PROGRAM:

B.Eng. Data Science and Artificial Intelligence

MODE:
Full-time, On-site
LEVEL:
Bachelor of Engineering
LANGUAGE :
English
DURATION :
7 semesters
LOCATION:
Munich, Siemens Neuperlach Campus
PRICE:
4.800 € / Semester
START DATE:
October 2025
April 2026
SCHOLARSHIPS:
10% to 80% reduction on tuition fees.

The Bachelor of Engineering (B.Eng.) in Data Science and AI at MUDT is designed to equip students with the skills and knowledge to harness the power of data and artificial intelligence in the digital age. This comprehensive program covers essential concepts, tools, and techniques, enabling students to analyze complex data, develop machine learning models, and create AI-driven solutions. The curriculum is tailored to meet the growing demand for data professionals in various industries, preparing graduates for a successful career in a dynamic and evolving field.

Note: This program is being prepared for launch in October 2026

Specialisations

Specialisations

Robotics and Automation

Focuses on designing and programming robots to perform tasks autonomously.

Computer Vision

Deals with how computers can be made to gain understanding from digital images or videos.

Natural Language Processing

Concentrates on the interaction between computers and human languages, enabling machines to understand and process natural language.

Big Data Analytics

Involves processing and analyzing large datasets to uncover patterns, trends, and insights.

Machine Learning and AI

Focuses on developing algorithms that enable computers to learn from and make decisions based on data.

Why Data Science and AI at MUDT?

Cutting-edge curriculum reflecting the latest advancements in the field.

Experienced faculty who are leaders in their respective areas.

State-of-the-art facilities and modern labs.

Strong industry connections providing ample internship and collaboration opportunities.

Comprehensive education combining theoretical knowledge with practical experience.

Study Plan: B.Eng. Data Science and Artificial Intelligence

Below is a semester-by-semester breakdown of the study plan for the Data Science and AI program.

Semester 1 :
Building Core Competencies?
? ECTS

Mathematics (Calculus & Linear Algebra)

Scientific Working

Network and Internet Technologies

Software Applications and Technology

Basics of Programming with Python

Personal Development – Intercultural Communication

Foreign Languages I

Semester 2 :
Expanding Knowledge Base?
? ECTS

Basics of Database

AI and Machine Learning

Object-Oriented Programming

Operating Systems

Managing Projects and Tasks

Career Planning

Foreign Languages II

Semester 3 :
Specialized Foundations?
? ECTS

Software Engineering Techniques I

Probability and Statistics

Deep Learning

Elective I

Elective II

Personal Development – Teaming Up

Semester 4 :
Advanced Theoretical and Applied Knowledge?
ECTS

Data Mining & Data Warehouse

Natural Language Processing & Large Language Models

Big Data Analytics

Elective III

Elective IV

ESG and Sustainability

Semester 5 :
Deepening Specialization
? ECTS

Computer Vision

Computing

Reinforcement Learning

Elective V

Elective VI

Career Planning II

Semester 6 :
Practical Application
ECTS

Internship

Semester 7 :
Finalization and Career Readiness
ECTS

Bachelor Thesis

B.Sc. Seminar

Elective VII

Elective VIII

Business Ethics and Entrepreneurship

Qualification goals

01

Develop a strong foundation in engineering principles and practices.

03

Acquire the ability to analyze and interpret complex data.

02

Gain proficiency in programming and software development.

01

Master the core concepts of data science and AI, including machine learning, deep learning, and big data analytics.

03

Apply theoretical knowledge to real-world problems through internships and projects.

02

Develop skills in specialized areas such as NLP, computer vision, and robotics.

01

Enhance critical thinking and problem-solving skills.

03

Promote ethical considerations and social responsibility in the application of AI and data science.

02

Foster teamwork and collaboration through group projects and activities.

Salaries & Job Growth in Germany

Graduates with a Bachelor of Engineering in Data Science and AI can expect competitive salaries and strong job growth in Germany. Entry-level data scientists typically earn between €50,000 and €60,000 per year, while experienced professionals can earn upwards of €90,000.
{ Top Positions: } { Data Scientists } { AI Engineers } { Machine Learning Specialists } { Big Data Analysts }

Faculty Expertise:

Director of Executive Education

Christian A. P. Bartsch

Ewa Currie, M.A.

Dr. Arash Habibi Lashkari

Hashem Zarafat

Dr. Amra Abazi

Dr. Neslihan Ademi

Dr. Francisco Manuel Rangel Pardo

Dr. Jose Angel Gonzalez Barba

Soma Dutta, PhD

Dr. Franco Salvador

Prof. Ervin Domazet

Prof. dr. Jack Mochyla

Dr. Agnieszka Dziedzic

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:
or by completing a form:


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