TestDaF-Training: Preparatory course for the digital TestDaF
The compact course prepares specifically for the computer based TestDaF digital in 56 teaching units (45 minutes each). The aim of the course is to get familiar with the digital TestDaF in a short time and to train different test items.
After an introduction to the test procedure and the specific conditions of the examination, the four subtests (reading, listening, writing and speaking) and their special difficulties will be trained by using preparation materials and sample tests. The participants thus develop strategies for solving different items and are able to apply their new knowledge immediately.
The following equipment is required to participate in the course:
- PC or laptop,
- reliable internet connection,
- browser.
| Course start: | August 2025 |
| End of course: | September 2025 |
|
Course timetable: |
to be announced |
| Prior knowledge (will not be tested): | B2/C1 |
| Online course registration: |
via Campus+ |
| Course book: |
Mit Erfolg zum digitalen TestDaF. Kurs- und Übungsbuch. Klett Verlag ISBN 978-3-12-676827-6 |
| Course fee: |
€200 (international students at KIT can attend one German language course per semester free of charge (for example compact course TestDaF) |
| Seat reservation in the following exam digital TestDaF: | guaranteed (18.09.2025) |
| Teaching form: |
on campus |
| Next computerbased TestDaF digital (Kompaktkurs): | 18.09.2025 |
| Registartion perid for the exam: | until 08.09.2025 |
| Exam fee: | €210 |
| Next compact course 2026: | spring 2026 |
Important information
With the payment of the course fee, the registration is binding for both parties.
With the binding registration, the person registered accepts the general rules of the Studienkolleg.
The fees will be reimbursed:
- if you cancel up to 10 days before the start of the course
- if a course cannot take place
Contact
For more information regarding the course please contact adisa.kadic∂kit.edu
TestDaF
For more information regarding the exam please visit our website