MBA Finance & Data Performance
- Initial or continuous training
- 13500€
- October 2024
- French
Program description
The Eslsca Paris Business School's MBA2 Finance and Data Performance is a high-level program of excellence that targets profiles with strong quantitative dominance. It is part of digital finance and big data analysis and meets the new requirements of the finance professions (banking, insurance, financial and investment institutions, financial markets, etc.).
The MBA 2 Finance and Data Performance combines solid knowledge in quantitative finance and risk management with skills in data analysis. The objective of the program is to master digital transformation processes both at the level of market infrastructure and the value chains of financial activities. The MBA 2-Finance and Data Performance is distinguished by its selectivity and its quantitative borrowing. The originality of Eslsca’s new program in Finance and Data Performance lies in its ability to create bridges between traditional professions in finance and new professions in data analysis. The program is aimed at financiers who want to move into Data-oriented professions as well as various Data profiles wishing to specialize in finance. The MBA 2-Finance and Data Performance program is built in the interference of three spheres: Finance, Mathematics and Data Science.
Developed skills
- Master the extraction of financial data according to source (API, SQL/NoSQL), for Big Data management
- Master statistical and machine learning tools for financial analysis and modeling
- Propose relevant solutions for the digitization of various players (Banks, Data Providers, Fintech), taking into account financial markets and quantitative tools.
MBA Finance & Data performance 2024/2025 programme
Teaching methods:
Face-to-face: 90% | Online: 10%
Lectures: 60% | Tutorials: 40%
- Actuarial calculation and financial products
- Quantitative portfolio management techniques
- Valuation of assets and derivatives
- Advanced econometrics applied to finance
- Financial risk management
- Bank risk management
- Quantitative risk management
- Extreme risk statistics
- Multiple risk management
- Digital financial market infrastructure
- Blockchain in Finance
- Fintech in Corporate Finance
- Fintech in Capital Markets
- Means of payment and financial regulation
- Cloud Computing (AWS)
- VBA
- SQL databases
- NoSQL databases
- Data Analysis
- Data Visualization (Power BI)
- Big Data & Machine Learning in Finance
- Phyton & data science in quantitative finance
- Quantitative finance under R
- Deep Learning in Finance
- Cryptography and data security
- Pilot the digital transformation of finance professions
- Lead a Big Data project in the field of finance
MBA Objectives
- Manage a Big Data project, taking into account the needs of financial structures
- Produce quantitative financial tools using different programming languages
- Implement market risk management tools
- Set up relevant Dashboards, combining financial intuition and Data visualization
Teaching method
The ESLSCA method is based on three pillars:
- Theoretical academic knowledge Experiential through the application of lessons in the form of business cases, business games but also
- Open Innovation challenges and concrete projects / missions promoting the spirit of innovation and entrepreneurship and collective intelligence
- Validation via internships and work-study programs, sharing in the form of conferences, masterclasses and exchanges with alumni, etc.
In addition, the Eslsca learning method enhances the profile of the "Augmented Manager 4.0"; this must reconcile hard skills, soft skills, digital skills and business skills in order to adapt to the reality of the labor market and ensure maximum employability.
Academic projects
- Preparation for AM certification
- Preparation for Google certifications
- Preparation for Microsoft Power BI certification
- Preparation for and passing the TOEIC
- Hackathons
- The Steering Digital Transformation in Finance project aims to apply a rigorous approach in line with developments in finance, enabling students to produce an article that meets scientific publication standards. The project is carried out throughout the academic year, with a view to individual publication (an article in a peer-reviewed journal) or collective publication (a chapter in a book). The article or chapter must be written in English.
- Big Data applied to Finance: This is an applied end-of-studies project aimed at developing a practical solution to a problem proposed by a bank, company or financial institution, or detected on the financial markets.
Registration is open all year round and closes once the number of students has been reached (places are limited per class).
Registration deadline: October 2, 2024. After these dates, please contact the admissions department at [email protected]
Admissions procedure
- CV
- Questionnaire
- Motivational interview
Prerequisites
- Bac +4 (240 ECTS) in science and technology or management, with a specialization in logistics and/or industrial production.
- Bac +3 (180 ECTS) with significant experience in logistics and/or industrial production (VAP85 procedure)
Diploma Recognition
School Diploma preparing for the "Expert in financial markets and instruments" professional certification, registered with the RNCP on 16/12/2019, under number 34338 for a duration of 5 years and issued by the Ecole supérieure libre des sciences commerciales appliquées".
Career perspectives
Trained students can apply for the following professions following this MBA:
- Finance jobs: Asset Manager, Risk Manager, Trader, Quantitative Analyst, Actuarial, Credit Analyst, etc.
- Data professions: Data Analyst, Data Manger, Data Miner, Business Intelligence Manager etc.
They are eligible for the following sectors of activity:
- Financial markets,
- Bank and insurance,
- Audit firms,
- Research and consulting companies
- Industrial and commercial enterprises
- Accounting firms
Evaluation methods
The study year is divided into two semesters, with the last week reserved for exams.
Grading conforms to the ECTS (European Credit Transfer and Accumulation System) standard promoted by the European Union. The assessment system complies with the 2024-2025 internal study regulations; the average grade for a course or module is used to assess the efforts made by each student, and to help them make the right academic and professional choices.
It includes elements of continuous assessment, the evaluation of various assignments and the grade obtained in semester tests.
Under the direction of the School Director, the school jury meets once a year to decide on the case of each student (passing, repeating, reorientation).
A student validates his or her year with 60 ECTS (i.e. 30 ECTS per semester) and an average of 10/20 per module, bearing in mind that 5 is an eliminatory mark for a course..
In addition, all pedagogical requirements must be met:
- Compulsory 4-month MBA 2 internship with internship report
- MBA 2D final year dissertation
- Personal development (participation in school life)
Any student who fails to obtain an average of 10/20 in a module will be invited to the make-up session to retake the exams defined by the passing jury.
If a block is not validated after the make-up session, the student must repeat the year and does not retain the benefit of potentially validated blocks.
A second School Jury will be held after the catch-up session to decide on the case of each student: conditional passage for 2-year alternating students, repetition, reorientation, exclusion, gap year.
What our students think
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Intissar Wahid MBA Logistics and Supply Chain Management"I chose the ESLSCA because of the richness of the program and the quality of the speakers."
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Romain Dei Tos Financial Markets"The Trading division brought me a market culture and field experience from experts in the sector ..."
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"The school offers real opportunities and prospects for advancement in the professional world."
