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Master Full-time Part-time / German
Faculty of Electrical Engineering and Computer Science

Computer Science

Studierende bei Gruppenarbeit.
At a glance
Regular period
3 semesters as full-time studies, 5 semesters as part-time studies
Degree
Master of Science (M.Sc.)
Places
Winter:
unlimited
Apply till 07/15
Summer:
unlimited
Apply till 01/15
Fields of study
Artificial Intelligence
Robotics
Games
Requirements
Bachelor 6/7 semesters (180/210 ECTS) - grade 2.5 or better

In the Master's study program in Computer Science, you can further expand your skills from a completed Bachelor's study program in Computer Science. The in-depth profiles are:

  • Artificial Intelligence (AI)
  • Robotics
  • Games
Roboter nimmt Flasche.

What you can expect

  • As a full-time course in 3 semesters to a Master of Science . As a part-time course in 5 semesters, easily compatible with a parallel career
  • Work in small groups with intensive supervision
  • Research at the highest level and collaboration on scientific projects
  • State-of-the-art laboratories
Symbolbild Künstliche Intelligenz

Profile Artificial Intelligence

Artificial intelligence is the key to shaping the future. Companies worldwide, regardless of industry, are looking for experts in the field of AI. Our Artificial Intelligence profile offers you the opportunity to work in one of the most exciting and fast-growing areas of technology. This will give you access to a wide range of career opportunities in industry, research and even a PhD.

Here you will learn to analyze large amounts of data, apply machine learning and develop intelligent systems. This knowledge is continuously deepened through numerous applications in various internships.

In addition, our in-house Institute for Artificial Intelligence offers the ideal platform for you to work on exciting research projects, right through to a doctorate in this future-oriented field.

Important events of the profile are

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Gaming AI
  • Data Science

Contact person: Prof. Dr. rer. nat. Markus Schneider

Institut für Künstliche Intelligenz (IKI)

Profile Robotics

The Robotics profile is an exciting and versatile field of study that allows you to participate in the development of intelligent systems and autonomous robots. With broad application areas in industry, care, logistics and more, you will acquire interdisciplinary skills and be able to apply learning content from other courses to real-world problems. This focus prepares you ideally for a career as a robotics expert with many practical applications.

Our in-house robotics lab at the Institute of Artificial Intelligence allows you to demonstrate your skills on real autonomous mobile robots and even take part in international competitions.

Important events of the profile are:

  • Autonomous Robots
  • Intelligent Robotics
  • Robocup
  • Machine Learning
  • Computer Vision

Contact persons: Prof. Dr. rer. nat. Markus Schneider and Benjamin Stähle

3D Figur von Andreas Lorer

Profile Games

The Games profile cooperates with suitable degree programs. Here, designers, storytellers and computer scientists work hand in hand on joint projects. Important lectures in this profile are

  • Gaming AI
  • Computer Vision
  • Advanced Computer Graphics
  • Shader programming

Contact person: Prof. Dr. Daniel Scherzer

Dates

All events

Downloads

download Flyer Informatik M.Sc.
Alle Infos kompakt auf einen Blick.
Alle Infos kompakt auf einen Blick.
pdf (2 MB)
download Neue SPO Informatik M.Sc. gültig ab SoSe24
§34 der Studien- und Prüfungsordnung für die Masterstudiengänge - Fassung vom 30. November 2023
§34 der Studien- und Prüfungsordnung für die Masterstudiengänge - Fassung vom 30. November 2023
pdf (53 kB)
download SPO Informatik M.Sc. gültig bis SoSe24
§34 der Studien- und Prüfungsordnung für die Masterstudiengänge - Fassung vom 19. Januar 2023
§34 der Studien- und Prüfungsordnung für die Masterstudiengänge - Fassung vom 19. Januar 2023
pdf (74 kB)
download Modulhandbuch Informatik M.Sc. für das WiSe23/24
Ältere Modulhandbücher sind im QM Portal abgelegt.
Ältere Modulhandbücher sind im QM Portal abgelegt.
pdf (876 kB)
download SPO für die Masterstudiengänge der RWU - Fassung vom 29. Juni 2023
Studien- und Prüfungsordnung für die Masterstudiengänge mit Allgemeinem Teil - Diese Änderungssatzung tritt zum WiSe 2023/24 in Kraft
Studien- und Prüfungsordnung für die Masterstudiengänge mit Allgemeinem Teil - Diese Änderungssatzung tritt zum WiSe 2023/24 in Kraft
pdf (656 kB)
download Aktuelle Zulassungs- und Auswahlsatzung der RWU für Masterstudiengänge - gültig ab WiSe24/25
Satzung der Hochschule Ravensburg-Weingarten über die Regelungen zum Hochschulzulassungs- und –auswahlverfahren für Masterstudiengänge vom 21. März 2024
Satzung der Hochschule Ravensburg-Weingarten über die Regelungen zum Hochschulzulassungs- und –auswahlverfahren für Masterstudiengänge vom 21. März 2024
pdf (193 kB)

Further information

Curriculum
Curriculum Preview

Download curriculum

Profiles

Artificial intelligence

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Gaming AI
  • Data Science

ROBOTICS

  • Autonomous Robots
  • Intelligent Robotics
  • Robocup
  • Machine Learning
  • Computer Vision

Games

  • Gaming AI
  • Computer Vision
  • Advanced Computer Graphics
  • Shader Programming
Admission

Application deadline

For the winter semester: July 15

For the summer semester: January 15

Part-time study

The study program can be studied full-time, with the standard period of study being 3 semesters. In order to make it possible to combine studies with a career or family, it is also possible to study part-time in 5 semesters. Classes are held either on Thursdays and Fridays or on Mondays and Tuesdays.

