Master Business Intelligence & Data Science

Your Passport to becoming a Data Scientist and Business Analytics Expert

Find out all that you need to know

The Master of Science Business Intelligence & Data Science at a Glance

Standard period of study: 3 semester plus 1 semester master thesis
Semester start: September (fall term)

Master of Science (M.Sc.)

Campus: Dortmund, Munich, Hamburg, Stuttgart
Study types: Full-time Degree, Distance Learning
Accreditation: FIBAA, German Accreditation Council
Admission requirements: Proof of business studies with at least 15 ECTS points in the field of business (e.g. business administration, economics, business information systems;
or related fields) and least 10 ECTS credits must have been earned in quantitative courses.
View all study requirements
Semester abroad: One compulsory semester integrated
Practical experience: 12 weeks compulsory internship, workshops, excursions
Language: 100 % in English
Double Degree: Get a second master's degree from a partner university
Tuition fees:

Overview of tuition fees and discounts

Fast Track: On the Fast Lane to Your Master in Data Science

When you choose the option "Fast Track" the semester abroad is omitted and you shorten your internship period. This allows you to complete your master in business intelligence degree in only 3 semesters and with 90 ECTS. Prerequisite: you bring 210 ECTS from your Bachelor (an alternative admission to Fast Track is possible via demonstrated work experience or by taking the ISM Pre-Master). Find out more from your study advisor.

Book appointment with a study advisor now

Next Info Events

Do you want to learn more about us and our study programs? Then visit one of our info events. We're looking forward to meet you!

2023-11-09 at 02:00 PM (CEST) - Online Infosession: Bachelor, Master & MBA Programs
M.Sc. Business Intelligence & Data Science program content

Master of Data Science Business Intelligence - Make a Creative Use of Digital Data

The smart use of data has become a decisive competitive factor today, so data scientists, business analysts, system architects or data consultants are in great demand on the market nowadays.

The Data Science graduate program degree lasts four semesters (three with the Fast-Track option) and provides you with comprehensive methodological knowledge for well-founded data retrieval as well as intelligent and automatic data evaluation and analytics.

In addition to classical Computer Science-related topics (Data Management, Quantitative Methods, Linear Algebra), the master in business intelligence and data science also covers teaching units on business analysis, big data and data mining and includes many practical business analytics and consulting projects. This enables you to make important predictions within your future company and plays a key role in achieving corporate goals more effectively.

View the content of the data science degree course

#In the Middle of Practice

Study visit to Acxiom - a Leading Global Data Service Provider

Acxiom prepares big data worldwide to make business insights quickly and easily accessible. With the help of data and statistical analysis, companies understand the needs of customers and can build an efficient customer expericence. Our data science degree students were taught about digital data consulting and shown the many ways in which data can be analyzed, combined and used in practice. An exciting insight into the professional field of Data Scientist.

M.Sc. Business Intelligence at the ISM

How do companies manage to turn their data into gold? Prof. Dr. Matthias Lederer, program director of the M.Sc. Business Intelligence & Data Science program, explains why one should study M.Sc. Business Intelligence & Data Science.

Frequently Asked Questions about Master of Science in Data Science:

Bastian Nominacher
Every day we see from our customers - many of them big players in their industry - which exciting insights emerge from business intelligent data analysis. In particular, our experts use process and data mining as a technique of data science to evaluate digital traces in IT systems. For young professionals, I see the combination of data analytics and consulting competencies as particularly target-oriented, because good data scientists have to master quantitative methods as tools of the trade on one hand, but also convince with soft skills and international experience on the other. I am therefore looking forward to getting to know the ISM graduates.

Bastian Nominacher, Co-CEO and Co-Founder, Celonis SE

Master Business Intelligence - study abroad

Gain International Experience as a Data Science Student

Integrated into the Business Intelligence program is a stay abroad at one of our around 190 partner universities. Through your exchange semester abroad you will:

  • deepen your data scientist and business analyst knowledge in an international context,
  • perfect your foreign language skills,
  • get to know a foreign culture and the intercultural peculiarities of your host country, and
  • have the opportunity to obtain a second international degree (Double Degree) at a partner university, if you wish so.

Since the Master Data Science is taught entirely in English, you will be well prepared for working internationally and across national borders after completing your studies.

Learn more about your integrated semester abroad


How Can I Apply?

Business Intelligence studies at ISM are not restricted by a “Numerus Clausus” (NC). Rather than in your grades, we are interested in your motivation, abilities and your personality structure. In order to test these, you will have to participate in an internal admission test.

View admission requirements and application process

Your Advantages at a Glance

High quality education: first-class teaching and unlimited state accreditation (FIBAA).

Close to practice: 56 international & guest lecturers from the business world.

Strong internationality: students of 84 nationalities. Ratio of 30% international students.

Network of around 190 partner universities to choose for your semester abroad.

Personal teaching atmosphere: study in small learning groups.

Study Data Science Master at four campuses in Germany: Dortmund, Munich, Hamburg and Stuttgart.

Do you have any questions about studying? Please contact us!

+49 151.41 97 68 03
Feel free to send us your questions from Monday to Friday. We'll respond to you from 10 am to 3 pm (CET) on weekdays. Looking forward to chat!

Amanda Jelonek
Dortmund, Cologne & Frankfurt/Main Campus
Amanda Jelonek
+49 231.97 51 39-42
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Nina Weidemann
Munich & Stuttgart Campus
Nina Weidemann
+49 89.2 00 03 50-42
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Sindy Schulz
Berlin & Hamburg Campus
Sindy Schulz
+49 30.3 15 19 35-175
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