## Start your MSc Computer Science with Data Science in Germany at IU

Pursue your Master’s in Computer Science with a specialisation in Data Science in Germany and benefit from the combination of Germany’s strong tech ecosystem and IU’s internationally recognised academic standards. This programme will give your skills and career prospects a major boost.

- Focus on advanced data science techniques, including predictive modelling, big data analytics, and applied data-driven solutions.

- Build a holistic and in-depth understanding of computer science, with a special emphasis on data analysis and computational methods.

- Attend career-oriented face-to-face classes, supplemented by self-study with our digital tools, for a hands-on experience.

- Earn a degree from a German state-accredited university, giving your qualification international value.

Want to know more?

Download our free brochure for more details on:

- Admission & financing options

- Study content & modules

- Specialisation options

- Career prospects as an IU graduate

Request Free Information

### BOOST YOUR CAREER PROSPECTS

Gain practical experience, build professional networks and launch your career in Germany and beyond

### STATE ACCREDITED & INTERNATIONALLY AWARDED

Join 130,000+ students from over 190 countries and earn a German state-accredited Master's degree

### CUTTING-EDGE PROGRAMMES

Study on campus in English with experienced professors, supported by state-of-the-art learning tools

Overview

## Your degree summed up

### Degree programme

M.Sc., 120 ECTS credits

Language

English

Mode of study

On Campus: Cologne

Specialisation

Data Science

### Tuition fees

Tuition fees
Check out the fees for more information

Online application

No application fees

### Study duration

Study start
October or April

Duration
24 months

### Accreditation & recognition

Your degree is accredited in Germany and recognised in many countries worldwide

Specialisations

## Gain practical experience and build specialist expertise

Not sure if a specialisation is right for you? With the Master of Science in Computer Science, you can graduate with a comprehensive set of skills across the field all while opting for an internship or add specialist expertise in Artificial Intelligence, Business Analytics, or Data Science - choose the path that fits your ambitions.

### MSc Computer Science with AI

Broaden your expertise in applied AI by mastering techniques in computer vision, natural language processing, machine learning and deep learning to develop intelligent systems capable of interpreting data, automating tasks and solving complex real-world challenges.

Visit programme page

### MSc Computer Science with Business Analytics

Improve your ability to make data-driven decisions by mastering business intelligence methods, modern database technologies and governance frameworks. Learn how to design scalable analytical systems that transform operational data into strategic value.

Visit programme page
Study Contents

## MSc Computer Science with Data Science curriculum

The Master’s in Computer Science with a specialisation in Data Science at IU has been carefully designed to equip you with the next generation of analytical and computational expertise, keeping you at the forefront of innovation in today’s data-driven world. Our up-to-date curriculum combines theoretical foundations with hands-on experience, fully aligned with industry needs. Here’s what you will gain:

- In-depth knowledge of machine learning and data engineering techniques for building scalable, data-driven solutions.

- Advanced skills to solve complex computational and analytical problems using real-world datasets.

- Practical proficiency in data engineering workflows, programming with Python, and project-based analytics applications.

- Expertise in explainable and interpretable machine learning models, enabling you to apply AI responsibly and transparently in business contexts.

### Compulsory modules

- Advanced Mathematics

- Algorithmics

- Cyber Security and Data Protection

- Seminar: Computer Science and Society

- Software Engineering: Software Processes

- Programming with Python

- Data Science

- Big Data Technologies

- Advanced Statistics

- Artificial Intelligence

- Project: Software Engineering

- Networks and Distributed Systems

- Project: Computer Science Project

- Seminar: Current Topics in Computer Science

- Master's thesis

- Colloquium on the master's thesis

### Specialisation in Data Science

- Machine Learning

- Data Engineering

- Project: Data Engineering

- Explainable and Interpretable Machine Learning Models

You can find more details about the programme in our Module Handbook and Course Schedule, which you can access via the following links:

##### Explore More

#### Module Guide

##### All courses

#### Course schedule

## Start your career in Germany

### Cologne campus

- Immerse yourself in a city surrounded by leading employers in the healthcare, automotive, technology, and media sectors. Cologne provides outstanding opportunities for networking, internships, and career development.

- Enjoy the advantage of studying in Cologne, right on the banks of the Rhine River. You will benefit from an excellent public transport system, making it easy to navigate both the city and the wider European region.

Explore Cologne Campus

## In-person and AI support whenever you need

- Benefit from in-person teaching and direct support from lecturers.

- Attend classes on campus and engage with classmates, creating a collaborative learning environment that supports your academic journey.

- Enhance your learning with Syntea, IU’s AI-powered tutor, available 24/7 to support your studies and exam preparation - combining the best of personal and AI-driven education.

Career

## Your career opportunities with a specialisation in Data Science

Germany’s rapidly growing digital economy offers excellent opportunities for graduates of a Master’s in Computer Science with a specialisation in Data Science. As one of Europe’s leading tech hubs, Germany shows strong demand for professionals who can analyse and leverage data to drive innovation, optimise processes, and support strategic business decisions. Expertise in data engineering, machine learning, and advanced analytics is particularly sought after across industries.

### Analytics Consultant

Support organisations in applying data-driven methods to solve business challenges, optimise operations and make informed, strategic decisions.

### Business Data Analyst

Identify trends and patterns in business datasets by analysing them, and create actionable insights that inform strategic and operational decisions.

### Data Engineer

Ensure the effective collection, storage and processing of large volumes of business data by building and maintaining robust data pipelines and infrastructure.

Fees

## On campus study model and fees for your Master degree in Computer Science with Data Science

At IU, we believe in transparent pricing. Beyond your tuition, you'll pay:

- One-time campus registration: €1,500

- Semester ticket: €208.80/semester

- Student association fee: €113/semester (only applicable to students in Berlin)

There are no additional fees for graduation, administration or other services.

