During the 4th semester, Master of Finance, Master in Management and Master in Applied Data Science students complete two electives, giving them the opportunity to expand the depth of their Master programme and gain insights in addition to the primary topics.
Advanced Mergers & Acquisitions
The course will cover the explanation of “Three Dimensional Analysis” and the creation of fully dynamic iterative and circular financial models in Excel, up to the advanced level used in the leading investment banks and private equity firms. Students will create a fully-fledged M&A model in Excel, using real companies as the bidder and target.
Applying Artificial Intelligence in Business
The course gives an overview of how artificial intelligence (AI) as a technology affects business. Some refer to AI as similarly transformative as electricity or the internet. The course is going to walk you through the different business areas and give insights about what technologies can be used to improve business efficiency.
This module provides a concise overview of the most significant types of private equity and alternative investments, and how they affect different portfolio parameters. The course covers the differentiation between ‘classic’ investments vs. ‘alternative’ investments and an introduction to portfolio concepts in general, and their application in modern portfolio management.
Thomas Maier; Leonardo Vieira Severino
This course is for students wishing to explore blockchain technology’s
potential use - by entrepreneurs & incumbents - to change the world of
money, finance and beyond. Kicking off with a review of the technology’s
initial application, the cryptocurrency Bitcoin, students will gain an
understanding of the commercial, technical and public policy
fundamentals of blockchain technology, distributed ledgers and smart
contracts in both an open sourced and a private context.
Design and Management of Hierarchies
The module Design and Management of Hierarchies introduces key principles and methods used for designing effective organisations. It focuses in tradeoffs associated with the design and adaptation of cooperation and coordination in teams, departments, business units, and large corporations. The module builds on economic and behavioural
perspectives and introduces classic as well as contemporary approaches
to organisation design. The module combines case analyses, conceptual
and problem-driven discussions, as well as teaching simulations, in order
to offer a compelling introduction to managerial challenges in
Strategic Business Modelling
This module introduces participants to system dynamics, a powerful framework for identifying, designing, and implementing high-leverage interventions for sustained success in complex businesses. Through intensive, hands-on sessions and interactive games, participants will be exposed to the principles of systems thinking and practical methods for putting them into action.
Numerical Analysis of Dynamical systems
The description for this module will be available soon
Insights into Manufacturing Industry
This module covers industries like Automotive Industry, Steel Industry, Machinery Industry, Electronics Industry, Pharmaceutical Industry, Chemical Industry, Aviation Industry, Food Industry, Apparel Industry, Defense Industry, Oil Industry & Energy Sector, Beverage Industry, Agricultural Industry, Furniture Industry, Tobacco Industry, Cosmetics Industry (subject to change). Hence, profound knowledge about the particularities of the respective industry is important for managers of all disciplines, not only for those with a specialization in manufacturing. However, this course is particularly interesting for students who are interested in the manufacturing industry, want to learn about important business developments, or want to get a deeper understanding of several industries.
This module covers definition of culture and communication (cultural diversity), regulators of human life (religion, nation, class, gender, race,
civilization), cultural dimensions (models of Hofstede, Trompenaars and Hampton-Turner, Hall), barriers to Intercultural Communication (anxiety, assuming similarity, instead of difference, ethnocentrism, stereotypes and prejudice, nonverbal misinterpretations and language), comparative Cultural Patterns (USA, China, Middle East, Russia, etc.) Future challenges, immigration and Acculturation (Europe), cultures Within Cultures: Identity and Subgroups, contact Between Cultures Business Oriented.
Students will analyse M&A transactions in detail and all its aspects, with different structures and deal parameters. They will formulate an approach which is entirely consistent with strategic and financial priorities.
Renewable Energy Finance
This module enables the students to put a project idea / technology into context:environmental, technological, regulatory. Based on this, they learn how to use standard finance tools - notably project finance - to make considered assessments and suggestions about financing approaches that reflect the true specificity of the underlying issues related to renewable energy infrastructure investment.
ESG Investing: People. Power. Profit
This course is designed to complement your quantitative skills in financial
analysis and portfolio management with the conceptual and analytical
insights needed to compete for jobs in what the Financial Times has
called the ESG ‘war for talent’ – the current high demand for those with
the knowledge and skills necessary to integrate environmental, social,
and governance (ESG) factors into investment decision-making.
Andrew William Newton
Quantitative Trading and Analysis with Python
This module covers Python, financial analysis and algorithmic trading. You will first become familiar with the language concepts and methods and the application of these methods to obtain structure and anaylse financial data. You will also design a trading system based on the results of financial analysis using Python as the implementation tool.
Practical Data Science and Artificial Intelligence in Python
In this course, students will apply the theoretical knowledge
of Data Science and Artificial Intelligence acquired in other
courses in practice by implementing programs in the
computer language Python.
In coding sessions with state-of-the-art tools, the most
important topics in Data Science and Artificial Intelligence
are covered. These include data sources, data import, data
wrangling, data analysis, visualization, statistical modelling
and model deployment.
The course covers also topics like Cloud Computing, Mobile
Computing, Edge-Computing and IoT in relation to Data
Science and Artificial Intelligence.
Fintech IE Business School Module in Madrid
During this course, we will focus on some of the changes that are
happening in areas such as payments (with new players like Paypal or
Apple), wealth management (with the introduction of robo-advisors) or
peer-to-peer lending. We will analyze how particular technologies, such
as Blockchain (which initially emerged linked to Bitcoin) or Big Data, are
reshaping the industry. We will also pay attention to two key aspects like
regulation and security, which are essential for any player operating in the
The block week will take place at IE campus in Madrid and will be taught
by IE Faculty.
Subject to change.