Master Courses

Our M.Sc. in Computational Science and Engineering is a cooperative program of the Ulm University and the Ulm University of Applied Sciences. Therefore, lectures take place both at Ulm University and at Ulm University of Applied Sciences.

The courses in the masters program Computational Science and Engineering are taught in German and English. There is a very extensive selection catalog that is updated continuously. Students can choose their lectures there. Here, the modules taught in English can be choosed.

For an overview of our lectures in German please use the German version of this site.

Unregularly Offered Courses

Module No. Module Title
Click for Module Description
ECTS Language Location
70137 Time Series Analysis 6 GE/EN UU
74645 Deep Vision - Deep Learning and Convolutional Neural Networks in Computational Vision 6 EN UU
76032 Introduction to Numerical Fluid Mechanics 4 EN UU
75145 Elements of Statistical Learning 4 EN UU
74004 Gene Expression 3 EN UU
74100 Model Driven Software Engineering 6 EN UU
71865 Vision in Man and Machine 6 EN UU

Seminars on changing topics

Within our M.Sc. in Computational Science and Engineering, seminars on the subject area of Applied Mathematics as well as in the area of Computational Science and Engineering from a wide range of topics are offered each semester. The examination (graded) is based on the preparation and presentation of a scientific topic and is credited with 4 ECTS. The language of the presentation can be English or German.

The concrete titles and topics of the seminars are usually not fixed until shortly before the beginning of the semester. But we regularly offer seminars on the following main topics (you can use these generic titles when preparing your Learning Agreement):

Master Seminars from the field of Applied Mathematics

Seminar Title ECTS Language Location
Seminar Algebra and Number Theory 4 GE/EN UU
Seminar Applied Graph Theory 4 GE/EN UU
Seminar Financial Mathematics 4 GE/EN UU
Seminar Numerics 4 GE/EN UU
Seminar Optimization 4 GE/EN UU
Seminar Pure Graph Theory 4 GE/EN UU
Seminar Statistics 4 GE/EN UU
Seminar Stochastic Geometry und its Applications 4 GE/EN UU
Seminar Analysis 4 GE/EN UU
Seminar from the field of Applied Mathematics 4 GE/EN THU

Master Seminars from the field of Computational Science and Engineering

Seminar Title ECTS Language Location
Seminar Algorithmcs 4 GE/EN UU
Seminar Big (Social) Data Analytics 4 GE/EN UU
Seminar Business Analytics 4 GE/EN UU
Seminar Research Trends in Data Centre Operation 4 GE/EN UU
Seminar Research Trends Information Systems 4 GE/EN UU
Seminar Research Trends in Software Engineering 4 GE/EN UU
Seminar Pattern Recognition 4 GE/EN UU
Seminar Neural Information Processing 4 GE/EN UU
Seminar Trends in Applied Artificial Intelligence, Machine Learning and Deep Learning 4 GE/EN UU
Seminar Biomechanics 4 GE/EN UU
Seminar from fields of Computational Science and Engineering 4 GE/EN THU*

*The Seminar from fields of Computational Science and Engineering is a course offered by Ulm University of Applied Sciences where also seminars with topics on applied mathematics, computer science and mechanical engineering.

Contacts Computational Science and Engineering

Beate Mayer
Academic Advisor for study program Computational Science and Engineering

Helmholtzstraße 20 , Room 1.24

E-Mail: international.cse(at)uni-ulm.de

Prof. Dr. Karsten Urban
Erasmus+ Coordinator

Helmholtzstraße 20 , Room 1.12
E-Mail: karsten.urban(at)uni-ulm.de

INFO

EN = Teaching Language is English
GE = Teaching Language is German

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INFO

THU = Ulm University of Applied Sciences

UU = Ulm University

Please note:
  • In order to attend Master-level courses, students should have successfully completed at least 3 years of study (approx. 180 ECTS) in the field of study of the Erasmus agreement.
  • All students must meet the language and academic requirements of any given course.
  • Exceptions may be granted to students in their final Bachelor year, if the home university confirms that this mobility window is offered explicitly for students to take Master courses.