M.Sc. Data Management

Data management one of most sought-after skills as we move into the future. Experts at master level in particular are already in great demand today: As a data manager, you design secure systems that represent added value for your organisation. IU’s online M.Sc. Data Management offer you a route to do this, with affordable tuition fees. During this programme, you will learn the skills to lead demanding projects where you are required to process and store large amounts of data. You will acquire practical skills in data processing, data storage, data analysis and reporting. You can also specialise in fields like master data handling or cyber security.

• Completed undergraduate study from a public or officially recognized university/higher education institution (240 ECTS).
• Final grade of at least "Satisfactory" or grade C (as commonly used in the and Canada).

If you are lacking ECTS credits from your previous studies, you can demonstrate professional work experience for your online degree instead:

• To start a 60-ECTS MBA, you can “bridge” up to 60 ECTS by demonstrating 2 additional years of professional experience. This means you can access the One-Year programme already with 180 ECTS (if you prove one additional year of work experience) or 210 ECTS (if you can prove two additional years) from your previous studies.

Work Experience:

• At least one year of work experience before the start of the IU Master program (achieved after previous studies).

English Level:

• Proof of English skills
• If English is your native language or you graduated from an English-speaking school/university, you do not have to prove your English skills
• Speexx Certificate (complimentary when signing up with IU - free of charge)

Semester 1 – Modules

• Concepts in Data Management   
• Database Concepts and Technologies   
• Data Query Languages   
• NoSQL Databases   
• Seminar: Ethic & Societal Considerations in Data Management   
• Advanced Research Methods
  

Semester 2 - Modules

• Data Engineering   
• Big Data Technologies   
• Data Warehousing, Pipelines and Orchestration   
• Managing Data Projects   
• Seminar: Cloud Providers and Services   
• Project: Data Engineering
  

Semester 3 - Modules

• Programming with Python   
• Project: Data Analysis in the Cloud   
• Electives A   
• Electives B
  

Semester 4 - Modules

• Master Thesis & Colloquium
  

60 ECTS:

Semester 1 - Modules

• Concepts in Data Management   
• Database Concepts and Technologies   
• Big Data Technologies   
• Data Warehousing, Pipelines and Orchestration   
• Managing Data Projects   
• Advanced Research Methods
  

Semester 2 - Modules

• Seminar: Cloud Providers and Services   
• Electives   
• Master Thesis & Colloquium
  

Information about the start of studies

Online: Official start date 01.03.2022 (English, 120 ECTS)

Online: Official start date 01.09.2022 (English, 60 ECTS)

Information on state accreditation

Subject to state accreditation. We expect the Ministry's approval no later than the start of the programme. So far, all of our programmes have been successfully accredited and approved on time.