International University of Applied Sciences

Master of Science - Business Intelligence

Help push businesses forward with a data-driven approach and a specialist knowledge of how to analyse and learn from it.

Business intelligence and data reporting have a double importance for modern-day businesses: they help them to better understand and improve their daily operations, and they help them plan and assess what they need to do in the future. With the Master’s programme in Business Intelligence, you’ll be able to develop a strong base of knowledge in the business and technical aspects of data management and business intelligence. Use that knowledge to help make businesses better, and develop an international career in a fast-growing industry sector.

MS Business Intelligence
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Your Degree Summed Up


  STUDY MODEL

Master of Science (M.Sc.)
Study format: 100% Online


  ACCREDITATION

120 ECTS option and 60 ECTS option (European Credit Transfer System). Accredited in line with German and European standards


  DURATION OF STUDY

4 semesters – 24 months – 120 ECTS option
2 semesters – 12 months – 60 ECTS option


  ADMISSION

120 ECTS – Bachelor degree – minimum 3 years
60 ECTS – Bachelor degree – 4 years, one year experience
Previous study in Math, Statistics, Programming, Computer Science or proof of work knowledge
At least overall C grade
English Skills (IELTS, TOEFL, Cambridge, etc.)


  STUDY FEES

120 ECTS – Euros 4,964 for full degree
60 ECTS – Euros 3,288 for full degree


  ASSESSMENTS

Online Assignments and Exams

Course Overview - Option 1 - 120 ECTS 4 Semesters

1. SEMESTER

Module ECTS
Business Intelligence I 5
Concepts in Data Management 5
Corporate Governance of IT, Compliance, and Law 5
Relational and NoSQL Databases 5
Data Query Languages 5
Project: Business Intelligence 5

2. SEMESTER

Module ECTS
Seminar: Ethic & Societal Considerations in Data Management 5
Strategic Management 5
Data Warehousing Architecture Types 5
Extract, Transform and Load Technologies 5
Advanced Research Methods 5
Seminar: Data Warehouse Approaches and Methodologies 5

3. SEMESTER

Module ECTS
Data Modeling and Reporting 5
Project: Data Modeling and Reporting 5
Electives A 10
Electives B

4. SEMESTER

Module ECTS
Master Thesis and Colloquium 15

Electives for 120 ECTS Option

During your studies you will learn how to deal with various data management concepts. In the 120 ECTS programme, you have the opportunity to choose electives of 20 ECTS and get an in-depth knowledge of your desired areas and sectors.

Course Overview - Option 2 - 60 ECTS 2 Semesters

1. SEMESTER

Module ECTS
Business Intelligence I 5
Relational and NoSQL Databases 5
Data Query Languages 5
Project: Business Intelligence 5
Data Warehousing Architecture Types 5
Seminar: Data Warehouse Approaches and Methodologies 5

2. SEMESTER

Module ECTS
Advanced Research Methods 5
Electives 5
Master Thesis and Colloquium 15

Electives for 60 ECTS Option

During your studies you will learn how to deal with various data management concepts. In the 60 ECTS programme, you choose an elective of 10 ECTS in areas such as Data Miner, Big Data Engineering, Technical Project Lead, Digital Business and Entrepreneurship and Digital Marketing.

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