Introduction to Finance - Refresher (Mathias Schmit)
The pre-requisite 12h course aims at introducing the prerequisite of the Corporate Finance course: understanding financial statements of a company, P&L : what does it reveal (or not !), uses and pitfalls of financial ratios, introduction to cash-flow statement.
Math & Business Statistics - Refresher (Marjorie Gassner, Vincenzo Verardi)
The pre-requisite 12h course in mathematics and statistics aims to give students the mathematical and statistical tools that may come in handy when dealing with other courses in the program.
The mathematics part will go through the essentials about functions mainly of one, but also of several variables, including the central concept of derivative. The statistical part will concentrate on univariate and bivariate descriptive statistics.
Design Thinking & Entrepreneurship, Benjamin Beeckmas.
The course will introduce the students to the process of developing an entrepreneurial idea – from finding the idea to pitching it to sponsors. It will be based on a set of recent methodologies and tools used in the matter, mainly:
Marketing Bootcamp, Sandra Rothenberger.
Marketing is the core of an operating business. In this course, students examine how the digital age is revolutionizing the world of marketing by shifting the balance of power from firms to consumers, the establishment of a customer-centric approach with a focus on value co-creation.
Financial Management, Mathias Schmit.
This course will mainly deal with project/corporate valuation and capital budgeting decisions. It will not only develop the understanding of the fundamental concepts of finance but will also provide students with the tools to apply the knowledge in practical situations.
Strategy Diagnostic, Bruno Wattenbergh
Coaching and Personal Development, Martine George.
Combination of individual and group coaching sessions on individual development, carrier goals, communication and values.
Project Management, Frederic Hoffman.
The overall philosophy for this course is to provide the students with a structured setting in which they can familiarize themselves with the most important ideas in project management and how it contributes in supporting an organization to achieve its mission and strategic objectives.
The main goal for the course is for the students to learn how to apply these concepts in their own, or in their future job settings.
Strategy Implementation, Arnaud Devleeschauwer.
The course focuses on the development and implementation of concrete business tactics following the determination of an ambitious strategy at corporate or business entity level.
It will allow the students to understand, thanks to concrete examples, how economic notions related to consumer, firm and human behaviour can be translated into real-world settings to optimize the firm’s journey to successful strategy implementation.
Leading & Living Innovation, John Metselaar.
Innovation is so much more than generating creative ideas. The aim of the course is to understand what innovation is and what it’s not, why it needs to play such a pivotal role for companies, and how to go about it.
Students will study what is required today to Lead Innovation - what capabilities need to be put in place and will learn to look at criticality of connecting the innovation strategy seamlessly with the company’s purpose and priorities – and how this field of friction can play out in the board room.
The course develops the students ‘capabilities to conduct critical financial statements analysis and to use them to benchmark financial performance and as a basis for business planning and financial decision making.
The aim of the course is also to develop their understanding of a typical acquisition process and related documents, of a range of financial transactions and of the main valuation methods.
In this course, students examine how Machine Learning models & AI systems can be used or not in various real-world problems.
They will “code” Machine Learning pipelines in Python or R as programming languages and will also use “best-of-breed” open source and commercial ML workbench platforms for such developments.
Participants will gradually study a set of foundational concepts, methods and best practices as well as a set of popular algorithms that will be explained with examples or used properly by the students themselves in exercises.
BUSINESS ANALYTICS - Advanced Data Science, Pierre Deville.
In the first part of the course, the goal is to introduce Natural Language Processing which will allow students to represent and leverage large-scale textual data for different types of applications. From basic textual principles to learning semantical representation, the students will perform a deep-dive into NLP principles and algorithms, with hands-on exercises in Python, real-world textual data and practical applications.
The second part of the course will focus on another type of representation, which are networks.
By the end of the course, students will gain skills in the following areas:
The course will both deepen students’ understanding of strategy core concepts and broaden their knowledge via introduction to new ones.
Sessions will focus to the following themes: