Data Science and Artificial Intelligence (MSc)

This English-taught master's focuses on data science, machine learning, artificial intelligence, big data, modelling, and data visualisation. It combines a strong mathematical and computer-science foundation with application-oriented work across multiple disciplines.

Academic requirements

A level of knowledge and competence that corresponds to that acquired in the Bachelor's degree programme in Data Science and Artificial Intelligence at Saarland University.

Minimum GPA

The current official SIC application guide states a minimal application prerequisite of 75% cumulative undergraduate grade or 3.00 GPA on a 4.0 scale and ranking in the top 10% of the graduating class.

English requirements

The official programme page requires advanced English at C1 and states that MOI is not accepted. The current official SIC application guide lists accepted certificates as IELTS Academic 7.0, TOEFL iBT 95, TOEFL paper-based 600, Cambridge C1 Advanced or C2 Proficiency, or PTE Academic 76.

Accepted bachelor fields

The official programme page requires a bachelor's degree or equivalent qualification in computer science, informatics, or a related field. The current official SIC application guide additionally expects a solid background in computer science, machine learning, and artificial intelligence.

APS Certificate

Yes

Thesis required

Yes

Mandatory internship

No

Tuition fee

None

Semester contribution

394.30 EUR per semester for Summer Semester 2026 according to the current official Saarland University semester-fee page.

ECTS credits

120

Funding info

Tuition: None Semester contribution: 394.30 EUR per semester for Summer Semester 2026 according to the current official Saarland University semester-fee page.

Graduates are prepared for demanding research and development roles in data science and AI across industry and academia, including positions involving machine learning, data engineering, and responsible AI solutions.

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