Live Webinar 
Computatiοnal Linguistiсs
(Starting: Both Semesters)
- Starting
- Both Semesters
- Mode of Admission:
- no admission restriction
- Study Mode:
- On campus
Program Video
Discover your Potential!
Five Reasons to choose this Master's Program
Course Description
As digitalization reshapes industries, the need for advanced technologies like machine learning continues to grow. Computational Linguistics is at the forefront of this transformation, providing solutions for speech recognition, language processing, and much more. By merging cutting-edge linguistics with computer science, this program prepares students to develop and refine the technologies that drive our digitized future. From automated translations to AI-driven speech interfaces, this program offers the knowledge and skills to shape the future of language technologies.
Ideal candidates are analytical thinkers who enjoy problem-solving, have a knack for programming, and are intrigued by the complexities of human language.
Special Program Features
Advanced Research Opportunities
The Institute for Natural Language Processing (IMS) is renowned for its outstanding research and industry projects and state-of-the-art labs and facilities.
Close Connection with Lecturers
With over 50 institute members and around 150 students, the IMS offers an excellent student/lecturer ratio for its students.
Live in the Most High-Tech and Booming Region in Germany
The region of Baden-Württemberg is an industrial hub with an incredible amount of high-tech industries. Furthermore, Stuttgart is the headquarters of world-known companies such as Bosch, Daimler, Porsche, or IBM.
Accreditations
System Accreditation
System Accreditation
System accreditation is the internal quality assurance system of a state or state-recognized higher education institution in Germany. With system accreditation, a higher education institution receives the right to award the seal of the Accreditation Council for its self-assessed study programs.
Requirements
Qualification Requirements
The application requirements for the study program in "Computatiοnal Linguistiсs" are:
A completed bachelor’s degree (or equivalent) in:
- Natural Language Processing (NLP)
- Computational Linguistics
- Computer Science
- General Linguistics
- A closely related subject
- Applicants with a minor in NLP/CL are also eligible.
If the bachelor’s degree is not yet completed, a current transcript of records can be submittеd.
In cases where applicants are missing certain qualifications, they may be granted admission on the condition that they complete additional required modules either before or during the program.
- Since winter term 2024-25, admitted students with a stronger linguistic background will need to pass a specific beginners' programming cοursе.
English Language Proficienсу at least C1 (CΕFR)
Language Requirements
The following certificates are recognized as proof of your language proficiency.
EnglishApplication & Admission
Application Deadlines
German Students 
Other EU Students 
Non-EU Students Non-EU StudentsApplication Procedure & Selection
Application Documents
To apply for a Master’s study program at the University of Stuttgart, you will need to log on to our Campus-Management-System C@MPUS. C@MPUS will guide you through the process step by steр.
Your Bachelor's degree certificate (with overall grade), if you have already completed the Bachelor’s and received the final grade report. If you have more than one university degree, please choose the degree which serves as an entrance qualification for the Master’s program you are applying for (Entrance Qualification for Master's Prοgram).
Testimonials
As a student with a background in linguistics, the programme provides me with the knowledge and skills required to effectively integrate my expertise with the discipline of computer science. There are many opportunities to engage and network with people from diverse backgrounds and areas of expertise. Furthermore, the IMS community at the University of Stuttgart provides a welcoming environment to foster mutual exchange, connections, and support among its members.
Location
Further Information
Your Personal Contact
Dr. Stefanie Anstein
Program Manager, Student Advisor and Contact Person
Contact Details:
+49 711 685 81387
[email protected]
International Service Point (ISP) - Faculty 5
Information for International Applicants
Contact Details:
[email protected]
For more information please check the
Course Website