This course is part of the Fintech: Foundations & Applications of Financial Technology Specialization

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Christopher Geczy

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Fintech: Foundations & Applications of Financial Technology SpecializationUniversity of Pennsylvania

About this Course

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In this course, you’ll learn about the emerging technologies in Artificial Intelligence and Machine Learning that are utilized in InsurTech and Real Estate Tech. Professor Chris Geczy of the Wharton School has designed this course to help you navigate the complex world of insurance and real estate tech, and understand how FinTech plays a role in the future of the industry. Through study and analysis of Artificial Intelligence and Machine Learning, you’ll learn how InsurTech is redefining the insurance industry. You’ll also explore classifications of insurtech companies and the size of the InsurTech, Real Estate Tech, and AI markets. You will also explore  FinTech specialties with Warren Pennington from Vanguard. By the end of this course, you’ll be able to identify emerging technologies of AI, Machine Learning, and Financial Technologies from a variety of insurance and real estate tech companies and their impact in the future of finance and investments.

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Shareable Certificate

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Course 4 of 4 in the

Fintech: Foundations & Applications of Financial Technology Specialization

Approx. 3 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 4 of 4 in the

Fintech: Foundations & Applications of Financial Technology Specialization

Approx. 3 hours to complete

English

Instructor

Instructor rating

4.66/5 (68 Ratings)

Christopher Geczy

Adjunct Professor of Finance

Finance

66,535 Learners

5 Courses

Offered by

University of Pennsylvania

Syllabus - What you will learn from this course

Week1

Week 1

1 hour to complete

Module 1: InsurTech

In this module, you’ll identify what key emerging technologies are being leveraged by the insurance industry. You’ll gain a deeper understanding of how artificial intelligence and machine learning technologies are utilized in InsurTech. You’ll discuss the methodology behind InsurTech’s innovations in the industry, from product design to claims management. You’ll also analyze the different ways of segmenting InsurTech firms and explore examples of microinsurance and full-enabled Insurtech firms. By the end of this module, you’ll have a more clearly defined understanding of Insurtech and how emerging technologies are increasing the value of the insurance market.

1 hour to complete

6 videos (Total 56 min), 1 reading, 1 quiz

Week2

Week 2

1 hour to complete

Module 2: Real Estate Tech

In this module, you’ll examine the fundamentals of Real Estate Technology. You’ll closely examine the background, definition, and size of the real estate tech market. You’ll gain a deeper understanding of the disruption that is happening in the real estate market through Real Estate Tech by studying examples such as Zillow and WeWork. You’ll also explore the trends and examples in residential and commercial real estate tech such as Blend, Lending Home, and Cadre. By the end of this module, you will gain a better understanding of the landscape and key financial goals of Real Estate Tech.

1 hour to complete

11 videos (Total 38 min), 1 reading, 1 quiz

11 videos

Industry Background7mWhat is Real Estate Tech?4mSize of the Global Real Estate Tech Market2mReal Estate Tech: Exemplary Companies3mDisruptive Incrementalist2mResidential Real Estate Tech Startups2mTrends in Residential Real Estate Tech4mCommercial Real Estate Sector2mData2mCommercial Real Estate Tech Examples3mConclusion2m

1 reading

Module 2 Lecture Slides10m

1 practice exercise

Module 2 Quiz: Real Estate Tech

Week3

Week 3

1 hour to complete

Module 3: Artificial Intelligence

In this module, you’ll be introduced to the foundations of Artificial Intelligence and its use cases in the Financial Tech industry. You’ll begin by examining the background and market size of AI, and analyze the forecast of top use cases for AI. You’ll learn key use cases for AI in FinTech and discuss examples of AI in Robo-Advising such as Vanguard Personal Advisor Services and Machine Learning in InsurTech Companies such as IBM Watson. By the end of this module, you’ll have a richer understanding of AI, its uses and its impact in the fintech industry.

1 hour to complete

7 videos (Total 35 min), 1 reading, 1 quiz

Week4

Week 4

1 hour to complete

Module 4: Case Studies

This module was designed to provide you with an opportunity to explore successful FinTech organizations around the world and learn how they integrated the benefits of FinTech into their organization. Warren Pennington, Principal in Vanguard’s Investment Management Group, and Andy Rachleff, Co-Founder and Executive Chairman of Wealthfront, are here to provide you with a deeper insight into their organizations. They’ll discuss applications of FinTech and the future of FinTech. By the end of this module, you’ll gain a better understanding of the practical applications of FinTech in a company.

1 hour to complete

2 videos (Total 57 min)

Reviews

4.6

74 reviews

5 stars
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4 stars
19.53%
3 stars
5.88%
2 stars
2.31%
1 star
0.84%

TOP REVIEWS FROM APPLICATION OF AI, INSURTECH, AND REAL ESTATE TECHNOLOGY

by SROct 1, 2020

Thanks and Regards,

Sachin Shekhar R,

AppBootUp.com

by CLMar 2, 2022

The course is very interesting and useful, especially the interviews with experts in the FinTech field.

by MPMay 26, 2022

The course material is dated - it would be good to refresh content more regularly. However, very difficult to keep current as this space changes so rapidly.

by KNJul 9, 2019

Got a good understanding of the latest AI development in the

View all reviews

About the Fintech: Foundations & Applications of Financial Technology Specialization

Wharton's Fintech Specialization is designed to introduce you to the fundamental building blocks of financial technologies and real-world applications through case studies of Wharton-led companies in the field. You'll learn the the essential components of technology-driven financial strategies, from complex regulations to cryptocurrency to portfolio optimization.

You'll also learn how modern investment strategies deploy technology to produce optimal results, explore the disruptive force of changing payment methods, analyze the changing regulatory landscape, and gain a deeper understanding of robo-advising, crowdfunding, peer-to-peer lending, and blockchain. By the end of this Specialization, you'll be able to make informed decisions about deploying financial technologies for yourself or for your business, giving you a competitive advantage in using the latest financial innovations.

Fintech: Foundations & Applications of Financial Technology

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Application of AI, InsurTech, and Real Estate Technology

About this Course