What is an MSc Data Management & AI for Business?
The MSc Data Management & AI for Business trains future experts in data management, artificial intelligence and business analysis. At a time when data processing is becoming a strategic issue for companies, this Master of Science enables students to acquire advanced expertise in data management, marketing analysis, customer segmentation, scoring, database management and decision management. It is aimed at students and professionals wishing to participate in the digital transition of companies in a variety of sectors, including energy, transport, banking, commerce, security and defence. It is RNCP level 7 certified by the Ministry of Employment.
The first year lays the foundations in data, statistics, marketing, strategic analysis and data management, while the second year develops skills in artificial intelligence, predictive analysis, customer knowledge, value chain optimisation and strategic recommendations. Thanks to its professionally-oriented teaching methods, this programme prepares students for strategic positions in the fields of data, AI, analytical marketing and the digital transformation of companies.
Professional certification
Level 7 (EU) “Manager in Data Marketing” professional qualification, NSF code 312, awarded by INSEEC MSc (CEE-RA, CEE-SO, CEFAS, MBA INSTITUTE, CEE-OUEST, CEE-Méditerrannée), registered under number 39591 in the RNCP (Répertoire National des Certifications Professionnelles) by decision of the Director General of France Compétences dated 01/10/2024.
Objectives and skills
The aim of the MSc Data Management & AI for Business is to train experts capable of transforming data into a lever for decision-making, performance and innovation, in order to support companies in their digital transition and optimise their activities.
The programme develops the following skills:
- Design and implement the company’s data-driven marketing strategy;
- Implement data projects in agile mode to support the transformation ;
- Steering the strategy for collecting, cleansing and analysing the company’s data;
- Adding value to data, making recommendations and supporting decision-making.
Courses
The courses presented below are given as examples and may vary depending on the campus. The programme takes account of developments in the banking and insurance sector.
The pace of courses may differ from campus to campus and depending on whether the course is being run under a work placement agreement (initial) or a professionalization/apprenticeship contract (continuing).
The work-study contract must be signed for the entire duration of the MSc 1 + MSc 2 or MSc 2 course.
1ʳᵉ year – Cross-disciplinary and foundation courses
60 ECTS credits
The first year of the MSc Data Management & AI for Business enables students to acquire the fundamentals of data management, statistics, data-driven marketing, database management and performance management, while at the same time developing the cross-disciplinary skills that are essential if they are to progress to positions of responsibility in the data and digital transformation professions.
Strategic direction of the company
- Business English
- Data Storytelling
- Corporate strategy and business plan
- Negotiations
- Professional tools and methods
Data-driven marketing strategy
- Business English
- Decision support systems
- Corporate strategy and business plan
- Business Intelligence & Dashboarding
- Professional tools and methods
Data projects in agile mode
- Data issues and generalities
- Data pipeline & ETL basics
- Data Storytelling
- Data Driven Marketing
- Data project management
- Undertaking a digital transformation
Data management
- Introduction to cloud computing
- TechAway Start with Python
- Data Analytics
- Statistics and marketing data
Adding value to data
- Data law and RGPD
- Web Analytics
- TechAway: Databases and data quality
- Business Game
2ᵉ year
60 ECTS credits
The second year of the MSc Data Management & AI for Business reinforces expertise in data management, artificial intelligence, data analysis, customer knowledge, predictive modelling and decision management, to prepare students for positions of responsibility in data, AI and the digital transformation of companies.
Data-driven marketing strategy
- Data Governance Frameworks
- Private and secure LLM
- Data Strategy & roadmap
- Targeting and data marketing
- IT security and data confidentiality
Data project in agile mode
- Agile methods and innovation
- Finops and customer data platforms
- Data Processing
- Machine Learning Operations
Data management
- TechAway Data Processing and GenAI
- Algorithm and database
- Programming languages
- Web Analytics
- Data Mining
Adding value to data
- Predictive Analytics and data intelligence
- Decision-making statistics
- Scoring and predictive marketing
- TechAway: Datavisualisation and data analysis
- Applied research dissertation
Assessment procedures
The two years of the programme combine the acquisition of theoretical skills with practical work experience, in both initial and sandwich courses.
Course validation
- Validation of 60 ECTS credits per year of training.
- The MSc is obtained by successive validation of the two years, i.e. a total of 120 ECTS credits.
- Certification awarded by capitalisation of all the skill blocks.
- Full validation of each block required with a minimum mark of 10/20 for each skill.