Pay Semesterly
17% programme discount included. Most flexible payment schedule.

€20,000

€16,600

€4,150 per semester
Apply Now
Pay Yearly
17% programme discount included. Extra 2% for paying yearly.

€20,000

€16,268

€8,134 per year
Apply Now
Pay in Full
17% programme discount included. Extra 5% for paying in full.

€20,000

€15,770

€15,770 one-time
Apply Now

## Do you have any questions?

Visit our FAQ page or get in touch with our Study Advisors.

MESSAGE US ON WHATSAPP NOW
+49 30 311 937 71
*Available Mo-Fri 07-19h CET
WRITE AN EMAIL
Already have experience or prior learning? Get it recognised at IU!

Save time by skipping modules or even whole semesters.
We’ll check your achievements 100% online and for free—no commitment needed. Ask your study advisor or contact recognition-online@iu.org for your application form today!

Recognition documents
Admission requirements

## Entry requirements

You can start your desired study programme at IU International University of Applied Sciences if you meet the requirements. It is important to note that students from India, China and Vietnam require the APS certificate to validate their academic documents. Make sure to check if you need it here.
The admissions documents must be provided in English or German; a translation is required if not issued in one of these two languages. If you need to translate your documents, we can help by referring you to our trusted translation partners. You can find more detailshere
.

- 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-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

Once your application and documents are submitted, you will be invited to a15-minute online interviewconducted by our admission team. During the interview we will discuss your academic background, reasons for pursuing further study, and career objectives.

The interview is a required component of the eligibility check for international applicants. If you miss your interview, the invitation will be sent again to allow you to schedule a new appointment. You may reschedule the interview up to three times. After the third invitation, and if there is no attendance, IU will assume you are no longer interested.

If the interview is not passed, admission screeners will review the reasons and provide recommendations for next steps. For example, if the reason is related to English skills, the team may suggest registering for an English course or improving conversation skills. Applicants may contact IU when they wish to retake the interview, at which point the application can be reactivated.

We accept the following English language skills certificates*:

- IELTS (at least 6.5 points)

- TOEFL IBT (at least 90 points)

- Cambridge certificate (B2 First with min. score of 176)

*Proof must not be older than two years.

Alternative ways to prove your English language skills:

- Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.

Get in touch with our study advisors for more details.

IU’s English language requirements may differ from those set by your Embassy for visa applications. For your student visa application, you must follow the requirements specified by your local Embassy.

FAQs

## FAQs on your Master in Computer Science with Data Science in Germany

Yes! With a specialisation in Data Science, you will gain the analytical, statistical, and programming skills needed to work in data-driven roles, including data analysis, business analytics, and applied data science. While a dedicated MSc in Data Science is more narrowly focused, the MSc in Computer Science with Data Science also equips you to enter the data science field, with the added flexibility to pursue other advanced computing roles.

An MSc in Data Science is highly specialised, focusing almost exclusively on data analysis, machine learning, statistical modelling, and big data technologies. In contrast, an MSc in Computer Science with a specialisation in Data Science combines the broad foundation of computer science - covering programming, algorithms, software engineering, and computational thinking - with focused data science modules. This gives you a wider skill set, enabling you to apply data science techniques in software development, systems design, and other advanced computing domains.

No, choosing a specialisation is optional. You can complete the programme without specialising by selecting the non-specialisation track. In this case, you can either select additional elective modules or undertake a practical internship.

Definitely! Earning a Master's in Computer Science in Germany will earn you a globally recognised degree and open doors to numerous career opportunities within the robust German tech industry. At IU, our Master's programme in Computer Science is designed to provide students with a blend of theoretical knowledge and practical experience, developing their skills and preparing them for careers in technology.

If you are applying for a Master's in Computer Science in Germany, you will need to submit an application to your chosen university, along with the necessary documents, such as academic transcripts, proof of language proficiency (if the course is taught in English) and a copy of your passport. At IU, however, the process is simplified by an easy-to-navigate online application portal, and Study Advisers are on hand to guide you through it.

The cost of studying for a Master's degree in Computer Science varies between German universities and programmes. At IU, we are committed to providing a high-quality, affordable education to ensure that the financial side of your studies does not become a burden.

As an M.Sc. Computer Science graduate in Germany, you can expect strong earning potential in a growing tech industry. The average annual salary
is around €57,500, with most roles ranging from €50,250 to €65,000 depending on position and experience. An IU International master’s degree strengthens your qualifications and opens doors to higher-income career opportunities.

Pursuing a Master's degree in Computer Science in Germany offers international students significant advantages:

- High-quality education in a tech hotspot: Germany is renowned for its role at the forefront of technology, and is a hub for engineering, research and development. At IU, you'll benefit from high-quality education to German standards and the chance to explore and network in one of the world's most exciting tech markets!

- English-taught programmes: Catering to a global audience, IU offers all programmes entirely in English, eliminating language barriers for international students.

- Affordable education: Studying in Germany is relatively affordable compared to many other countries, as public universities often charge little to no tuition fees. This makes Germany an economically attractive study destination. As a private university, IU is committed to making high-quality education accessible by offering competitive tuition fees compared to other private institutions.

- Industry Connections: Germany’s strong ties with national and international companies provide computer science students with unparalleled internship and collaborative project opportunities, facilitating practical experience and career placement.

- Opportunities in a strategic location: Germany's central European location provides a strategic advantage for students to secure placements in leading tech hubs across the continent.

## This is what our students say

> What I liked most about the education at IU was the diversity – not only the different people, but also the diversity in the lectures we had.

Sarah Geissler

Graduate

## Award-winning education at IU