Contactar Esade

FinTech & Big Data in Finance (BBA60017)

General information

Type:

OP

Curs:

2,3

Period:

S semester

ECTS Credits:

2 ECTS

Teaching Staff:

Group Teacher Department Language
Miquel Noguer Alonso Economía, Finanzas y Contabilidad ENG

Prerequisites

Course is self-contained. No prerequisites.

Workload distribution

6 lectures

Course Learning Objectives

Financial technology, also known as fintech, is an economic industry composed of companies that use technology to make financial services more efficient. Financial technology companies are generally startups trying to disintermediate incumbent financial systems and challenge traditional corporations that are less reliant on software.

Financial services, in particular, have widely adopted big data analytics to inform better investment decisions with consistent returns. In conjunction with big data, algorithmic trading uses vast historical data with complex mathematical models to maximize portfolio returns. The continued adoption of big data will inevitably transform the landscape of financial services. However, along with its apparent benefits, significant challenges remain in regards to big data's ability to capture the mounting volume of data.

This course aims to give an insight in the financial technology revolution, and the disruption, innovation and opportunity therein. We will see the global fintech investment space, this course will aggregate diverse industry expertise into a single informative course to provide students with the answers they need to capitalize on this lucrative market. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned.

Contents

1. Introduction to Fintech 2. FinTech - Breaking the financial services value chain and trends

1. Payments
2. Investment Management
3. Deposits and Lending
4. Market Provisioning
5. Capital Raising
6. Insurance

3. Technology : Blockchain, wearables and other emerging technologies

4. Financial modeling and Fintech : Big Data and Artificial Inteligence

5. FinTech Solutions and business cases

6. The future of Fintech and the ten times better rule

Assessment criteria

Course Grading

- Homework : 25%
- Final Exam : 35%
- Big data and Fintech Project : 40%

Bibliography

Recommended : The FINTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries. ISBN: 978-1-119-21887-6

Recommended : Doing Data Science, O'Reilly Media . Print ISBN:978-1-4493-5865-5

Timetable and sections

Group Teacher Department
Miquel Noguer Alonso Economía, Finanzas y Contabilidad

Timetable

From 2018/1/22 to 2018/2/2:
Monday, Wednesday and Friday from 8:00 to 11:00.