Master degree

Germany

English

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  • Understand whether this program is the right one for your career goals.
  • Find out tuition fees for this program and general cost of living.
  • Find out the application deadline, requirements, and procedures.
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Overview

This field is fast changing, has its finger on today’s pulse, and has become the pacemaker for the digital society of the future. In IU’s Master in Computer Science, you continue your journey with a focus on data science, cyber security and artificial intelligence. Due to the unmet demand for experts on these topics, you’ll become a sought-after specialist who can operate in almost any sector. Your Master’s degree in Computer Science will give you all the skills you need to get started in the international job market. With IU, you can study 100% online, on campus, or switch between both with their new flexible studies option.

Two Degrees, Double the Advantage

IU International University of Applied Sciences (IU) has partnered with London South Bank University to give you the chance to have your degree validated by two institutions. When you choose this option, you’ll graduate from IU with both a German degree and a British degree, giving you a major career boost! This opportunity comes with no extra study courses or travelling.

Program Structure

1st semester

  • Programming with Python
  • Software Engineering: Software Process
  • Advanced Mathematics
  • Advanced Statistics
  • Data Science
  • Project: Software Engineering

2nd semester

  • Algorithms
  • Cyber Security and Data Protection
  • Seminar: Computer Science and Society
  • Artificial Intelligence
  • Big Data Technologies
  • Project: Computer Science Project

3rd semester

  • Seminar: Current Topics in Computer Science
  • Networks and Distributed Systems
  • Elective A

Choose one module out of 4:

  • Advanced Cyber Security and Cryptology
  • Blockchain and Quantum Computing
  • IT Governance and Service Management
  • UI/UX Expert
  • Elective B

Choose one module out of 5:

  • Data Engineer
  • Business Analyst
  • Technical Project Lead
  • Machine Learning and Deep Learning
  • Use Case Identification and Evaluation for Analytical Applications

4th semester

  • Master Thesis

Set your personal focus

In the third semester, you’ll choose two specialisations to the amount of 20 ECTS. You’ll choose one specialisation at a time from various fields. Some examples of possible elective modules are:

  • Advanced Cyber Security and Cryptology
  • Blockchain and Quantum Computing
  • IT Governance and Service Management
  • Machine Learning and Deep Learning
  • UI/UX Expert
  • Use Case Identification and Evaluation for Analytical Applications

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.