M.Sc. Business Intelligence & Data Science
Your Passport to becoming a Data Scientist and Business Analytics Expert
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) |
| Degree: | 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: |
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.
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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.
#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:
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
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.
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.
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!
Dortmund, Cologne & Frankfurt/Main Campus
Amanda Jelonek
+49 231.97 51 39-42
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Munich & Stuttgart Campus
Nina Weidemann
+49 89.2 00 03 50-42
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Berlin & Hamburg Campus
Sindy Schulz
+49 30.3 15 19 35-175
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