Mastering Data Science & AI for Business with EDHEC’s Master in Management
Explore how EDHEC's Master in Management – Data Science & AI for Business track prepares students to lead in an AI-driven world by combining advanced technical knowledge with essential managerial skills.
Artificial intelligence (AI) is reshaping industries, creating opportunities for professionals skilled in both data science and business strategy. EDHEC Business School is at the forefront of this transformation with its Master in Management – Data Science & AI for Business track. This programme of study combines technical expertise and managerial insights, equipping students to lead in an AI-driven economy. With insights from Victor Planas-Bielsa, Programme Director, let’s explore how this degree is designed to prepare the next generation of leaders.
Vision: Developing strategic leaders
Victor Planas-Bielsa, Programme Director at EDHEC, shares his vision for this cutting-edge programme of study:
"AI and data science are no longer optional; they are fundamental to the future of business. We aim to train leaders who not only understand these technologies but also know how to use them ethically and strategically to create sustainable, impactful solutions."
EDHEC’s forward-thinking approach combines rigorous technical training with a focus on business applications. The courses leverage the programme's strong connections with industry partner Orange to ensure its relevance in today’s dynamic job market. Students also gain specific knowledge in AI, equipping them to solve world data science problems and lead businesses responsibly in a data-driven world.
Programme structure: A comprehensive journey
The Master in Management – Data Science & AI for Business is structured into three core stages, each designed to build technical, managerial, and practical expertise.
Year 1: Technical foundations and managerial skills
The first academic year provides a strong grounding in both technical and management concepts. Key components include:
- Programming and databases: Master Python and database management systems.
- Machine learning: Learn the fundamentals of AI, including deep learning.
- AI ethics and regulation: Understand the ethical implications and regulatory landscape of AI.
- Core business principles: Develop strategic business planning and managerial decision-making skills.
This foundational year incorporates essential modules like data visualisation and introduces students to research methods in AI and business strategy, helping them integrate AI tools effectively into business contexts.
Year 2: Professional immersion
Students spend the second year immersed in the real world through two six-month internships. These experiences allow them to:
- Apply classroom knowledge to real-world challenges.
- Build relevant work experience and strengthen professional networks.
- Gain practical insights into AI's role across diverse sectors.
This professional exposure ensures that graduates are job-ready and well-equipped to adapt to fast-evolving industry demands.
Year 3: MSc specialisation and career focus
The final year enables students to tailor their learning to their career aspirations through specialisations such as:
- MSc in Data Analytics & Artificial Intelligence: Focus on advanced data analysis and machine learning roles.
- MSc in Marketing Analytics: Harness AI to derive consumer insights and optimise marketing strategies.
- MSc in Financial Engineering: Apply AI in quantitative finance and risk management.
- MSc in International Finance: Tackle global markets and corporate finance challenges.
- Double Degrees with EURECOM: Deepen expertise in Data Science or the Internet of Things.
"Our goal is to form a new generation of technically savvy managers who will shape the future of business," says Victor Planas-Bielsa.
Industry partnerships: Practical learning in action
One of the most distinguishing features of EDHEC’s programme of study is its integration with industrail partners. Collaborations with organisations like Orange ensure that students work on real business scenarios and participate in workshops. This hands-on approach develops critical skills in:
- Strategic thinking and decision-making.
- Adapting to complex, fast-paced environments.
- Delivering measurable business value.
"Real-world engagement is essential. Students don’t just learn theory—they practice making informed decisions and creating value," Victor Planas-Bielsa emphasises.
The programme also focuses on adaptability, a key trait in today’s rapidly evolving market. With the lifespan of technical skills now averaging five years, EDHEC Business School prepares students to continue learning and innovating throughout their careers.
Preparing leaders for tomorrow
For students seeking to master both technical and managerial skills in AI and data science, EDHEC’s Master in Management – Data Science & AI for Business offers a unique opportunity. With a future-focused curriculum, robust industry partnerships, and an emphasis on practical application, this degree prepares graduates to lead with confidence and impact in an AI-powered world.
