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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.
Program overview
Main Subject
Marketing
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.
Admission Requirements
6+
84+
Eligibility requirements for the 2-year MSc programs:
Proficiency in English as demonstrated by one of the following:
TOEFL iBT 84, TOEIC 655, IELTS 6.0 or Duolingo 100
English-taught undergraduate program
Native speaker
3-year or 4-year undergraduate degree in any field
2 Years
Sep
Tuition fees
Domestic Students
27,800 EUR
-
International Students
27,800 EUR
-
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc in Data Science for Marketing
Atlantic Campus (Nantes), Nantes, France
24 monthsProgram duration
27,800 EURTuition Fee/year
MarketingMain Subject Area
Program overview
Main Subject
Marketing
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.Program overview
Main Subject
Marketing
Degree
MSc
Study Level
Masters
Study Mode
On Campus
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.Admission Requirements
Eligibility requirements for the 2-year MSc programs:
Proficiency in English as demonstrated by one of the following:
3-year or 4-year undergraduate degree in any field
Tuition fees
Domestic Students
International Students
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
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