MSc in Business Analytics

Next intake : 2026

The MSc in Business Analytics, which grants a master’s degree, equips you with key skills in data, AI, sustainable management and finance. Preparing you to lead responsibly in a rapidly changing world.

Duration : 1 or 2 years

Degree: Bac +5 qualification, equivalent to a master's degree

Full time

English

Acquire the skills and knowledge to navigate the complexities of AI implementation and management within organisational settings

This MSc equips students with expertise in econometrics, AI management, data science, robotics, entrepreneurship, and digital transformation, combining analytical rigour with practical skills for sustainable business innovation.

Why choose the AI Management track?

1

Unique combination of technical (data-driven) and soft skills to thrive in a world of AI.

2

The programme is among the few in Europe to place AI at the core of the curriculum, meaning that you will master this technology across all business sectors.

3

Hands-on activities in all courses so you can practice AI in real contexts.

4

Learning expedition in top AI events and workshopabroad.

Programme Duration and Structure

You can complete the MSc in Business Analytics in either one or two years, depending on your academic background.

  • One year: if you hold 240 ECTS credits, or a three‑year bachelor’s degree plus at least three years of relevant professional experience.
  • Two years: if you hold 180 ECTS credits.

If you have sufficient prior credits, you follow the accelerated one‑year route.
Otherwise, you undertake the full two‑year cycle to consolidate your academic foundations and broaden your expertise.

Year 1: Building Core Competencies

Semester 1: Advanced Management Skills

In your first semester, you develop Advanced Management Skills. You strengthen essential capabilities required of decision‑makers across all professions: leadership, strategic insight, information systems, budgetary control, and a comprehensive understanding of Corporate Social Responsibility (CSR) and ethics. These foundations equip you to launch your career successfully.

Semester 2: choice of a pre‑specialisation track

In your second semester, you refine your academic direction and select a pre‑specialisation track that aligns with your career ambitions. You choose from:

  • Finance
  • Marketing
  • Management & Strategy

Year 2: Specialisation

The 2nd year programme comprises 361 hours of on-site teaching, delivered over two semesters in Paris.

Our teaching approach emphasises practical and hands-on learning. Throughout the programme, you will work with real-world examples, enabling you to develop your skills through practical experience in AI applications.

Core modules

  • AI and machine learning
  • Technology and innovation management
  • Law and Ethics in AI and data management
  • Sustainability and Global Challenges
  • Introduction to Python
  • Research methods for thesis

Track Management of AI

  • Statistical and econometric models
  • Data analytics and visualisation
  • Knowledge management in AI
  • Robotics and automation
  • Data science for management
  • Entrepreneurship in practice (digital & sustainability)
  • AI and digital transformation

Final steps

  • A Master’s Thesis. A three-part seminar throughout the course: “Methodology for writing your master’s Thesis” will help you to prepare and produce it.
  • A 4 to 6 month internship in any country
campus essca budapest 2024 @jose

Career perspectives

  • Management Consulting
  • Digital Transformation
  • Data Analyst
  • Chief Digital Officer
  • Chief AI Officer
  • Product Owner
  • Marketing Analyst
  • Business Analytics
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A Master Degree Granted

The Master of Science in Business Analytics is granted degree status (Grade de master) by the French Ministry of Higher Education and Research and formally recognised as a national qualification.

This accreditation, derived from the European “bachelor’s, master’s and doctorate” (LMD) system, certifies the high standard of professional and academic competencies of the qualification at the national level.

Registered with the French National Register of Professional Certifications (RNCP), under the reference number 41189, Level 7 – equivalent to a master’s degree (Bac+5).

Christian KADIMA MSc student

Testimonial

Studying in the MSc in AI Management at ESSCA has been an incredible experience for me. What has impressed me the most is the diversity of my classmates. People from all over the world who constantly challenge me intellectually and offer fresh perspectives on business, innovation and the world at large. Having lived in multicultural environments for most of my life, I truly enjoy connecting with people from different backgrounds and seeing how they approach problems through their own lenses. The programme’s greatest strengths are the richness of its student body and the excellence of its professors. The professors are not only highly knowledgeable but also very supportive, open, available and genuinely gifted at teaching. I have enjoyed my courses deeply, and if anything, I would have appreciated an even more technical approach alongside the theoretical foundations. Overall, it has been an enriching and inspiring journey.

FAQ for MSc in Management of Artificial Intelligence

What will I learn in the MSc in Management of Artificial Intelligence programme?

You will gain in-depth insights into the strategic, operational, and ethical dimensions of harnessing AI technologies to drive innovation and achieve business objectives in diverse organisational contexts.

What career opportunities are available after completing this MSc in Management of Artificial Intelligence?

Graduates can pursue careers in AI management, data science, technology consulting, and roles that involve implementing and managing AI solutions within organisations.

Are there any prerequisites for the MSc in Management of Artificial Intelligence programme?

Applicants should hold a 4-year Bachelor Degree or a 3-year Bachelor Degree with a minimum of 3 years of relevant professional experience, ideally with some exposure to artificial intelligence concepts.

How does this MSc in Management of Artificial Intelligence programme integrate AI throughout the curriculum?

The programme uniquely blends technical (data-driven) and soft skills, ensuring mastery across all business sectors. It includes hands-on activities and learning expeditions to top artificial intelligence events and workshops abroad.

What are the admission requirements for international students for the MSc in Management of Artificial Intelligence?

International students must meet the same academic requirements and may need to demonstrate proficiency in English, with a focus on understanding artificial intelligence concepts.

How long is the MSc in Management of Artificial Intelligence programme?

The programme lasts 12 months, comprising 361 hours of on-site teaching spread over 2 semesters in Paris. You’ll also have the option to pursue a 4 to 6-month internship in any country or engage in a company mission during or after the 2 semesters of study.

Learn more about the MSc in Business Analytics

Track Finance and Data Analytics

MSc in Business Analytics

The MSc in Business Analytics at ESSCA integrates data, finance, sustainable management and artificial intelligence, preparing students with technical expertise, business insight and ethical leadership.