Overview

Database administration, business intelligence and reporting services are here to stay due to their future-focused nature. The online master's degree in Business Intelligence offers a well-rounded understanding of business intelligence with options for in-depth knowledge and enables you to take on responsibility in processing, storing and visualising companies’ data. It gives you all the tools you need to carve out a successful career in the sector, and with a scholarship of up to 80%, it is accessible to everyone.

Program Structure

60 ECTS

1st semester

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

2nd semester

• Advanced Research Methods
• Electives
• Master Thesis and Colloquium

Academic Requirements:

• Completed degree from a public or officially recognised university/higher education institution in relevant field.
• At least a “satisfactory” or Grade C equivalent earned in your previous degree.
• Your undergraduate degree should be worth 240 ECTS credits.
  
• Professional Experience:
  For some 60-ECTS master programmes, you will need to have achieved one year of professional work experience before starting your studies.
• English Level:
  Proof of English skills.
  Speexx B2.2 Certificate (complimentary when signing up with IU - free of charge)
  If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.

120 ECTS

1st semester

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

2nd semester

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

3rd semester

• Data Modeling and Reporting
• Project: Data Modeling and Reporting
• Electives A
• Electives B

4th semester

• Master Thesis & Colloquium

Electives

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. 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.

• Applied Data Modelling and Reporting
• Big Data Engineering
• Storage and Data Provisioning in Data Warehouse Systems

Academic Requirements

• Completed degree from a public or officially recognised university/higher education institution in relevant field.
• At least a “satisfactory” or Grade C equivalent earned in your previous degree.
• Your undergraduate degree should be worth 180 ECTS credits.
• Your undergraduate studies must amount to 240 ECTS credits to begin a 60-ECTS MA.
  
• English Level:
  Proof of English skills.
  Speexx B2.2 Certificate (complimentary when signing up with IU - free of charge)
  If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills.