University of Michigan
Financial Technology (Fintech) Innovations Specialization
University of Michigan

Financial Technology (Fintech) Innovations Specialization

Robert Dittmar
Andrew Wu

Instructors: Robert Dittmar

41,068 already enrolled

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4.7

(1,802 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(1,802 reviews)

Beginner level
No prior experience required
1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain the difference between legacy payment systems and new innovations in payments.

  • Describe blockchain technology and critique its application in various contexts.

  • Interpret a credit score and identify its determinants.

  • Implement “smart” investing techniques.

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Taught in English

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Specialization - 4 course series

What you'll learn

  • Explain how current payment systems operate.

  • Describe inefficiencies in current practices in the processing of payments.

  • Relate new technological innovations to current inefficiencies.

  • Build value propositions for new technologies in the payment space.

Skills you'll gain

Category: Transaction Processing
Category: Payment Processing and Collection
Category: Emerging Technologies
Category: Payment Systems
Category: Payment Processing
Category: Digital Assets
Category: Point of Sale
Category: Credit/Debit Card Processing
Category: Value Propositions
Category: FinTech
Category: Mobile Banking

What you'll learn

  • Explain how blockchain works.

  • Articulate the key technical aspects, such as decentralization and consensus algorithms.

  • Describe the strengths and weaknesses of cryptocurrency as an asset and a payment mechanism.

  • Evaluate tradeoffs of blockchain as a business solution.

Skills you'll gain

Category: Algorithms
Category: Emerging Technologies
Category: Blockchain
Category: Technical Analysis
Category: Payment Systems
Category: Digital Assets
Category: Business Solutions
Category: Business Analysis
Category: Cryptography
Category: Market Dynamics
Category: FinTech
Category: Distributed Computing

What you'll learn

  • Estimate a logistic regression.

  • Identify the key ingredients of a credit scoring algorithm.

  • Identify the advantages and disadvantages to crowd-sourced lending.

  • Differentiate crypto-based capital-raising models.

Skills you'll gain

Category: Financial Analysis
Category: Fundraising
Category: Blockchain
Category: Credit Risk
Category: Lending and Underwriting
Category: Fundraising and Crowdsourcing
Category: Consumer Lending
Category: Financial Services
Category: Capital Markets
Category: FinTech
Category: Commercial Lending
Category: Mobile Banking
Category: Banking

What you'll learn

  • Recognize the strengths and weaknesses of human financial advisors and investors.

  • Explain the business model of robo/AI-advisors.

  • Identify the relationship between identifiable firm characteristics and average returns.

  • Build a diversified portfolio based on attitudes toward risk.

Skills you'll gain

Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Financial Trading
Category: Artificial Neural Networks
Category: Financial Market
Category: Predictive Analytics
Category: Asset Management
Category: Investment Management
Category: Portfolio Management
Category: Wealth Management
Category: Big Data
Category: Machine Learning
Category: FinTech
Category: Artificial Intelligence

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Instructors

Robert Dittmar
University of Michigan
1 Course20,148 learners

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