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Emlyon Business School Paris

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Paris

France

The Master in Data Science & Artificial Intelligence Strategy program, formerly known as the MSc in Data Science & Artificial Intelligence Strategy, is offered by Emlyon Business School in Paris. This master's degree is designed to equip students with the skills to transform data into actionable insights, master AI tools, and lead business transformation powered by artificial intelligence. The curriculum integrates cutting-edge academic knowledge with practical experience through hackathons, consulting projects, data science missions, and professional internships. It blends technical know-how, strategic insight, and ethical leadership, providing advanced methods and techniques for designing and deploying effective and responsible AI strategies. The program emphasizes responsible data governance, business strategy, and transparent practices, covering core areas such as data analysis, AI tools and technologies, machine learning algorithms, Large Language Models, Cloud Computing, Generative models, Big Data, and the ethical, legal, and societal dimensions of AI.
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Total Tuition Fees

$38,500

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Duration

24 Months

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Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

23

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Average Work Experience

2 Years

Career Outcomes

Graduates of the Master in Data Science & Artificial Intelligence Strategy program are prepared for high-demand roles across various sectors, including tech, banking, industry, e-commerce, energy, transport, and telecommunications. The program aims to meet the needs of recruiters for short-staffed jobs or "jobs of tomorrow" and leverages Emlyon Business School's network of alumni, corporate partners, and recruiters to provide access to top-tier companies.

Prospective Job Roles

Data Scientist

Digital Marketing Analyst

AI Strategist

Business Intelligence Consultant

AI Project Leader

Data Analyst / Big Data Analyst

Top recruiters

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Eligibility Criteria

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At least 2.7 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

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At least 24 months of full-time professional experience after graduation.

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English Proficiency Tests

  • IELTS

    7

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 120

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    Transcript

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    Resume

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    Resume

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    Academic LOR

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    Passport

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    Master SOP

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    Professional LOR

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    IELTS

Application Deadlines

Session 10Round 4Round 5Round 6Round 7Regular
FallJul 27, 2026May 5, 2025May 26, 2025Jun 16, 2025Jul 15, 2025Aug 1, 2026

Fees and Funding

Tuition fees are for the 2025-2026 academic year. The 1-year course (entry in Year 2) costs €28,750. The 2-year course (entry in Year 1) costs €38,500, payable as €13,750 in Year 1 and €24,750 in Year 2. Fees include tuition, enrollment and administrative costs, travel and lodging for the International Seminar (when applicable), Career Center services, individual career coaching, and lifelong alumni membership. Cost of living estimated for Paris.
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Tuition Fees

$28,750 / year

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Overall Cost

$42,750 / year

FAQs

  • After application review, candidates complete digital tests including video motivation, written questions, and a multiple-choice questionnaire. The Admissions Committee then decides on admission, waitlisting, or requalification for Year 1. The application fee is €120, with possible waivers.
  • Applicants must submit a CV/resume, valid passport or ID, certified copies of diplomas and transcripts, proof of current enrollment if applicable, and English proficiency test scores (TOEFL, TOEIC, IELTS, Cambridge) unless exempt. Optional documents include management aptitude test scores, recommendation letters, and a motivation letter.
  • For Year 1 entry, applicants need a Bachelor’s degree with 180 ECTS credits or equivalent. For Year 2 entry, a Bachelor’s degree with 240 ECTS credits or completion of the first year of a recognized Master’s program is required. Applicants may apply while completing their final year of study.
  • Year 2 covers machine learning, deep learning, natural language processing, big data, time series analysis, responsible data governance, digital analytics, cloud computing, and generative AI models. Students attend an international seminar in Europe and study at McGill University in Canada. The year ends with a compulsory 4–6 month internship and a master thesis.
  • Year 1 includes courses in finance, marketing, statistics, strategy, operations, sustainability, programming fundamentals, data wrangling, business intelligence, AI history, European data regulations, and agile management. Students participate in hackathons, company visits, business games, and an international term in Europe. A 3–4 month internship is optional at the end of Year 1.
  • The program is two years full-time, with entry options into Year 1 or Year 2 depending on prior education. Year 1 focuses on core business and technical fundamentals, experiential learning, and an optional internship. Year 2 offers advanced AI and data science courses, international seminars, a mandatory internship, and a master thesis linked to industry projects.
  • The program is designed to develop future leaders skilled in AI and data science by combining technical expertise with strategic and ethical understanding. It is part of the Master in Innovation degree (DSMI), recognized by the French Ministry of Higher Education and Research, awarding a BAC+5 (Master’s level) qualification. The curriculum emphasizes international exposure, industry relevance, and hands-on learning through projects, seminars, and internships.

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