Fintech Innovations Specialization from University of Michigan

We have already looked at TOP 100 Coursera Specializations and today we will check out Fintech Innovations Specialization from the University of Michigan.

Coursera Specialization is a series of courses that help you master a skill. To begin, you can enroll in the Specialization directly, or review its courses and choose the one you’d like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. You can either complete just one course or you can pause your learning or end your subscription at any time.

This specialization is intended to familiarize learners with a broad range of financial technologies. While finance has always been at the forefront of technological innovation, the financial industry is changing rapidly in the face of new technology. In the past, at the forefront of innovation in finance were central governments and financial institutions. Today, information technology firms and professionals are leading innovation in the financial industry.

What will you learn

• Explain the difference between legacy payment systems and new innovations in payments.
• Interpret a credit score and identify its determinants.
• Describe blockchain technology and critique its application in various contexts.
• Implement “smart” investing techniques.

There are 4 Courses in this Specialization.

#1.The Future of Payment Technologies

Discover the future of payment technology, from mobile payments to tokenization.

In this course, you will learn new ways of making payments from consumer-to-business (C2B), from consumer-to-consumer (C2C), and from business-to-business (B2B). You will explore current payment system technologies to examine their strengths and weaknesses, and understand the ways technological innovation is changing these traditional systems. You’ll learn about new front-end innovations like digital wallets and mobile payments and also discover back-end innovations like tokenization, mobile money, and new payment infrastructure.

#2.Blockchain and Cryptocurrency Explained

The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.

In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms. We then examine blockchain as an asset and review the dynamics of the cryptocurrency markets. Finally, we examine blockchain as a business solution, with a focus on understanding business cases in which blockchain does and does not make sense.

#3.Raising Capital: Credit Tech, Coin Offerings, and Crowdfunding

Consider the benefits and challenges of disruptive capital-raising technology.

Advances in technology have both systematized and democratized consumers’ and business’ access to capital. In this course, you will explore the ways in which technology has transformed access to consumer credit and access to seed capital for business projects. You will examine disruptive technologies in credit scoring, raising capital through tokenization, and the evolution of crowdfunding for both debt and equity financing. You will also learn how to differentiate between crypto-based capital-raising models.

#4.Innovations in Investment Technology: Artificial Intelligence

Explore the evolution of AI investing and online wealth management.

Investing and managing your wealth online has never been easier, but how does AI investing work and what are the challenges? On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful. Moving from human-based data-driven investing strategies to neural networks, you’ll assess the ability of artificial intelligence to make investment decisions and discover the role of AI and machine learning in making trading decisions.

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