Master (MSc) Data Science

• Degree Programme: M.Sc. 60 ECTS credits
• Language: English
• Mode of Study: On campus in Germany
• Accreditation: Accredited in line with German and European standards
• Recognition: Your degree is Internationally recognised and can easily be transferred to another country
• Study Duration: 12 months

Our M.Sc. Data Science in Germany is designed for those who aim to transform complex data into actionable insights. This programme balances theoretical knowledge with real-world application to equip students for impactful careers.

This programme will train you to:

• Employ advanced statistical methods for data analysis.
• Design and implement machine learning projects.
• Navigate the technologies that drive big data management.

By the end of your course, you’ll possess:

• Expertise in machine learning systems.
• Proficiency in applying deep learning techniques.
• Skills in leading data-driven projects.

Semester 1

1. Advanced Statistics — 5 ECTS
2. Use Case and Evaluation — 5 ECTS
3. Seminar: Current Topics in Data Science — 5 ECTS
4. Machine Learning — 5 ECTS
5. Deep Learning — 5 ECTS
6. Case Study: Model Engineering — 5 ECTS

Semester 2

1. Electives — 10 ECTS
2. Master Thesis — 30 ECTS

Elective A

1. Big Data and Software Engineering — 10 ECTS
2. Smart Manufacturing Methods and Industrial Automation — 10 ECTS
3. Applied Autonomous Driving — 10 ECTS
4. AI and Mastering AI Prompting — 10 ECTS

With this programme, you’ll have access to human and AI-powered tutoring.

Your tutors will be available to answer any questions, and you’ll have recurring appointments where you can discuss course topics with them and other students.

Syntea, IU’s AI-powered tutor, will be available 24/7 to guide you through your courses and prepare you for exams.

Study your way, and master working with AI at the same time.

Machine Learning Engineer

In this role, you'll design, build, and deploy machine learning models at scale. This encompasses transforming raw data into machine learning-ready datasets, model training, and operational deployment. Machine learning engineers are essential in crafting future-ready solutions that power AI-driven applications.

Big Data Analyst

Working with immense data sets, you'll extract valuable insights to inform business strategies. You'll utilize advanced analytical tools to identify patterns and contribute to data-driven decision-making. Big data analysts are crucial for organisations aiming to leverage insights for competitive advantage in Germany’s dynamic market.

Data Scientist

As a data scientist, you'll analyze complex datasets to drive strategic decision-making. This involves creating predictive models and interpreting trends that provide actionable insights. In Germany, data scientists are pivotal in helping organizations optimize operations and innovate products.

General admission requirements

• Completed undergraduate degree from a public or officially recognised university/higher education institution.  
• You will need to have 180 ECTS credits.  
• You must have achieved a final grade of at least “satisfactory” or Grade C equivalent in your previous undergraduate degree 
• Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies.

Admission Interview

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.

Additional specialist knowledge

To qualify for admission, your undergraduate degree must include modules in Advanced Mathematics, Programming with Python, Statistics and Computer Science.

Work experience

• Proof of at least one year’s qualified work experience completed prior to the start of the study programme (the work experience must be gained after the completion of your undergraduate studies).
• You can provide us a translation of your employment contract and your pay slip or you can ask your company to fill out this form in English, sign it, apply the company stamp and send it to us

English language skills

• IELTS (at least 6.5 points)
• TOEFL IBT (at least 90 points)
• Cambridge certificate (B2 First with min. score of 176)
• Citizenship: If you are from a country where English is the official and educational language, your passport can serve as proof of English proficiency.