
Emlyon Business School Paris

Paris
,France

Program Name
Masters in Data Science and Artificial Intelligence

Deadline
July 27th, 2026
Overview

Total Tuition Fees
$38,500

Duration
24 Months

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
25

Average Age
23

Average Work Experience
2 Years
Career Outcomes
Prospective Job Roles
Data Scientist
Digital Marketing Analyst
AI Strategist
Business Intelligence Consultant
AI Project Leader
Data Analyst / Big Data Analyst
Top recruiters





Eligibility Criteria

At least 2.7 / 4 undergraduate GPA is expected.

At least 16 years of bachelor degree.

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

English Proficiency Tests
IELTS
7

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.

Application Fee: 120

Transcript

Resume

Resume

Academic LOR

Passport

Master SOP

Professional LOR

IELTS
Application Deadlines
| Session 10 | Round 4 | Round 5 | Round 6 | Round 7 | Regular | |
|---|---|---|---|---|---|---|
| Fall | Jul 27, 2026 | May 5, 2025 | May 26, 2025 | Jun 16, 2025 | Jul 15, 2025 | Aug 1, 2026 |
Fees and Funding

Tuition Fees
$28,750 / year

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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