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Students
Tuition Fee
EUR 720
Start Date
2025-10-01
Medium of studying
On campus
Duration
18 months
Program Facts
Program Details
Degree
Masters
Major
Business Administration | Data Management | Data Science
Area of study
Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 720
Intakes
Program start dateApplication deadline
2025-10-01-
2026-01-01-
2026-04-01-
About Program

Program Overview


MBA Big Data Management in Germany

Overview

Our MBA Big Data Management in Germany at IU International University of Applied Sciences is designed to equip you with the skills you need to harness the power of data and drive strategic decision-making. Join us today!


Study Contents

Our MBA Big Data Management in Germany encapsulates a comprehensive understanding of big data and its significant role in strategic decision-making. Let IU prepare you for a future where your decisions and strategies become game-changers in businesses globally.


Semester 1

  • Leadership (5 ECTS credits)
  • Innovation and Entrepreneurship (5 ECTS credits)
  • Corporate Finance (5 ECTS credits)
  • International Marketing (5 ECTS credits)
  • Managerial Economics (5 ECTS credits)
  • Performance Measurement (5 ECTS credits)

Semester 2

  • Strategic Management (5 ECTS credits)
  • Business Ethics and Corporate Governance (5 ECTS credits)
  • Operations and Information Management (5 ECTS credits)
  • Big Data (10 ECTS credits)
  • Data Science and Analytics (10 ECTS credits)

Semester 3

  • Capstone Project Thesis & Defence (25 ECTS credits)

Career

The demand for Big Data professionals is growing in Germany, and as a graduate of our MBA Big Data Management in Germany, you will be prepared to capitalise on this opportunity. Big Data Management experts enjoy growth potential and lucrative salaries with jobs in prestigious firms.


Data Scientist

As a Data Scientist, you'll make sense of vast pools of structured and unstructured data. Your job will involve mining data, creating algorithms, devising analytics models, and making predictive models to help organisations make data-driven decisions.


Big Data Analyst

As a Big Data Analyst, your primary responsibility is to translate complex data into understandable insights. You will help businesses understand trends, patterns and correlations that can drive strategic business decisions and improvements.


Big Data Architect

As a Big Data Architect, you'll be responsible for designing, structuring, and maintaining the data management systems of an organisation. You'll create blueprints for data management systems to integrate, protect, maintain, and nurture data sources.


Fees

At IU, we believe in full transparency – so there are no hidden fees. You only pay for your tuition and the one-time campus registration fee of €1,500.


FULL-TIME

  • Duration: 18 Months
  • Tuition Fees: 755€/month (720€/month with scholarship)

Recognition of previous achievements

Have you already completed a training course, studied at a university or gained work experience? Have you completed a course or a learning path through IU LinkedIn Learning, and earned a certificate? Then you have the opportunity to get your previous achievements recognised, and complete your studies at IU sooner.


Admission Requirement

You can start your desired study programme at IU International University of Applied Sciences if you meet the requirements.


General admission requirements

  • Completed, undergraduate degree with 180 ECTS credits
  • Your degree must be from a state or state-recognised higher education institution/university
  • You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree
  • Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies

Work experience

  • Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).

English language skills

  • We accept the following English language skills certificates:
    • TOEFL (minimum 80 points)
    • IELTS (minimum Level 6)
    • Duolingo English Test (minimum 95 points)
    • Cambridge Certificate (minimum Grade B)

FAQs

What are the admission requirements for the MBA in Big Data Management in Germany?

Admission requirements vary across universities. Generally, an undergraduate degree is a must, often accompanied by a certain duration of work experience. English proficiency is also required for international students. Specifically, at IU, we value practical experience, therefore, a certain period of prior job experience is a plus.


What career prospects exist after completing an MBA in Big Data Management in Germany?

Post completing your MBA in Big Data Management in Germany, multiple avenues open up. You could find employment in sectors such as technology, finance, or retail. Roles like Data Scientist, Big Data Analyst, or Data Architect are among the popular options. Germany, being a technology hub, offers significant opportunities to big data professionals.


What is the average salary for graduates with an MBA in Big Data Management in Germany?

An MBA in Big Data Management in Germany could prove quite financially rewarding. While the exact salary depends on the sector, role, and experience, an average annual salary ranging from €65,000 to €100,000 is expected. Particularly in Germany, where there is a significant demand for Big Data professionals, the salary prospects are favourable.


How long is the duration of the MBA in Big Data Management programme in Germany?

Traditionally, an MBA programme lasts for two years. However, at IU, we understand that every student's circumstances and needs are different. Therefore, our study model incorporates flexibility, allowing students to graduate in as little as 12 months or extend their studies over a longer period if needed.


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