Overview

The M.Sc. in Data Science for Customer Knowledge at ENSAI - National School for Statistics and Information Analysis is a prestigious programme that aims to cultivate highly skilled data professionals. As businesses increasingly rely on data-driven strategies, this master's degree prepares students to meet the growing demand for expertise in data science, particularly in understanding customer behaviour and preferences.

Why Data Science for Customer Knowledge at ENSAI?

ENSAI is recognised for its rigorous academic standards and strong industry connections. The school boasts a well-established reputation in the field of data science, with partnerships that enhance the learning experience. Students benefit from state-of-the-art facilities and access to cutting-edge resources, ensuring they are well-prepared for their future careers. The programme is accredited by the Conférence des grandes écoles, affirming its quality and relevance in today's job market.

Tuition Fee Breakdown

The tuition fees for the M.Sc. in Data Science for Customer Knowledge are set at EUR 8,000 for both international and European students. For those employed, the fees may vary based on specific agreements with the institution. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is structured to provide a comprehensive understanding of data science applications in customer knowledge. Key components of the syllabus include:

Mathematics and Statistics Refresher
Machine Learning Techniques
Data Modelling and Analysis
Ethics and Regulations in Data Usage
Practical Applications in Marketing
Professional Thesis Development

Students engage in a blend of theoretical learning and practical experience through alternating periods of study at ENSAI and placements in relevant industries, ensuring they can apply their knowledge effectively.

Careers with Data Science for Customer Knowledge

Graduates of this programme are well-equipped to pursue various roles in data science and analytics. Alumni have found success in diverse sectors, including marketing, finance, and technology. Potential job titles include Data Scientist, Customer Insights Analyst, and Marketing Data Analyst. The skills acquired during the course enable graduates to contribute significantly to organisations by leveraging data to drive strategic decisions and enhance customer engagement.

Programme Structure

Courses include:

Statistics and spatial econometrics

Bayesian Regression Model

Discrete choice models

Panel Data Econometrics

Exploratory statistics, data visualization and data story telling

Marketing Strategy with Dryrun Marketing

Recommender systems

Scoring

Key information

Duration

Full-time
- 12 months

Start dates & application deadlines

Starting 2027-09-09 00:00:00
- Apply before 2027-04-15 00:00:00

Language

English

Credits

75 ECTS

Delivered

On Campus

Campus Location

Bruz, France

Disciplines

Family & Consumer Science Data Science & Big Data

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Have a Bac+5 degree:• a master 2 in applied mathematics, statistics, mathematical finance or econometrics• an engineering or management degree with significant mathematics content

or have a M1 degree or equivalent (Bac+4) with 3 years of professional experience;

or hold an international diploma equivalent to the previous ones.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at ENSAI - National School for Statistics and Information Analysis and/or in France, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

8000 EUR / year

≈ 8000 EUR / year
EU/EEA Applies to you

Applies to you

EU/EEA Nationals

8000 EUR / year

≈ 8000 EUR / year

Additional Details

The tuition fees for students are set at 12,000 euros if they are employed and at 8,000 euros if they are not.

Living costs

Bruz

France

640 - 950 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science for Customer Knowledge.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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