dropping out and loss of motivation, or even abandoning studies

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You joined a Master's or MBA a few months ago but it doesn't meet your expectations? Don't wait until next year and don't waste a whole year reorienting yourself! ESLSCA allows you to join a Finance MBA with a staggered intake and benefit from accelerated and intensive training . Explanations.

Quickly reorient yourself ig database thanks to the staggered return to school
Every year, a good number of students realize as soon as the September term begins that the path they have taken and/or the teaching provided does not suit them and they wrongly think that they will have to wait until the following academic year to change direction. A risky situation with many consequences:

full year lost,
To offer these profiles a quick and effective alternative, ESLSCA is offering you a staggered start to the school year .

How does it work? It's very simple.
The staggered start allows you to start a new course during the year by following an accelerated training course in 6 months instead of the traditional 12 months.

At ESLSCA Business School, we have developed the MBA Finance Fast Track . A course that prepares tomorrow's managers for new professions in companies and financial institutions while meeting the expectations of a sector in perpetual change and transformation.

Intensive training in finance at ESLSCA
From January, students with a minimum of a Bac+3 level can join our accelerated training in the 1st year of the MBA Finance Fast Track.

A 2-week refresher course is planned to allow students to refresh their knowledge of mathematics, economics and accounting in order to follow the MBA Finance.

For 6 months, students follow intensive teaching in small groups and benefit from progressive validation of acquired skills thanks to numerous case studies or role-playing exercises.

At the end of these months of Fast Track training , they are ready to move directly into the 2nd year of MBA Finance and can then specialize in one of the 5 branches offered.

Financial engineering ,
Trading ,
Finance Data Science,
Wealth management ,