PROGRAM:

M.Eng. in Data Science & Artificial Intelligence

MODE:
Full-time, On-site
LEVEL:
Master
LANGUAGE :
English
DURATION :
3 semesters
LOCATION:
Munich, Siemens Neuperlach Campus
CREDITS :
90 ECTS
PRICE:
5.800 € / Semester
START DATE:
October 2026
SCHOLARSHIPS:
10% to 80% reduction on tuition fees.

The Master’s program in Data Science and Artificial Intelligence (AI) at MUDT is designed for ambitious students seeking to drive innovation in AI-powered systems. This interdisciplinary program offers a robust combination of advanced theory and applied skills in machine learning, data engineering, ethical AI, and emerging fields such as large language models (LLMs), computer vision, and generative AI.

Students will engage in real-world projects and thesis work in close collaboration with academia or industry, preparing them for cutting-edge roles in tech, business, and research.

The Master of Engineering in Data Science & Artificial Intelligence is planned to launch in October 2026 and is currently undergoing the accreditation process. Applications will open in October 2025, and you are welcome to apply starting from that date.

Why Study This Program at MUDT?

Industry-Driven Curriculum: Built in collaboration with AI experts and industry leaders.

Specialization in Emerging Tech: Deep dive into LLMs, responsible AI, causal inference, and more

Location Advantage: Study in Munich, a leading European tech hub.

Hands-On Projects: Collaborate with companies on real data and AI challenges.

Entrepreneurship Focus: Develop business-ready AI products with startup and innovation modules.

M.Eng. in Data Science & Artificial Intelligence

Semester 1 :
Core Theoretical Foundations
30 ECTS
  • Foreign Language – IT English
  • Personal Development: Intercultural Communication
  • Advanced Data Engineering
  • Advanced Machine Learning
  • Deep Learning Architectures & Applications
  • Elective I
  • Elective II
Semester 3 :
Specialization & Advanced Applications
30 ECTS
  • Foreign Language – IT English
  • AI Project Management & Entrepreneurship
  • Advanced Statistics & Mathematics for AI
  • Natural Language Understanding & LLMs
  • AI for Decision Making (Reinforcement Learning & Causal Inference)
  • Elective III
  • Elective IV
Semester 5 :
Thesis & Industry Focus
30 ECTS
  • Master’s Thesis (Research or Applied)
  • Internship

Sample Electives (Choose 2+)

  • Computer Vision for Real-World Applications
  • Human-Centered AI & UX Design
  • Data Privacy and Security in AI Systems
  • Robotics and Embedded AI
  • Big Data Analytics & Business Intelligence
  • Generative AI & Creativity
  • AI in Healthcare
  • Graph Neural Networks & Knowledge Graphs

Qualification Goals

1

Design and deploy advanced AI models, including deep learning and LLMs

2

Build scalable data pipelines and handle large, complex datasets

3

Evaluate AI systems for fairness, bias, and societal impact

4

Lead data science and AI projects from ideation to deployment

5

Conduct independent research or applied thesis work

6

Communicate findings to both technical and non-technical audiences

Career Opportunities, Salaries & Job Growth in Germany

Germany is experiencing explosive growth in AI and data science roles across industries such as healthcare, automotive, finance, robotics, and sustainability. With an M.Sc. in Data Science and AI from MUDT, graduates can pursue roles like:

- Data Scientist / AI Engineer
- Machine Learning Specialist
- Big Data Analyst / Data Engineer
- AI Product Manager
- NLP / LLM Researcher
- Startup Founder / Tech Consultant

The demand for AI talent in Germany is expected to grow by over 25% annually, driven by digital transformation, Industry 4.0, and EU-backed AI investments.

{ Entry-level: €55,000–€70,000/year } { Mid-career: €75,000–€95,000/year } { Senior/Lead Roles: €100,000+ }

Industry Cooperation

Faculty Expertise:

Meet our esteemed faculty members who bring a wealth of experience and expertise in cyber security, ethical hacking, and threat intelligence. Learn from industry practitioners dedicated to shaping the next generation of cyber security professionals.
BIO

Ewa Currie, M.A.

BIO

Dr. Arash Habibi Lashkari

BIO

Hashem Zarafat

BIO

Khaleeq Aziz

BIO

Dr. Amra Abazi

BIO

Dr. Neslihan Ademi

BIO

Dr. Francisco Manuel Rangel Pardo

BIO

Dr. Jose Angel Gonzalez Barba

BIO

Dr. Marc Franco Salvador

BIO

Dr. Soma Dutta

BIO

Prof. dr. Jack Mochyla

BIO

Dr. Agnieszka Dziedzic

BIO

Prof. Dr. Pawel Gburzynski

How to apply

1

Submit Your Application:

Create an account, select your study program, and upload the required documents. We’ll confirm once everything is submitted.
2

Pass the Interview:

If your documents are approved, you'll be invited to an online interview. Succeed, and you'll receive a conditional acceptance.
3

Sign and Pay:

Return the signed study contract and complete the enrollment fee and deposit to secure your spot

Receive Your Admission Letter
Congratulations, you’re in!

Do you have
any questions?

Our study advisory team will be happy to arrange an individual consultation, by:
+49 152 593 597 22 [email protected]
or by completing a form: