MSc ArtificiaI Intelligence for Business

The MSc Artificial Intelligence for Business helps you understand AI technologies and apply them to organisational challenges. The curriculum brings together programming, data processing and machine learning with key business functions, including strategy, marketing, finance and operations. You develop the skills to identify relevant applications, assess solutions and support their implementation, while considering their ethical and human implications.

Team projects and practical challenges encourage you to connect technical analysis with strategic thinking and strengthen your ability to communicate recommendations. A dissertation and four to six months of professional experience complete your studies.

The MSc Artificial Intelligence for Business programme, awarding the Diplôme d’études supérieures spécialisées en management international (DESSMI), develops the ability to:

• Conduct a functional diagnosis and implement an action plan incorporating international, digital and sustainability dimensions.
• Conduct a scientific study and formulate a recommendation.
• Develop ethical leadership skills to strengthen your managerial approach.

The certification’s skills blocks cannot be acquired separately. The proposed curriculum covers all skills blocks.

NEOMA’s distance learning systems address two essential needs: training managers who can adapt to hybrid working methods and preparing employees to engage in autonomous, lifelong learning.

To achieve this, NEOMA structures its learning approaches around the NEOPEDAGOGIE model. This model keeps in-person teaching at the heart of the student experience (approximately 90%), supplemented by independent, remote learning activities (around 10%).

These remote learning activities take the form of so-called "asynchronous" sessions. Each asynchronous session is designed to represent a workload equivalent to a 3-hour in-person class.

Students typically complete this workload on their computers, though the assigned tasks may also be experiential and/or non-digital in nature.
In this context, professors retain full pedagogical freedom to propose the most suitable content for course continuity and the intended learning objectives. They determine the appropriate assessments and decide when the remote work logically and seamlessly fits into the course schedule.

The distance learning systems thus provide students with the opportunity to engage with diverse types of content, such as:

• Content specifically designed and organised on the Courses platform
• Harvard Business School case studies
• Fieldwork (surveys, interviews)
• Complex projects, completed individually or in groups
• iLearning content (high-end, NEOMA-designed distance learning content in the format of interactive web series)

In addition to these formats integrated into NEOPEDAGOGIE, some professors also use "flipped classroom" approaches, where students are encouraged to review content between in-person sessions to foster discussion and debate during classes.

Assessment Methods

The programme is validated through two forms of assessment:

• continuous assessment: assessments conducted throughout the programme in the form of individual or group assignments to be submitted,
• final assessment: conducted at the end of each course, this may take different forms and is predominantly individual.

At the end of the programme, once the ECTS credits for each year of study have been validated, participants are awarded the Level 7 DESSMI – MSc Artificial Intelligence for Business qualification.

If certain modules have not been validated and the corresponding credits have not been obtained, students may take a resit assessment during the scheduled periods.