Masters in Data Science and Artificial Intelligence

Class Profile

Class Size

25

Average Age

23

Average Work Experience

2 Years

Diversity

Others:

5%

North America:

10%

South America:

5%

Africa:

5%

Asia:

15%

Europe:

30%

France:

45%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

74%

Job Placement

98%

Top recruiters

Accenture

Deloitte

EY

IBM

Google

Amazon

Microsoft

Goldman Sachs

Dell

Genentech

Meta

Fees and Funding

Tuition Fees

$19,250 / year

Overall Cost

$34,250 / year

FAQs

• How does the selection process work?
  
  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.
• What documents are required for application?
  
  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.
• What are the admission requirements for the program?
  
  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.
• What advanced topics are covered in Year 2?
  
  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.
• What are the key courses and learning experiences in Year 1?
  
  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.
• How long is the program and what is its structure?
  
  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.
• What is the focus of the MSc in Data Science & Artificial Intelligence at Emlyon Business School?
  
  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.