- Partial validation of blocks is not permitted.
Conditions for obtaining certification
- Validation of cross-disciplinary skill blocks common to all courses.
- A minimum period of 132 days in a company during the second year (MSc 2) for initial training students.
Assessment procedures
Throughout the course, your progress is regularly assessed by :
- Continuous assessment and final exams organised face-to-face.
- Individual and/or team case studies.
- Individual and/or group oral presentations.
- Individual and/or group written assignments.
- Professional simulations and work placements.
- An applied research dissertation.
Teaching methods
- Lectures and interactive courses
- Role-playing through group and/or individual case studies carried out by students
- Educational conferences and seminars
Our campuses
Across France

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What are the career prospects after an MSc Data Management & AI for Business?
The MSc Data Management & AI for Business opens up a wide range of opportunities in the fields of data management, data analysis, artificial intelligence and analytical marketing, with prospects for rapid advancement to positions of responsibility.

Application
What are the entry requirements for our MSc Data Management & AI for Business?
Admission to 1st year
- Accessible to students who hold or are in the process of obtaining a Bac+3 diploma (Bachelor’s degree, BUT, professional bachelor’s degree), i.e. 180 ECTS credits, in the fields of data, digital, marketing, statistics, management, IT or related fields.
- The course lasts two years.
- Apply using the online application form.
Admission to 2nd year
- Open to students who have completed or are in the process of completing a degree at Bac+4 level (Master 1, MSc 1, business school diploma), i.e. 240 ECTS credits, with a background in data, digital transformation, analytical marketing, database management, IT or consulting.
- The course lasts one year.
- Apply using the online application form.
Your application
in 5 days
- Submitting your application
- Admission test
- Eligibility results(within 48 hours in working days)
School fees
What are the tuition fees for the MSc Data Management & AI for Business?
Tuition fees for the INSEEC MSc vary from year to year. Several sources of finance are available to help you.
- Initial training – September intake
- Initial training – February/March intake
- 24-Month Appprenticeship Program
- 12-Month Apprenticeship Program
- Entry with a Bachelor's degree (or equivalent)
- 1st year 1 year€11,390
- 2nd year 1 year€13,450
- Diplôme/Certification MSc
Funding support
INSEEC offers several financial support options:
Work-study schedule, internship, or apprenticeship contract
Banking partnerships and their benefits
Professional certification is also available through the Validation of Prior Learning (VAE) process. Learn more.
- Entry with a Bachelor's degree (or equivalent)
- 1st year 1 year€11,390
- 2nd year 1 year€13,450
- Diplôme/Certification MSc
Aides au financement
L’INSEEC propose plusieurs dispositifs d’aides au financement :
Le rythme alterné, en stage ou contrat d’alternance
Les partenariats bancaires et leurs avantages
La certification professionnelle est aussi accessible avec la VAE. En savoir plus.
- Entry with a Bachelor's degree (or equivalent)
- September 2 years€24,250
- February 2 years€24,250
- Diplôme/Certification MSc
- Fourth year undergraduate
- September 1 year€14,050
- February 1 year€14,050
- Diplôme/Certification MSc
Seule la deuxième année de MSc peut se faire en 12 mois
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Our MSc events
Event type
Campus
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MSc
10/06
Open House Days in Marseille
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MSc
10/06
Open House Days Online
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MSc
17/06
Open House Days Online
FAQ
All you need to know about the MSc Data Management & AI for Business
Everything you need to know about the MSc Data Management & AI for Business. Any further questions? Our teams are available to help you and answer any questions you may have!
Let’s meet
Still not sure? Meet our teams to help you make the right choice!
Which languages are used for courses and exams?
The Master of Science Data Management, AI for Business is taught in French on three of our campuses (Bordeaux, Paris and Marseille).
Are there any internship or work-study opportunities during the MSc Data Management, AI for Business?
Yes, work-linked training is at the heart of the MSc Digital, Supply Chain, Purchasing & AI. Students can apply for apprenticeship or professionalisation contracts in the fields of digital supply chain, strategic purchasing, logistics, AI applied to operations and digital transformation, with international companies, industrial players, retail groups or specialist consultancies.
Depending on the campus, a number of different patterns are offered: 3 days at the company / 2 days at the school or 1 week at the school / 3 weeks at the company. This format allows you to finance your studies while developing solid professional experience in supply chain, purchasing and operations management.