"AI and data are not just tools; they are transformational forces. This programme enables students to harness their potential responsibly and effectively, shaping the future of business."
Ready to shape the future? Explore EDHEC’s Master in Management – Data Science & AI for Business today.
Master in Management – Data Science & AI for Business track entry requirements
To enrol in EDHEC’s Master in Management – Data Science & AI for Business track, applicants must meet specific academic and professional qualifications:
- Academic Background: A bachelor’s degree in relevant fields such as science, engineering, mathematics, statistics, business, or economics.
- Language Proficiency: TOEFL (≥ 92), IELTS (≥ 6.5), TOEIC ≥ 850, Cambridge Test of English > 175
- Standardised Test Scores: Optional Aptitude Test Score GMAT or GRE or TAGE MAGE or CAT* official test score report (CAT* for Indian students only) can add value to your application
- Personal Statement: Applicants must provide a compelling personal statement explaining their motivation, career goals, and alignment with the programme’s objectives.
- Relevant Work Experience: While not mandatory, prior internships or relevant work experience in data science or analytics are considered valuable.
EDHEC offers scholarships and funding opportunities to help students manage tuition fees and living costs. These resources support a diverse range of talented individuals seeking to join this innovative programme.
FAQs
A Master in Data Science is a specialised postgraduate programme designed to equip students with the skills to analyse, interpret, and apply data to solve complex, real-world problems. This advanced degree blends theoretical foundations with hands-on experience, ensuring graduates are well-prepared to tackle challenges in today’s data-driven industries.
At EDHEC Business School, the Master in Management - Data Science & AI for Business track goes beyond technical training. The curriculum includes a wide range of courses such as advanced machine learning, programming, and business strategy, enabling students to understand the broader impact of their work. Courses focus on practical applications, such as building predictive models, developing data-driven business strategies, and addressing ethical considerations in AI.
Through EDHEC’s industry-focused approach, students also engage in internships, live projects, and collaborations with partners like Orange. These opportunities ensure they graduate with not only technical proficiency but also the ability to think strategically and communicate insights effectively.
By mastering cutting-edge tools and frameworks, such as Python and data visualisation software, students develop versatile skill sets that make them invaluable assets in industries ranging from finance and healthcare to marketing and technology. Furthermore, EDHEC emphasises the ethical use of data science, preparing graduates to apply their expertise responsibly and sustainably in roles like data scientist, AI specialist, and business analyst.
This comprehensive approach ensures that graduates are not only proficient in data analysis but also capable of leveraging their skills to drive strategic decision-making and innovation across various sectors.
EDHEC’s Master in Management – Data Science & AI for Business offers a blend of technical expertise and strategic business skills. Unlike traditional programmes, it bridges the gap between advanced data science techniques and their real-world applications. With strong industry partnerships and a focus on ethics and sustainability, this programme ensures that students are not just job-ready but also equipped to make responsible decisions in a fast-changing world.
A Master in Data Science is intellectually demanding, as it involves mastering a wide range of technical and analytical skills. Students need to learn programming languages like Python, understand machine learning algorithms, and navigate large datasets effectively.
EDHEC Business School’s programme makes this manageable by providing a clear structure and strong support through experienced faculty, industry projects, workshops, and accessible teaching methods. While challenging, the programme is designed to guide students step-by-step, making it achievable for those willing to commit.
A Master’s in Data Science is highly valuable in today’s data-driven economy. It provides the technical skills and strategic mindset required to address modern business challenges. Graduates from EDHEC Business School often secure roles in high-growth sectors such as AI strategy, data analytics, and business intelligence. Furthermore, the programme emphasises hands-on learning, meaning students graduate with both theoretical knowledge and practical experience, making them competitive in the job market in the field of data science. For those passionate about leveraging technology to drive impact, this programme is a worthwhile investment.
