- November 5 to December 14, 2018
Executive Master Data Science for Finance
The Postgraduate Program in Data Science for Finance is an highly innovative quantitative orientated one year program geared towards technically-minded graduates wanting a deeper, more analytical study of finance, risk management and financial engineering topics. The Casablanca Edition is in partnership with Paris-Dauphine and Dauphine Casablanca (Paris-Dauphine council approval pending).
The Program is designed to prepare students for successful careers in asset management, financial engineering and risk management in the financial sector (financial markets, financial institutions, regulators and supervisors) using technologies and methodologies of last generation. People interested in having a professional experience and a degree from Universities with a highly quantitative subject such as economics, mathematics, statistics, engineering, computation, science or management pursuing a successful career in finance are the main target of this program.
Classes will be held in Casablanca, Morocco, and start in first quarter 2019, running preferentially on Thursday, Friday and Saturday.
The Program lasts 3 quarters in a total of 300 contact hours and run in after working hours schedule.
The tuition fee is 85 000 MAD (circa € 7850).
For the 2019 intake, the Study Plan consists of 14 course units, that will be taught in French and in English:
- Algorithmic Trading & Market Microstructure
- Financial Derivatives
- Asset Pricing & Portfolio Theory
- Big Data for Finance
- Computational Finance (Python and R)
- Data Mining
- Ethics and Standards in Finance
- Financial Econometrics
- Fintech & InsurTech
- Fixed Income Securities
- Machine Learning in Finance
- Risk Management
- Text Mining
- Tools for managing big data (Hadoop)
To earn the Postgraduate diploma, jointly co-organized by NOVA IMS - Universidade Nova de Lisboa and Université Paris-Dauphine, it is required to complete 300 hours (60 ECTS credits), corresponding to 14 course units.
This Program is geared towards technically-minded graduates, such as: managers and postgraduates students (Master degree level), wanting a deeper, more analytical study of finance, risk management and financial engineering than is found in general finance programs.
It is also for applicants with a first or upper second Class honors degree (or international equivalent) from a recognized university in a highly quantitative subject such as economics, mathematics, statistics, engineering, computation science or management pursuing a successful career in finance are the main target of this course.
Work experience is not essential, but you are strongly recommended to undertake relevant internships and to share your expertise in class.
Graduates of this program are typically employed in investment banking, asset management, hedge funds and investment advisory, risk management, sales and trading, hedge funds, financial engineering, financial technology and consulting/advisory.
- Applications must be filled via the e-candidat application system
- admission based on application file
- selection interviews