Master (MSc) Computer Science with Data Science in Germany

• 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 a 15-minute online interview conducted 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 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.

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, 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.