MSc, Master of Science Data Science & Business Analysis
BAC +5SANDWICH AND ENGLISH COURSE
Optimize business performance by learning how to control data-driven decision-making processes. At the crossroads of IT, mathematics and business, you will anticipate changing market needs and expectations.
1st and 2nd years in English and initial alternating work experience (3 weeks in the company and 1 week in the classroom).
Program labeled Master of Science (MSc) by the Conférence des Grandes Ecoles.
Objectives
→ Develop knowledge of industry-specific management tools for data processing, analysis and visualization.
→ Put big data and data science to work for businesses in a wide range of fields (marketing, operations management, finance, etc.).
→ To impart management tools specific to the data processing, analysis and visualisation industries.
→ Learn the main languages used in data science.
PROGRAM HIGHLIGHTS M.Sc Data Science & Business Analysis
→ Use of key IT tools for data analysis (SQL, Python, Power BI, etc.).
→ A specialization at the crossroads of IT, mathematics and business.
For which careers ?
→ Business Analyst
→ Data analyst
→ Project manager in data management or artificial intelligence
Master Data Science & Business Analysis
Program 2024-2025
1st year - Semester 1
→ Sustainable Management
→ Entrepreneurial Ecosystem
→ Corporate Finance
→ Project Management & Management System Information
→ Strategic Management
→ Business Cases for Learning: Methodology
→ Career Development Workshops
→ English (LV2 Optionnelle)
→ Soft Skills
1st year - Semester 2
→ R for Data Science
→ Mathematics for Data Sciences
→ Probability and Statistics for Data Science
→ SQL and Databases Exploitation
→ Python for Data Science
→ HTML, CSS and Javascript
→ Badges Electifs LinkedIn Learning
→ English (LV2 Optionnelle)
→ Soft Skills
2nd year - Semester 3
→ Data Analysis and Visualization with Power BI
→ Cloud Computing
→ Applied Machine Learning with Python
→ Big Data Analytics
→ Artificial Intelligence for Cybersecurity
→ Thesis Methodology
→ Business Rhetoric
→ LV2 Optional
→ Soft Skills
2nd year - Semester 4
→ Natural Language Processing
→ Data Engineering
→ Artificial intelligence for Time Series Forecasting
→ Deep Learning
→ Data Analysis and Visualization with Tableau
→ WordPress: Data Science Portfolio Management
→ Career Workshops and Leadership Conferences
→ Soft Skill: Business Game
→ LV2 Optional
→ Cross Cultural Communication
ASSESSMENT METHODS
Students are evaluated in many different ways throughout their course:
→ Exams are specific to the teaching cycle:thereafter, students are evaluated mainly through case studies, role-plays and project presentations.
→ Each placement requires a report to be written demonstrating that the relevant skills have been acquired.
→ In the 5th year, students submit an End of Studies Thesis (EST) and defend it before a jury composed of two professors. The validation of the EST is one of the requirements for the diploma.
More generally, we use the following six levels of cognitive skill to evaluate our students:
→Understand: quizzes, pairing exercises, etc.
→ Recognise / Know: quizzes, pairing exercises, etc.
→Apply: (practical exercises, simulations, etc.)
→Analyse: (problem-solving, case studies, etc.)
→Evaluate: (case studies, reviews, etc.)
→Create: (projects, etc.)
Professors award bonus points for active participation in class or in remote sessions when students contribute to a discussion forum.
BRIDGES, EQUIVALENCES AND CONTINUATION OF THE COURSE
GATEWAYS AND EQUIVALENTS
There are no bridges or equivalencies: any registration in the program requires you to take all the modules.
ONWARD JOURNEY
If you wish to continue your studies after theMSc Data Science & Business Analysis, its possible ! For example, subject to the necessary prerequisites, you can decide to do a PhD or a Master of Science in another specialty of your choice
To find out about all the options available, click here.
Rate of the training
→ September 2024 : Master 1 et 2 : 27 800 € / Master 2 : 17 000 €
Find out about the different financing options.
Registration deadline : according to the terms of the competition or on the first day of the program except for students requiring a visa (8 weeks before school starts).
Chiffres actualisés en 2022
“No sufficiently significant enrollment to publish induction and satisfaction surveys”
Webinaire : Tout savoir sur notre Master of Science (M.SC IN) Ressources Humaines et conduite du changement – 24 avril 2024 à 17h00
Pilotez les transformations d’une entreprise !
Journée de préparation aux épreuves écrites du Concours AMBITIONS+ – Mercredi 17 avril 2024 de 14h à 17h
Le meilleur moyen de réussir le concours sésame, c’est de bien s’y préparer !
Soirée Portes Ouvertes – Mercredi 17 avril de 17h à 20h
Venez nous rencontrer !
WHAT OUR STUDENTS SAY ABOUT US
Testimonials
Victoire Hossard
I started a business while studying at EDC Paris Business School. And in parallel, I integrated the Student Entrepreneur Course. This course is a great accompaniment from A to Z on all our business creation.
Christelle Georget
I chose “IE” for its international aspect. I have just returned from an internship with an Australian start-up. There are so many opportunities and markets to seize abroad !
Margaux Lelux
In the 3rd year, I worked, within the framework of my internship, within the Orange External Communication Department, on two major events: the GQ Night Style in the Marais district, and the Euro football organized in France during the summer of 2016.
Adrian Tabone
All the missions carried out were rich of teaching. At the end of the year, I did my internship “Commercial Force” in a Nicolas shop as a Proxy Manager and I gained a lot of autonomy and rigor.
Mohamed OUMENKHACHE
A renowned school, which offers the opportunity to discover new horizons even those that seem inaccessible to a student, the opportunity of a professional insertion as an apprentice allowing to integrate the strategic top of the hierarchy.
In addition to the academic framework, a rich associative life is part of the customs, perpetuated by each Edecian.