Robotics

An English-taught TWIN bachelor's programme in robotics that combines computer science, electrical engineering, and mechanical engineering. It provides practice-oriented interdisciplinary training for developing intelligent robot systems in industrial and everyday applications.

Academic requirements

Compulsory scholastic aptitude test: TestAS with a minimum of 100 points in each module (Core Test and Subject-Specific Test: Engineering) or SAT (test requires a minimum composite score of 1,050) is required for all non-EU applicants in order to enrol. Secondary education diploma (A level or equivalent). If required: evidence of periods of study or certificates.

Minimum GPA

No fixed minimum GPA is published on the current official programme page.

English requirements

English language proficiency at level B2.

German requirements

German language skills at level A2 are required. This must be proven by a corresponding certificate within 12 months after the start of the degree programme.

Accepted bachelor fields

Not applicable for a bachelor's programme; admission requires a valid higher education entrance qualification or a comparable qualification from abroad. The official programme page additionally states that non-EU applicants without a German university entrance qualification must submit TestAS or SAT unless an official exemption applies.

APS Certificate

Yes

Thesis required

Yes

Mandatory internship

Yes

Tuition fee

None

Semester contribution

117.70 EUR semester contribution at Schweinfurt campus from summer semester 2026 onward (70.00 EUR student services fee + 47.70 EUR semester ticket); current THWS fee page supersedes older programme-page figures.

ECTS credits

210

Funding info

Tuition: None Semester contribution: 117.70 EUR semester contribution at Schweinfurt campus from summer semester 2026 onward (70.00 EUR student services fee + 47.70 EUR semester ticket); current THWS fee page supersedes older programme-page figures.

Graduates are prepared to develop innovative robot systems and work in robotics-related interdisciplinary engineering contexts shaped by Industry 4.0 and intelligent automation.

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