To ensure that students have access to the best opportunities, the school offers personalised support, as well as monthly job-dating sessions, enabling them to meet companies and recruiters in the supply chain, purchasing, logistics and operational innovation sectors.
Is INSEEC’s MSc Data Management & AI for Business recognised by the State?
Yes, the Master of Science in Data Management, AI for Business delivers a level 7 RNCP qualification in Data Marketing (number 39591), recognised by France Compétences and the Ministry of Employment.
This professional certification attests to the quality of the teaching offered by the INSEEC Group schools and enhances the employability of graduates in the sectors of digital supply chain, strategic purchasing, logistics, AI applied to operations and performance management. The programme prepares profiles capable of rapidly integrating positions of responsibility in organisations undergoing transformation.
Visit our website to find out more about this recognised qualification, which offers great career opportunities in supply chain, purchasing, digital transformation and operational innovation.
What support services are available for students?
The Corporate Relations and Alumni Department supports students throughout their career in their search for work-study placements and jobs through :
- Monthly job datings with data, digital transformation, AI and transformation consulting companies.
- Coaching workshops on interviews and sales negotiation.
- A Match’Up offers platform.
- And so on.
The school also provides housing assistance services to help students find accommodation close to their campus. At the same time, its network of 120,000 alumni promotes professional integration and offers the opportunity to discover the careers of graduates who today hold positions of responsibility in the fields of digital, data, AI and transformation consulting.
Which partner companies recruit students from this programme?
Graduates are sought by :
- major groups committed to digital transformation, such as Capgemini, Accenture, Sopra Steria, IBM and Orange;
- data and artificial intelligence companies;
- strategy and transformation consultancies;
- players in marketing, customer relations and digital innovation.
Our network of 10,000 partner companies gives students the opportunity to do their work-study placements in data, digital, AI and digital transformation consulting. These companies regularly recruit graduates of the programme for their expertise in data analysis, digital transformation, analytical marketing, customer knowledge and performance management.
At the company forums organised on each campus, you can find out about all the career opportunities in these growth sectors.
How long does an MSc Data Management & AI for Business at INSEEC last?
The duration varies according to the level of admission: two years for holders of Bac +3 who can apply in the first year, and one year for holders of Bac +4 who enter directly into the second year of the Master of Science. The course is taught on four campuses in France (Bordeaux, Paris and Toulouse), offering a geographical itinerary to suit your needs.
The programme provides all the skills needed to become an expert in data management, artificial intelligence and data analysis applied to business. This 5-year postgraduate course offered by INSEEC prepares you effectively for positions of responsibility in data, AI, business analysis and digital transformation.
Does INSEEC MSc support students with disabilities?
INSEEC has made accessibility an integral part of its institutional policy. Each campus has a dedicated disability advisor, responsible for providing individualised support throughout the course.
The infrastructure complies with current accessibility standards. The referral manager oversees the implementation of educational, material and organisational improvements, in conjunction with the school’s departments.
This approach aims to provide each student with a suitable learning environment. The contact details of the student advisor are available on the contact page of your campus.
What are the objectives of the MSc Data Management, AI for Business?
The main aim of the programme is to train professionals capable of leading data management and artificial intelligence projects, analysing and adding value to data to enhance performance, and supporting companies in their digital transformation and business innovation projects. The course provides solid skills in data analysis, database management, statistics, analytical marketing, AI, project management and strategic steering.
The skills acquired will prepare you for a career with responsibilities in the fields of data, artificial intelligence, business analysis and digital. The Master of Science also develops the strategic, analytical and interpersonal skills needed to progress to positions such as data manager, data analyst, data consultant, data project manager or digital transformation consultant.
What are the equivalences and gateways?
Is there an active INSEEC alumni network to help with professional integration?
Yes, INSEEC relies on a network of 120,000 active alumni worldwide, many of whom are graduates working in digital supply chain, purchasing, logistics, AI applied to operations and transformation consulting. This network fosters professional integration, mentoring opportunities and career development in fast-changing sectors.
The Group’s schools also offer continuing education courses to enable former students to update their skills, strengthen their expertise and discover new specialisations in supply chain, purchasing, digital transformation, artificial intelligence and operational management.
Many alumni now hold positions of responsibility in the supply chain, strategic purchasing, logistics performance, operations transformation or the management of complex projects, and regularly share their experience with students. These exchanges help to make the link between the Master of Science courses and the realities of the professional world.
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