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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.

External Lecturer

Simon Hirst

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.

External Lecturer

Gergely Szertics

Alternative Investments

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.

External Lecturers

Thomas Maier; Leonardo Vieira Severino

Bank Controlling & Treasury

The module focuses on case studies and Excel exercises to understand the value management of a bank. The special highlight throughout the course will be guest speakers such as bank specialists on the topics.


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.

Business Engineering: How to design a high performance company

The module is strongly methodology-driven and the main focus lies on the application of PROMET. This methodology, developed at the University of St. Gallen, delivers a procedure to design process-based and customer centered organizations. By using an integrated case study we will conduct a little Business Engineering project within the course week.

Business Modeling Simulation

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.

Entrepreneurship and Business Model Innovation in the 3D Printing Era

The first objective is to introduce students to the disruptive potential of 3D
Printing technology, which has begun to change the nature of products,
the role of consumers, and the business models of entire industries.On successful completion of this module, students will have practiced
many of the necessary skills needed to start entrepreneurial projects and
companies. Specifically, they will have practiced how additive
manufacturing technology (3D printing) can foster entrepreneurial

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.

Intercultural Management

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.

FX Options & Structured Products

Students will learn how to structure hedging solutions for corporate treasury, judge pricing and hedging strategies and implement these in practical situations using spreadsheets/VBA, matlab, or similar.

Mergers & Acquisitions

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.

External Lecturer

Simon Hirst

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.

External Lecturer

Andrew William Newton

Organizational Design

The module Organisational Design 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
organisational design.

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.

IE Fintech 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
financial sector.

The block week will take place at IE campus in Madrid and will be taught
by IE Faculty.

Sustainability and Ethics in Digital Transformation

This module aims to provide a holistic view to the students to
understand the global digital ecosystem in which we are operating
nowadays and give them a perspective to question current structures
as well as the tools to successfully understand and manage the role of
companies as a driver for future innovation for our society in a sustainable
and ethical way.

Subject to change.