MSc in Data Science for Marketing
Entry requirements
Eligibility requirements for the 2-year MSc programs:
Proficiency in English as demonstrated by one of the following:
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TOEFL iBT 84, TOEIC 655, IELTS 6.0 or Duolingo 100
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English-taught undergraduate program
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Native speaker
3-year or 4-year undergraduate degree in any field
Eligibility requirements for the 1-year MSc programs:
Proficiency in English as demonstrated by one of the following:
-
TOEFL iBT 84, TOEIC 655, IELTS 6.0 or Duolingo 110
-
English-taught undergraduate program
-
Native speaker
4-year undergraduate degree in any field
The 2-year MSc or Master in Management program is strongly recommended for applicants with a 3-year undergraduate degree.
Months of entry
September
Course content
A professional approach that is highly sought after by employers! The MSc in Data Science in Marketing is based on a teaching approach that balances theoretical knowledge and practical skills.
The courses are structured around three dimensions:
- Methodologies: machine learning, deep learning, psychometrics, etc.
- Practical skills: programming in R and Python, use of XLstat, SPSS, etc.
- Applications: recommendation systems, development of appetence models, automated customer segmentation, etc.
Throughout the course, you will attend a wide range of talks given by experts, learn more about the concepts involved in real-life case studies using databases supplied by the School's partners, and take part in data mining hackathons.
Fees and funding
1-year MSc track: 19,400€
2-year MSc track: 27,800€
Qualification, course duration and attendance options
- MSc
- full time14-26 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- International Admissions
- international@audencia.com