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Short profile

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Graduation
Bachelor of Science
Restrictions on admission-Icon
Restrictions on admission
none
Standard period of study-Icon
Standard period of study
6 semester
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Start of studies
October 1
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Basic internship
none
Credit points-Icon
Credit points
180
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Teaching language
German

Application with German certificates

Application with foreign certificates

Description

Computer science is the science of the systematic processing of information, in particular the automatic processing with the help of computer systems. Historically, computer science has developed as a science out of mathematics, while the development of the first computer systems has its origins in electrical engineering and communications engineering. Nevertheless, computers are only a tool and medium of computer science to put theoretical concepts into practice.

The university studies of computer science convey the basic knowledge, the methodological skills and the competences that prepare computer scientists for their versatile tasks. The focus of the six-semester bachelor's programme is the teaching of scientific/technical competence in the classic subject areas of computer science. Disciplines such as theoretical basics, professional programming, software engineering, databases, operating systems and computer architectures are in the foreground. The choice of a minor subject and a specialisation area offers the opportunity to set one's own thematic focus in the course of study according to personal interests.

A successful study leads to the professional qualification "Bachelor of Science". It qualifies for the Master's degree course that builds on this.

 

Content of study

Fundamentals of computer science and programming (e.g. computer organization, computer architectures, algorithms and programming, programming paradigms)

14 %

Mathematics (e.g. mathematics and stochastics for computer science, discrete structures)

14 %

Practical information (e.g. software development, databases, operating systems, telematics, computer graphics, software project)

17 %

Theoretical Computer Science (e.g. communication models, algorithms and structures, logic)

14 %

Optional courses (e.g. automata theory, computational intelligence, system and network security, mobile communication, embedded systems)

14 %

Minor (e.g. biomedical engineering, information and communication technology, media technology, mathematics, economics)

11 %

Non-technical subjects

3 %

Main seminar and bachelor thesis

11 %
Detailed subject overview: Computer Science (Module List)

Specialisations

  • Data Science / Machine Learning
  • computer vision
  • IT Security
  • Algorithmics
  • Software Engineering
  • Robotics

Minor subjects

  • Automation
  • Biomedical engineering
  • Information and communication technology
  • Mathematics
  • Media Technology
  • Medical informatics
  • Economics
         

"I study computer science because I find it exciting to bring ideas to life through algorithms"

Maximilian Kapfer

Practice during studies

No compulsory basic or specialist internships are required.

Fields of work

  • Electricity generation, conversion and distribution
  • Renewable Energies
  • Mobile Communications
  • Audiovisual media
  • information and communication technology
  • micro- and nanoelectronics
  • Multimedia communication technologies
  • (resource-saving) automation technology

Tania and Tobias study computer science at the TU Ilmenau

Through Ilmenau with Janine and Marcel

Janine and Marcel take you on an exciting tour of the campus of the Ilmenau University of Technology and through Ilmenau itself. They describe how they live and study in Ilmenau, give numerous leisure tips and insights into the place of study of the Ilmenau University of Technology and take you to hidden places in the city.

(This video was produced as part of a campaign by the Campus Thuringiathe official portal for choosing a course of study in Thuringia. Further insights into the study locations in Thuringia can be found here here. © Pixelpakete GbR)

Michael Reichel (ari)
TU Ilmenau / Tom Goebel
Michael Reichel (ari)

Contact

Student advisory service

Prof. Dietrich Kuske

+49 3677 69-1444

Study organisation

Dipl.-Ing. Dipl.-Wirtsch.-Ing. Silke Eberhardt-Schmidt

+49 3677 69-2805

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