Computer Science | Artificial Intelligence

Machine Learning and Data Analytics

Selection Procedure

Numerus Clausus (N.C.)

Language

English

Degree

Master of Science, MSc

Duration of Study

3 semester (Full time)

Next start

WiSe 26/27

Closing date

15.03.2026

Zwei Studierende des Masterstudiengangs Machine Learning and Data Analytics unterhalten sich an einem PC

Apply Now

Advice & Contact

Highlights of the study program
What makes this degree programme special
Admission requirements
Career opportunities
Discover the Campus
Institutions & laboratories
Student Advisory Service, academic advising
Degree program coordinator
Secretary's office
Downloads
Further Downloads
Events and appointments, dates
News & Events

Selection Procedure

Numerus Clausus (N.C.)

Language

English

Degree

Master of Science, MSc

Duration of Study

3 semester (Full time)

Next start

WiSe 26/27

Closing date

15.03.2026

Jetzt bewerben

Studienangebot

Discover how patterns emerge from data, how algorithms understand the world and how you can create something new yourself through experimentation, analysis and a spirit of research.

1st year

2nd year

What makes this degree programme special

Further Studies

Take your knowledge from the Bachelor's degree program to an advanced course / specialty and take your skills to the next level.

Individual special fields

Take an advanced course / specialty in the topics that interest you and design your studies according to your own goals.

Personal supervision, counselling, support, mentoring

Small groups enable direct exchange and individual support throughout your Studies.

Admission requirements

To be able to study Machine Learning and Data Analytics at Aalen University of Applied Sciences, you need a first university degree qualifying you to enter a profession or an equivalent and English B2

More information

Daniel Hieber

Doctoral candidate, doctoral student at the University of Würzburg

In the field (of) Computational Pathology, I am working on the development of AI-supported processes, procedures. The combination of computer science and medical informatics opens up a wide range of research and design opportunities at the interface of technology and healthcare.