For full functionality of this site it is necessary to enable JavaScript. Here are the instructions how to enable JavaScript in your web browser.

Position within the page tree

Civil Engineering - Master

Information for prospective students

Course content, study program structure, and the application process – guidance and information on the Master's study program in Civil Engineering at the University of Stuttgart.

Civil Engineering

DEGREE

Master of Science

APPLICATION DEADLINE

July 15
for winter semester
January 15
for summer semester

INTERNSHIP

Internship not required

ADMISSION

Admission unrestricted

Please note the admission requirements

START

Winter and Summer Semester

STANDARD PERIOD OF STUDY

4 Semester

LANGUAGE REQUIREMENTS

Not required

TEACHING LANGUAGE

German

Requirements and application information

Everything you need to know as an international applicant Information on applying for admission Language requirements for study programs taught in German

Civil Engineering in Stuttgart – shaping the future!

As a civil engineer in Stuttgart, you will develop solutions for tackling future challenges. You will work with innovative materials and construction methods, select appropriate techniques, and combine technical expertise with creativity. In this role, you will design, plan, and build structures using data and models, analyze complex data, and optimize results.

During your studies, you will acquire a solid foundation in mathematics and engineering and learn to develop project-specific solutions. Our students challenge conventional norms and play an active role in shaping how science, technology, and society evolve together. Through interdisciplinary and international collaboration, you will help make the built environment more sustainable and innovative.

You will learn:

To design, develop, and implement new building materials and construction methods
Select appropriate tools and methods for specific tasks
Plan, manage, and control construction projects using data and models
Analyze complex data and applying data-driven models
Work and communicate in an interdisciplinary manner – including in an international setting