Master Business Intelligence & Data Science

Unlimited State Recognition

Facts and figures


M.Sc. Business Intelligence & Data Science

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

Master of Science

Campus: Dortmund, Munich, Hamburg
Accreditation: FIBAA, German Accreditation Council
Admission requirements: Business studies with at least 15 ECTS points in mathematics, statistics, economics, or computer science. All requirements.
Semester abroad: One compulsory integrated
Practical experience: 12 weeks compulsory internship, workshops, excursions
Language: 100% English
Tuition fees:

6,180 Euro per semester (1st - 3rd semester) in Dortmund
6,480 Euro per semester (1st - 3rd semester) in Munich and Hamburg

monthly payment possible

Enrollment fee (EU- & EWR-students): 600 Euro

Enrollment fee (Non-EU-students): 1,500 Euro

Thesis fee (4th semester): 1,200 Euro at all campuses



M.Sc. Business Intelligence & Data Science program content

Master Business Intelligence - Creative Use of Digital Data

Due to the the smart use of data is a decisive competitive factor today, data scientists, system architects or data consultants are in great demand on the market. The Data Science Master provides you with comprehensive methodological knowledge for well-founded data retrieval as well as intelligent and automatic data evaluation.

In addition to IT topics, there are also teaching units on business analysis and practical consulting projects. This enables you to make important predictions within the company and plays a key role in achieving corporate goals more effectively.

View the contents of the Master Business Intelligence course

Master Business Intelligence - study abroad

Gain International Experience

Integrated into the Master Business Intelligence & Data Science is a stay abroad at one of around 190 partner universities. Through your semester abroad you will:

  • deepen your expertise in an international context,
  • perfect your language skills,
  • get to know intercultural peculiarities and
  • have the opportunity to complete a second international degree (Double Degree) at a partner university.

Learn more about semesters abroad

Application

How Can I Apply?

Business Intelligence studies at ISM are not restricted by a “Numerus Clausus” (NC). To test your motivation, your abilities and your personality structure, you take part in an internal entrance test.

Further information about the admission requirements and the application process


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.


Bastian Nominacher
Every day we see from our customers - many of them big players in their industry - which exciting insights emerge from intelligent data analysis. In particular, our experts use process 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 - but also convince with soft skills and international experience. I am therefore looking forward to getting to know the ISM graduates.

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


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

You can also ask questions regarding your studies via WhatsApp:
0151.41 97 68 03
They will be answered from Monday to Friday 10:00 – 15:00 or the next working day at the latest.

Ramona Schulte
Dortmund Campus
Ramona Nowak
+49 231.97 51 39-42
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Rebekka Pietschmann
Frankfurt/Main & Cologne Campus
Rebekka Pietschmann
+49 69.66 05 93 67-45
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Nina Weidemann
Munich & Stuttgart Campus
Nina Weidemann
+49 89.2 00 03 50-42
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!

Katharina Bohm
Berlin & Hamburg Campus
Katharina Bohm
+49 30.3 15 19 35-101
Diese E-Mail-Adresse ist vor Spambots geschützt! Zur Anzeige muss JavaScript eingeschaltet sein!