Applicants from the same subject area

You will be admitted with a completed Diploma or Bachelor's degree in Computer Science with 180 or 210 ECTS. You need a total of 300 ECTS for the Master's degree in Computer Science. Missing ECTS can be achieved with electives.

You can apply for a place on the Master's course in the final semester of your Bachelor's degree. Further details can be found in the current version of the Ravensburg-Weingarten University of Applied Sciences statutes on general regulations for the university admission and selection procedure (see Admissions Office download area).

You will be admitted with an average grade of 2.5 or better. All applicants who meet the admission requirements will be admitted.

 

Applicants from other disciplines

Applicants with a Diplom or Bachelor's degree from another subject area will be admitted if they have completed the following core subjects:

  • Mathematics and Foundations of Computer Science (at least 25 ECTS)
  • Programming and Software Engineering (at least 20 ECTS)
  • Databases, operating systems and networks (at least 15 ECTS)

Bridging courses can be attended in order to acquire missing knowledge for admission. These are usually subjects from the Bachelor's degree course in Applied Computer Science.

Labs
3D Figur von Andreas Lorer

3D & Game Development

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Titelbild Robolab

Robolab

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News
Informaticup Profit

InformatiCup

RWU team qualified for the final

The InformatiCup is an annual programming competition. Four teams have now been invited to the finals in Hamburg - RWU is among them!

arr_right More

Contact & People

General contact details

Web links
On campus
Building T
Doggenriedstr. 42
88250 Weingarten
Postal address RWU Hochschule Ravensburg-Weingarten
University of Applied Sciences
Computer Science
P.O. Box 30 22
88216 Weingarten
Germany

Head of Study Program

Prof. Dr. rer. nat. Martin Zeller

Computer science, especially programming & software engineering
Head of study program of Applied Infomatics (Bachelor) and Computer Science (Master), Vice Dean of the Faculty of Electrical Engineering and Computer Science
Prof. Dr. rer. nat. Martin Zeller

Departmental Office

Edith Konstanzer

Office of Applied Computer Science, Computer Science/Electrical Engineering PLUS Teacher Training, Media Design, Computer Science

Professors

Prof. Klemens Ehret

Film, photography, presentation, usability
Head of study program and Advisor Media Design (Bachelor)
Prof. Klemens Ehret

Prof. Dr. rer. nat. Wolfgang Ertel

Artificial intelligence and machine learning
Prof. Dr. Wolfgang Ertel

Prof. Dr. Sebastian Mauser

Software Engineering
Vice Rector for Studies, Teaching and Quality Management
Prof. Dr. Sebastian Mauser

Prof. Dr. Daniel Scherzer

Computer graphics, games programming and design
Daniel Scherzer

Prof. Dr. rer. nat. Markus Schneider

Head of the Institute for Artificial Intelligence
Focus: Artificial intelligence, machine learning, intelligent robotics
Markus Schneider

Prof. Dr.-Ing. Thorsten Weiss

Embedded systems, mobile systems, apps
Head of study program of Computer Science/Electrical Engineering PLUS Teaching degree (Bachelor), Member of the Scholarship Selection Committee for the "Deutschlandstipendium"
Prof. Dr.-Ing. Thorsten Weiss

Prof. Dr. rer. nat. Martin Zeller

Computer science, especially programming & software engineering
Head of study program of Applied Infomatics (Bachelor) and Computer Science (Master), Vice Dean of the Faculty of Electrical Engineering and Computer Science
Prof. Dr. rer. nat. Martin Zeller

Employees

Dipl.-Ing. (FH) Matthias Bernhard

Research Assistant for Applied Computer Science (B.Sc.), Computer Science (M.Sc.), Media Design (B.Sc.)

Dipl.-Inf. (FH) Elias Drotleff M.Sc.

Wissenschaftlicher Mitarbeiter der Studiengänge Angewandte Informatik (B.Sc.) und Informatik (M.Sc.)

Dipl.-Ing.(FH) Erika Herzer

Wissenschaftliche Mitarbeiterin des Bachelorstudiengang Angewandte Informatik

Dipl.-Ing. (TH) Norbert Perk

Wissenschaftlicher Mitarbeiter der Studiengänge Angewandte Informatik (B.Sc.) und Informatik (M.Sc.)

Benjamin Stähle M.Sc.

Robotik, Künstliche Intelligenz, Robocup, Lehre, Administration
Stellv. Leitung Institut für Künstliche Intelligenz, Wiss. / Akadem. Mitarbeiter
Benjamin Stähle

Student Examination Office

Monika Huber

Student Examinations Office Faculty of Electrical Engineering and Computer Science, Student Administration Office
Study programs IO, IP, WB, WP, EMM, IN, MM, MW/DBM
Monika Huber

Dean

Prof. Dr. Bela Mutschler

Online marketing, search engine marketing, e-business
Dean of the Faculty of Electrical Engineering and Computer Science
Prof. Dr. Bela Mutschler