Online Executive MBA in Managament and Data Science
- Online
- 16000€
- April 2024
- French
Executive MBA Description
The 100% Online Executive MBA in Management and Data Science offers support in the development of data science projects for managers, with no technical prerequisites.
The Executive MBA Management and Data Science is tailored for:
- working professionals or those in transition who wish to acquire the cross-disciplinary skills needed to manage data science projects; Data Science project managers (MOA);
- Managers in large companies who will be required to create and manage Data Science transformation programs, or teams of data scientists;
- practicing managers, in functional or cross-functional positions, unit managers, consultants, auditors, business unit managers and also managers of SMEs and VSEs wishing to change direction in the data science field.
Three diplomas awarded
Graduates are awarded :
- the Master's degree in Business Management and Administration awarded by the University of Paris 1 Panthéon-Sorbonne;
- the MBA awarded by IAE Paris-Sorbonne;
- the MBA in Business and data Science from ESLSCA Business School Paris;
Why choose the Executive MBA in Management and Data Science?
• A recognised diploma
Our Executive MBA Management and Data Science students will be granted a Master's degree in Management and Business Administration from the University of Paris 1 Panthéon-Sorbonne - a national diploma accredited and recognised by the French State, registered in the RNCP (Répertoire national des certifications professionnelles), an MBA from IAE Paris-Sorbonne, and a Business and data Science diploma awarded by ESLSCA Business School Paris.
• Flexible schedule, compatible with your professional activity
The online courses are delivered on a part-time basis, in the evening, and over 12 months, so that you can combine the course with your professional activity at your pace.
• Knowledge based on research into current management issues
The main objective is to train professionals capable of meeting the future challenges, thanks to the expertise of our teacher-researchers in the IAE Paris Sorbonne research laboratory.
• Small group sizes to facilitate skills development, interactivity and teamwork
Every year there are around thirty students who benefit from classes and exchanges in small groups (4-5 students), and an online sharing platform for exchanging teaching documents and assignments.
• Teaching combining academic and professional expertise
At IAE Paris-Sorbonne, the teaching staff comprises of top-level academics and experienced professionals who are recognised experts in their fields. In addition to the Executive MBA Management and Data Sience courses, the IAE Paris-Sorbonne's professional clubs regularly gather students and graduates regularly from all over the world for conferences on various subjects to identify the latest trends in data science and auditing.
• An active network of over 38,000 graduates to help you develop your career
The IAE Paris-Alumni association organises more than 150 events a year and runs around twenty professional clubs to encourage networking.
Skills developed
- Managerial: integrating digital into internal processes, managing and understanding the evolution of data science and the different aspects of modern business strategies (massive data bases, massive data collection, massive analysis)
- Technical: learning the no-code aspect of data science (understanding, being able to use no-code tools)
- Scientific: analysing data using statistical and IT tools
Executive MBA 2024/2025 program
- Foundations of information systems;
- The new strategic uses of data and associated technologies (Cloud, AI, IoT, Blockchain, etc);
- Digital strategy and transformation;
- Introduction to development logic (describing, structuring, exchanging and displaying data)..
- From business model to strategic choices: the quest for performance in today's world;
- Lean & 6 Sigma;
- Lean startup;
- Design Thinking and open innovation;
- Managing innovative projects;
- The role of data and the digitalisation of start-ups.
- Optimising performance by managing risks and legal instruments;
- Competition, corporate governance and regulation;
- CSR;
- Data protection and compliance.
- Master the basics of programming with Python ;
- Use cases involving the processing, visualisation and modelling of financial data.
- Reading the financial statements;
- Measuring and steering performance;
- Financial analysis and diagnosis;
- Case studies developing the digital aspect of each subject: for example, dematerialisation, auditing and analysis of accounting data, blockchain in finance, means of payment, fintech and financial regulation, etc.
- Understanding the big data ecosystem;
- Learn about NoSQL databases;
- Carrying out a multidimensional analysis in the context of big data.
- People at the heart of management;
- Operational marketing at the service of marketing performance;
- Case studies developing the digital aspect of each subject: for example, the transformation of work and social innovation, the digital workplace, digital marketing and its tools.
