Master (MSc) Computer Science in Germany

Program Overview

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Master (MSc) Computer Science in Germany

Overview

Elevate your tech expertise and immerse yourself in the thriving digital landscape with our accredited Master's in Computer Science in Germany. At IU International University of Applied Sciences, you’ll experience an optimal blend of online and on-campus learning, designed to deepen your scientific knowledge and technical skills.

Study Contents

The Master's in Computer Science programme at IU has been meticulously designed to equip you with next-gen technological expertise, ensuring you stay at the forefront of innovation in the ever-evolving digital landscape. Our curriculum is up to date with industry requirements and encapsulates a blend of theoretical concepts and hands-on exposure.

Semester 1

• Master the dynamic language Python.
• Gain in-depth knowledge of software processes.
• Dive into advanced mathematics and statistics.
• The foundation built in this semester will enable you to grasp complex algorithms easily and effectively analyze big data.

Module | ECTS credits ---------|------------- Programming with Python | 5 Software Engineering: Software Processes | 5 Advanced Mathematics | 5 Advanced Statistics | 5 Data Science | 5 Project: Software Engineering | 5

Semester 2

• Explore advanced algorithmics.
• Learn about cyber security and data protection.
• Understand the role of AI in today's industries.

By the end of this semester, you will be equipped to handle security threats and use AI in problem-solving.

Module | ECTS credits ---------|------------- Algorithmics | 5 Cyber Security and Data Protection | 5 Seminar: Computer Science and Society | 5 Artificial Intelligence | 5 Big Data Technologies | 5 Project: Computer Science Project | 5

Semester 3

• Delve deep into distributed systems and networks.
• Choose two electives to broaden your skills in your preferred domain.

The skills acquired at this stage prime you for a successful career in niche technology domains.

Module | ECTS credits ---------|------------- Seminar: Current Topics in Computer Science | 5 Networks and Distributed Systems | 5 Electives A | 10 Electives B | 10

Semester 4

• Work on your Master’s thesis.

Upon completion, your robust technical knowledge base will position you to conquer technical challenges in the dynamic digital industry.

Module | ECTS credits ---------|------------- Master Thesis | 30

Electives Overview

Our elective pool allows you to personalize your curriculum, choosing modules that best mirror your career goals. Whether it's advanced cyber security, quantum computing, or deep learning - tailor your learning journey with IU to your preferred specialization.

Module | ECTS credits ---------|------------- Electives A: Advanced Cyber Security and Cryptology | 10 Blockchain and Quantum Computing | 10 IT Governance and Service Management | 10 UI/UX Expert | 10 Electives B: Data Engineer | 10 Business Analyst | 10 Technical Project Lead | 10 Machine Learning and Deep Learning | 10 Use Case Identification and Evaluation for Analytical Applications | 10 Internship | 10

Career

The digital sector in Germany is strong and ever-expanding, making it an exciting place for computer science master's graduates. Ranked as one of Europe's top technology hubs, Germany has an insatiable demand for savvy tech graduates across emerging and established tech domains. Specifically, areas like artificial intelligence, big data, cyber security, and software engineering are teeming with opportunities.

Cyber Security Analyst

As a Cyber Security Analyst, you'll work as the frontline defense against potential security threats. Your role will encompass identifying and mitigating risks, monitoring system activity, and implementing necessary protection measures. A strong grasp of cryptography, network security, and advanced systems is essential for success in this role.

Data Scientist

As a Data Scientist, you possess the analytical knowledge to glean insights from raw data. You will cleanse, integrate, and analyze big data sets to inform business strategies. Your expertise in statistical modeling and predictive analytics makes you an invaluable asset to a broad range of industries.

Artificial Intelligence Specialist

As an Artificial Intelligence Specialist, you're at the forefront of emerging technologies, designing and implementing intelligent systems. You'll utilize your skills in machine learning, deep learning, and predictive modeling to optimize business processes, automate tasks, or build new product features. This role is pivotal in the current digital transformation age.

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: 24 Months

Participate in real-time tutorials with tutors and a small group of students, while still having maximum flexibility to combine work and studies.

Tuition Fees: 556€ (530€ per month)

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 recognized, and complete your studies at IU sooner.

Admission Requirement

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

General admission requirements

• Completed, undergraduate degree with 180 ECTS credits with a focus on Computer Science or computer-related subjects
• Your degree must be from a state or state-recognized higher education institution/university
• You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree

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)

Proof must not be older than five years.

Alternative ways to prove your English language skills:

• Educational background: If your previous studies were conducted in English, you are exempt from providing an official test. Simply submit your high school or university transcripts indicating that English was the language of instruction, or provide a medium of instruction letter. Note: A high school medium of instruction letter is valid for five years, while a university-issued one has no expiration date.
• If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.