Introduction
Due to COVID-19, all lectures at IU International University of Applied Sciences will occur in a virtual classroom until further notice. We aim to ensure that the current special circumstances will not result in students being disadvantaged in their course of study.
Your degree, your way: 
We design our programmes and courses to be as flexible and innovative as possible—without sacrificing quality. We deliver specialist expertise and innovative learning materials as well as focusing on excellent student services and professional advice. With IUBH you can study on campus, online or combine both and switch between the two. Our distance learning materials allow you to gain an accredited degree from wherever you are and work around your job or personal commitments.
Prefer to study on campus? Get your real-life university experience at one of our two campuses in Germany and network with people from all over the world.
Why IU?
#1 University in Europe: Join Europe’s largest private university with more than 70,000 students
Maximum Flexibility: Study on campus, online or switch between the two options. You choose where you want to study. For online studies, you can pay your study fees in monthly instalments and do your online exams 24/7
Fully Accredited Degree: All our degrees benefit from German state accreditation and are internationally recognized in major jurisdictions such as the EU, US and UK
Study at a 5-star rated University from QS: IUBH is the first German university that achieved a 5-star rating for Online Learning from QS (www.topuniversities.com)
International Focus, Practical Orientation: We focus on practical training and an international outlook which gives IUBH graduates a decisive advantage: 94% of our graduates have a job within six months of graduation and, after an average of two years on the job, 80% move into management. Plus, we work closely with big companies such as Lufthansa, Sixt, and EY to give you great opportunities and insights.
Be a driving force in the global arena
As a subject, Computer Science is in a state of constant flux, as is evidenced by such increasingly relevant topics as Big Data and the “digital agenda”. Globalisation and digitalisation of business and society are leading to a high – and largely unmet – need for IT specialists.
In addition to other topics, there are bottlenecks among IT specialists with in-depth knowledge of cybersecurity. To a large extent, this high demand also arises from the fact that these are required not only in the IT industry but also in all user industries.
Facts & Figures
Degree:
Study model:
Duration:
Master of Science (MSc)
on Campus, Blended, Online
4 semesters
Intakes:
Tuition
Admission
Bad HonnefBerlin
from 25.990 Euro; full-time price on campus (online is 2000 euro less per semester with scholarships available)
Bachelor’s degree, placement test if necessary, proof of English language skills
What you will learn from us
The Master's programme in Computer Science prepares you optimally for a career in one of the most important domains of the future corporate world.
You will acquire the knowledge and skills required to design cybersecurity systems in development projects and IT infrastructures.
You will learn how to select the appropriate tools, processes, and algorithms for a variety of practical tasks.
Building on solid theoretical foundations in cybersecurity and cryptology, you will explore cutting-edge topics like quantum computing, blockchain theory, and more.
Course of study at a glance
1st Semester
Programming with Python
Software Engineering: Software Process
Advanced Mathematics
Advanced Statistics
Data Science
Project: Software Engineering
2nd Semester
Algorithmics
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 (Chooseonemodule out of 4: AdvancedCyber Security and Cryptology, Blockchain and Quantum Computing, IT Governance and Service Management, UI/UX Expert)
Elective B (Elective B (Chooseonemodule out of5: Data Engineer, Business Analyst, Technical Project Lead, Machine Learning and Deep Learning, Use Case Identification and Evaluation for Analytical Applications)
4th Semester
Master Thesis
How does the course of studies work?
For our two-semester Master’s you need a Bachelor's degree with 240 ECTS. If you already have relevant professional experience or take our TASC placement exam, a Bachelor's degree with 180 ECTS may also be sufficient.
Where you will be studying
You can pursue our Computer Science Master’s degree online or at the two German campuses in Bad Honnef and Berlin.
Entry Requirements
Academic Requirements:
Completed undergraduate study from a public or officially recognised university/higher education institution (240 ECTS).
If you have less than 240 ECTS on your university degree, begin your studies after having passed our admission test TASC.
A final grade of at least "Satisfactory" or grade C (as commonly used in the US and Canada).
Work Experience:
At least one year of work experience before the start of the IU Online Master programme (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.
The Career Office At IUBH from IU on Vimeo.
Career Possibilities
Data Engineer
As a data engineer, you take care of all processes to do with the generation, filing, processing, maintenance, and transferring of data. For this, the structure and surveillance of hardware and software infrastructure is crucial. The approach, purchase, as well as installation of all necessary components, is a key part of this. Above all, you, as a data expert, are responsible for the stability of the entire system, as well as the adherence to data protection and security protocols.
Software Developer in Data Science & AI
As a software developer, you develop and implement software – from individual building blocks all the way to complete applications. With your specialisation in Data Science and Artificial Intelligence, you can turn complex algorithms from the field into efficient software. In coordination with users from different specialised departments, you develop solutions for filing and evaluating large amounts of data and using this data to answer your users’ questions.
Data Security Specialist
As a security specialist in Data Science and AI, you are responsible for the security of available data, as well as securing the corresponding infrastructure and protecting it from both attacks and accidental damages. You, your colleagues from software development and IT, and users from the specialist department cooperate to eliminate risks and make corresponding preventative measures.
