Master of Science (MSc) in Data Analytics for Business
Bordeaux, France
DURATION
16 up to 36 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 17,400 / per year *
STUDY FORMAT
On-Campus
* tuition above reflects cost for the Master of Science track. Tuition for the pathway course: 9500 EUR
Introduction
This Master of Science programme prepares students to become professionals with the ability to bridge the gap between data specialists and processing techniques and the various business lines. Ultimately, they will be experts in the field of data and the digital transformation of companies.
Highlights
A comprehensive management approach
- Digital business strategy
- Ethical considerations
- Legal aspects
- Soft skills
- Public speaking & leadership
- Team management
- User eXperience, User Interface
- Agile project management
- Design thinking
- Business models
- Use cases in:
- Finance
- Marketing
- Logistics
A global approach to data
- Programming language (Python, SQL)
- Machine learning algorithms
- Data mining
- Data organisation and management
- Data visualisation
- Business intelligence
- Business Analytics
- Information systems management
Experiential learning
- Microsoft
- Digital Aquitaine
- Trustworthy AI Chair
Scholarships and Funding
At KEDGE, We strongly believe that funding concerns should not prevent students from accessing the course of their choice.
We recognize that taking on a degree requires motivation as well as a personal and financial commitment. To help you create your path towards your dream career, the school offers a range of scholarships to ambitious and talented international students.
Who can apply for a Scholarship?
Only non-French students applying to our International BBA, our Specialised MSc, and our Master in Management Grande Ecole Programs are eligible for those scholarships. Exchange students are not eligible for these scholarships.
Early Bird Scholarship
Applications received during the Early Bird Discount period will automatically be granted a 10% discount on the tuition fees. To be eligible, students must submit all of the required documents for their application by 28th February 2019 on join.kedge.edu.
While Early-bird discounts can be cumulated with merit-based scholarships.
Merit Scholarships
Academically gifted students can apply for merit-based scholarships: the Achievement Scholarship or the Academic Excellence Scholarship. To support their applications, the candidates for Merit Scholarships need to provide a motivation statement and proof of their academic achievements.
Both Merit Scholarships are dedicated to exceptionally talented students. Your application will be assessed on two criteria: the grade obtained during your interview with our academic team and the interview and the academic record (GPA, GMAT, GRE, etc.).
To support their applications, students are expected to provide a motivation statement and any proof of academic excellence or extra-curricular achievements.
| Achievement Scholarship | 15% discount on the tuition fees |
| Academic Excellence Scholarship | 20% discount on the tuition fees |
The merit-based scholarships are non-cumulative (i.e. only one merit scholarship can be granted per student) but could be cumulative with the Early Bird Scholarship.
Kristen Hoey Scholarship - ISLI MSc
This scholarship is available for students from the United States of America, who hold a degree from a US university and wish to join the ISLI MSc program. This scholarship is awarded in memory of Kirsten Hoey a talented alumnus of the ISLI program. Each year, a selected number of American students with excellent academic records will receive a 50% discount on their tuition fees. To be eligible, students will be required to submit a motivation letter online which will be submitted to Kirsten HOEY’s family and the MSc program Director.
The Kristen Hoey Scholarship cannot be combined with any other scholarships.
Program Outcome
Key Skills
Technical knowledge of artificial intelligence and machine learning
While not necessarily becoming experts in these fields, it is essential that graduates are able to understand the main principles and logic underlying the activities of data scientists:
- Understanding what data is, what the main sources are and what forms it can take.
- Mastery of the basic concepts around the most popular algorithms.
- Understanding of what can be done with these tools.
- Master the techniques for evaluating the quality of algorithms and identifying potential sources of problems.
Mastering The Management Techniques Associated With This Mediation Role In The Specific Context Of Artificial Intelligence
- Learning the techniques of agile project management
- Understanding of the strategic and organisational issues associated with the introduction of artificial intelligence tools into the company's processes.
- Understanding of the ethical issues associated with the use of these techniques.