will not focus as heavily on the structure of credit markets or the details of pricing a broad variety of credit-risky instruments.
Fintech Regulation and Regtech: Mini-Course
Instructor: Professor Daniel M. Schydlowsky
As financial regulators confront new developments in Fintech, they need to keep in mind their core responsibilities, even while they adjust to new market conditions. By the same token, fintech innovators need to understand the motivations of regulators, as they respond to the proposed developments and evaluate them for approval. This course first focusses on the traditional and core responsibilities of the financial regulators, then examines the special challenges arising from Fintech innovations. It finally explores a number of dimensions in which Fintech can contribute to making the regulator´s task easier and more effective.