Deciding between a Master’s in Data Science and an MBA depends on which is better suited to your career aspirations.
If you are interested in roles that require technical proficiency in data analysis and AI, a Master’s in Data Science is the clear choice. It equips you with specialised knowledge that is highly sought after in sectors like technology, finance, and marketing.
On the other hand, an MBA offers broader management and leadership training, which is ideal for those aiming for general business roles. EDHEC’s focus on combining technical and managerial training provides the best of both worlds for data science professionals aspiring to leadership roles.
Mastering data science requires dedication and a structured approach. Start by building strong foundations in programming, statistics, and machine learning through well-designed courses. Engage in practical projects that involve real-world datasets to apply what you learn.
EDHEC’s programme helps students achieve mastery by combining rigorous coursework, hands-on industry projects, and mentorship from experts. Additionally, staying updated with the latest advancements in AI and continuously honing your skills ensures long-term success.
The time needed to master data science depends on your starting point. For those without prior experience, it can take several years. EDHEC’s Master in Management (MiM) – Data Science & AI for Business is structured to help applicants achieve mastery over three years.
In the first year, students build technical foundations through key modules in programming, database management, and machine learning, alongside managerial skills. The second year focuses on professional immersion, where students apply their knowledge through internships. In the final year, they specialise in fields like Data Analytics & Artificial Intelligence, Marketing Analytics, Financial Engineering, International Finance, or pursue a Double Degree with EURECOM.
EDHEC combines rigorous coursework, real-world industry projects with partners like Orange, and expert mentorship to ensure students graduate ready to tackle complex data challenges. By the end of the programme, students are equipped with advanced expertise and practical experience, making them competitive in the data-driven job market.
EDHEC’s Master in Management - Data Science & AI for Business integrates courses, internships, industry projects, and career coaching to ensure students are job-ready upon graduation. With partnerships with organisations like Orange, students work on real-world business challenges, developing critical skills in strategic decision-making and adaptability. The curriculum emphasises hands-on learning, so graduates not only understand the theories behind data science but can also implement them effectively in professional environments.
Graduates from EDHEC’s programme are prepared for a wide range of industries. Popular career paths include data analytics, AI strategy, marketing analytics, and financial engineering. Companies across technology, healthcare, finance, and consumer goods actively seek professionals who can leverage data to drive innovation and strategic decisions. EDHEC’s strong industry connections and career support give graduates a competitive edge in these sectors.
Yes, EDHEC Business School places a strong emphasis on ethical AI. Students engage with dedicated modules that explore the regulatory landscape and the societal implications of AI adoption.
The programme encourages critical thinking about data privacy, bias in machine learning models, and the long-term impacts of AI-driven solutions. This focus ensures that graduates are not only technically skilled but also prepared to use AI responsibly, contributing to sustainable and equitable business practices.
EDHEC Business School’s MSc in Marketing Analytics and MSc in Data Analytics & Artificial Intelligence are two specialised programmes designed to equip students with cutting-edge analytical and technological skills to meet the high demand of the job-market.
The MSc in Marketing Analytics, ranked Top 10 worldwide (QS 2025), focuses on applying data-driven insights to optimise marketing strategies, predict consumer behaviour, and enhance customer engagement. It combines marketing principles with advanced tools like Python and R, preparing students for roles such as marketing analysts, digital strategists, and customer insights managers.
The MSc in Data Analytics & Artificial Intelligence, on the other hand, delves deeper into machine learning, AI applications, and predictive modelling. Students explore areas like natural language processing and deep learning while addressing ethical considerations in AI. This programme prepares graduates for roles as data scientists, AI specialists, and machine learning engineers.
Both programmes emphasise hands-on workshops, real-world projects, and collaboration with industry leaders, ensuring that graduates are ready to excel in a data-driven, technology-centric world.