- Comprendre le machine learning ;
- Mettre en œuvre des algorithmes sur un jeu de données ;
- Appliquer les modèles hiérarchiques du Deep Learning à un cas professionnel.
- Ethical and security issues related to massive data collection;
- Theory and practice of massive data collection and analysis;
- Scraping project using a crawler.
- Introduction to R;
- Fundamentals of data analysis;
- Bivariate statistics and construction of indicators;
- Statistical tests and regression techniques.
- Unsupervised exploratory analysis;
- Cluster analysis;
- Text mining;
- Project.
- Dissertation methodology ;
- Supervised project;
- Project defence (in English or French).
The dissertation may be written in English or French, but must include a detailed summary in English.
The course ends with the writing of a dissertation, consisting of a project using the techniques studied in class. This will be defended orally before a jury of academics and professionals.
Executive MBA objectives
The aim of the Executive MBA in Management and Data Science is twofold: to acquire a generalist education in management while specialising in data science.
The course therefore aims to :
- Obtain a dual curriculum to facilitate access to positions requiring a global vision of the company and its organisation;
- Acquire technical skillls in data science and information systems for students;
- Validate functional skills in information systems in order to master the tools and techniques used to collect, analyse and visualise data on a massive scale.
Teaching method
ESLSCA focuses its methodology on the development of skills and knowledge. We promote flexible and immediate communication, focusing on effective discussion, encouraging teamwork and facilitating interaction between all participants: students, teachers and professionals.
The shared learning experience
One of the keys to training at ESLSCA is the value of shared learning, in which participants and students are the central focus. On our Bloackboard virtual campus, you can access all the teaching material, and chat with the professors while interacting with people from different sectors. When faced with the same case, the diversity of approaches, abilities and experiences gives you a broader perspective.
Practical and active participation
Our methodology is based on a combination of practical and theoretical learning, requiring the active participation of students with their opinions and different points of view. Using reference documents, case studies and simulations that we provide generate a rich learning experience, connected to everyday reality.
The experience of studying at ESLSCA Business School
Our students' relationship with ESLSCA is based on a large network of professionals, experts, teachers, business people and entrepreneurs who define themselves as active, participative and open to questions and answers.
The rhythm
Timetable: 290 hours
Duration: Over 12 months, from January to January of the following year, two evenings per week, with optional lunchtime sessions (to enable students that live in different time zones to exchange ideas and experiences).
A typical teachhing Unit Structure:
- Production of teaching content in a studio by professionals, available for viewing 24 hours a day;
- Interactive teaching;
- Exercises and case studies assigned to small groups (3 to 5 people);
- Reading - Available Media to consult for further reading;
- Defense of the research project in front of a professional jury.
Assessment methods:
Graduation requirements:
- Continuous assessment through MCQs;
- Online exams at the end of each course;
- Group projects and case studies;
- Online presentation of the final research project;
- Attendance.
Prerequisites
- have at least 36 months' professional experience (not including internship or work-study contracts)
- Bac +4 (i.e. 240 ECTS or equivalent) or, if you do not have the required level of education, you should have a Validation des Acquis Professionnels (VAP). Note that foreign students are required to provide an official translation of the diploma(s) justifying the requested minimul level.
Admission procedure
1. Pre-selection on the basis of a dossier including :
- CV
- Application
2. Admission interview
Admission requirements
Applications will be open starting from autumn 2023 and will close upon reaching the maximum capacity of students, as places are limited.
Application deadlines: 15/03/2024, 15/06/2024, 15/09/2024, 15/12/2024
Career prospects
On completion of the course, graduates will have acquired the skills needed to work as:
- Chief Information Officer;
- Chief Technical Officer;
- Chief Data Officer, Data science team manager;
- Director of data science programmes or projects;
- Data science consultant;
- Data auditor.
Equivalences and continuing your studies
Bridges and equivalences
There are no course equivalences; enrollment in the program requires completion of all modules
Continuing your studies
It is entirely possible to continue your studies after the Executive MBA Management and Data Science, such as another specialised Executive MBA, provided you have the necessary prerequisites.
What our students think
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