The Executive program is co-designed by Ecole Polytechnique and Africa Business School (Mohammed VI Polytechnic University) and delivers a codiploma from both schools.
Working professionals in quantitative positions in banks and insurance companies.
Working professionals with quantitative roles in the industry.
Young academics in Moroccan universities willing to strengthen their knowledge in applied mathematics.
Mohammed VI Polytechnic University, Benguerir Morocco.
Regarding new challenges of the world, there is no doubt that Financial Engineering and Operation Research programs once taught to on the job executives are to be updated. This part-time program aims to teach the latest expertise on both sectors.
ABS pedagogy, evolves around a combination of research, teaching and consulting. In addition to a “classical” teaching curriculum, this program includes several research seminars and expert seminars. This action learning approach is designed to develop participant research acumen as much to give them new perspective on how their own business problematics could be solved within the ABS ecosystem.
Provide appropriate responses to new challenges in modeling and data science to face the volume of data and the strengthening of the regulation of financial markets, and insurance activities regulations.
Support in financial engineering, as well as in modeling and data science in industry.
Encourage innovative and original research in modeling.
Management & Innovation
Acquire fundamentals of quantitative modeling in financial engineering and industrial operations research.
Provide the tools to develop new financial products and to manage financial and model risk.Develop research acumen geared to resolve real world problematics participants are facing within their companies, through research seminars and research projects.
Provide the tools to capture managerial flexibility and strategic value (through supply chain optimization, real options, yield management, etc.
Understand how the evolution of business environment (algorithmic trading, increased competition and complexity of interactions among players, increase of data volumes, etc and regulatory frameworks require more sophisticated tools and develop practical knowledge of these tools through business applications.
1. Foundation modules, 150 h:
Introduction & primers
Probability and statistics
Optimization I and II
Statistical methods and data science for finance I and II
Dynamic stochastic modeling
Model risk management
Dynamic programming and stochastic control
Incentives models and optimal contract theory
2. Track quantitative finance, advanced modules, 45 h
Oligopolistic markets, real options and game theory
Commodities markets and oil & gas fundamentals
3. Track market, advanced courses, 45 h
Efficient monte carlo methods
4. Research seminars
Research seminars are designed as a key active method to build research and provide an environment to explore, share and build knowledge.
Engineering school/ Master’s degree in a quantitative discipline.
Admission on CV (and additional interview on a case-by-case basis).
Fulfill the English language requirement.
CV and cover letter template