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M.Sc. Business Intelligence & Data Science

International School of Management (ISM) Paris

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  • Over 1,500 EUR/sem
    Tuition
  • Winter intake
    Intake
  • English
    Language
  • 4 semesters
    Duration
  • 15 Jul
    Next deadline

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About the programme

The International School of Management (ISM) is a prestigious university known for its high-quality education and diverse student body. The Business Intelligence & Data Science course at ISM is designed to equip students with the skills and knowledge needed to thrive in the rapidly growing field of data analysis and business intelligence. The program offers a comprehensive curriculum that covers topics such as data mining, predictive analytics, and data visualization. Students also have the opportunity to gain practical experience through internships and real-world projects. With its strong emphasis on both theoretical knowledge and practical application, the Business Intelligence & Data Science course at ISM prepares students for successful careers in the data-driven business world.

Fields of study

Artificial Intelligence(Computer Science & IT)
Data Science(Computer Science & IT)

How to apply

ChannelDirect to university
Modeonline
APSRequired for Enrollment

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

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Requirements

What you need to apply for Business Intelligence & Data Science at International School of Management (ISM)

English language

IELTS Overall
6/ 9.0
View English requirements details

TOEFL (at least a score of 80, internet-based) or

IELTS (at least 6.0) or

Cambridge (FCE) or

A degree in English studies or

At least 30 ECTS in an English-language higher education program or

you are a native speaker (assessed on a case-by-case basis).

German language

View German requirements details

Not required

Academic requirements

Completed Bachelor's degree
Required
Minimum ECTS credits
180

ECTS are study credits. One year of full-time study is about 60 ECTS.

View academic requirements details

yes

In the M.Sc. Business Intelligence & Data Science, students must prove that they have achieved at least 15 ECTS credits in mathematics, statistics, economics (e.g. empirical economic research) or computer science in a course of studies in economics.

Alternatively, students must provide evidence of at least 15 ECTS credits from a degree course in business mathematics, (business) information technology or technology/(business) engineering in the field of business sciences.

APS verification

APS certificate
Required for Enrollment

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Prerequisites

Applicants to the Business Intelligence & Data Science program must have a first degree in which at least 15 credits have been obtained in the field of business (e.g. business administration, economics, business information systems; or related fields), of those credits or in addition to those credits at least 10 credits must have been earned in quantitative courses (e.g. mathematics, statistics, computer science, technology, market research, econometrics; or related fields). Qualified professional experience both in business and in quantitative fields can be used to compensate for a lack of subject-specific ECTS points.

If you have not studied for a Bachelor's degree in economics or if your quantitative ECTS points are not sufficient, you can prepare yourself for your management studies with the ISM Pre-Master.

Please register online for the admission test. You will then receive a confirmation of enrolment with a link to our application portal and the concrete date.

International applicants who require a visa for studying in Germany must submit their application documents by July 15th of the same year.

The admission process at ISM currently consists of a case study and an (online) interview with the study program director. You will present your results of the case study in an oral presentation on the day of the admission interview.

Documents checklist

What to prepare for your application to Business Intelligence & Data Science

Programme-specific documents

You will receive a link to our application portal after your registration for the admission test day. There you can upload the following documents that we need from you:

Curriculum vitae (CV).

Copy of your national ID card.

A digital passport photo (colored, jpg format, high resolution).

Letter of motivation.

Certified (authenticated) copy of your first degree certificate (in English or German)

If the certificate is not yet available at the time of application, please submit the current overview of grades of the examinations completed up to this point (transcript of records). If you have obtained an international degree, please contact your student advisors to check admission requirements.

Proof of English language knowledge.

You should prove your proficiency in the English language as follows:

A TOEFL (at least a score of 80, internet-based), IELTS (at least 6.0) or Cambridge (FCE) test score or

A degree in English Studies or

At least 30 ECTS in an English-language higher education program or

You are a native speaker (will be assessed on a case-by-case basis).

Proof of health insurance in Germany (can be submitted at a later time too).

This programme applies directly to the university. Submit your documents through the correct channel before the deadline.

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Apostille and notarization

Requirements vary by nationality and issuing country. Many German universities require certified translations and, in some cases, document apostilles. Verify current requirements directly with the admissions office, or use our document services for guided preparation.

Need help preparing your documents?

Our document preparation bundle covers SOP, CV, LOR, and translation coordination, reviewed by our team.

View document bundle

How to apply

Step-by-step guide to applying for Business Intelligence & Data Science at International School of Management (ISM)

Application procedure

Selection process

The admission process consists of a case study and an interview. You will present your results of the case study in an oral presentation on the day of the admission test.

1st case study:

After your online registration for the admission process, we will send you questions which you will prepare in the form of a presentation and a written elaboration for the day of the interview. You send us the results of this case study by e-mail at least 2 working days before your interview. Therefore, we can also go into the conversation well prepared.

2nd interview:

The goal of the interview is to get to know you and your personal background better. We are looking forward to getting to know your professional and personal goals as well as your motivation for your studies. Furthermore, the head of the study programme can discuss the results of your case study with you during the interview. If you have any further questions about the application process, please contact your study advisor.

Application quick facts

Apply via

Direct to university

Mode

online

APS

Required for Enrollment

APS checks your degree papers. You need it if your degree is from India, China or Vietnam.

Application fee

0 EUR

Address

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Costs

Tuition

Over 1,500 EUR

per semester

Semester contribution

N/A

per semester

Application fee

0 EUR

per application

Estimated year-1 total cost

27,924 – 50,964 EUR

Includes tuition, semester contribution, and estimated living costs. Range accounts for lifestyle differences.

Additional fee information

5,700 Euro for all campuses (for contracts signed for fall term 2024)

6,480 Euro (for contracts signed from spring term 2025 onwards)

Enrollment fee

EU- & EWR-students: 600 Euro

Non-EU-students: 1,500 Euro

admission deposit of 3,500 Euro

Plan your total budget for Germany

Use the MS in Germany cost calculator to estimate living expenses, insurance, and your full year-one spend.

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Admission outcomes

No admission statistics available yet for this programme

Statistics will appear here as more applicants report their outcomes. Check back later for acceptance rates and grade benchmarks.

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