Data Science and Artificial Intelligence (MSc)

Universitat des Saarlandes · Saarbrücken, Germany

Level
Master's
Award
Master of Science
Language
English
Duration
4 semesters
Study mode
full-time part-time (study alongside work)
Campus
Saarbrücken
Apply by
<p><strong>For the winter semester:</strong></p> <p>Early deadline: Applicants who apply by 15&nbsp;November for the following winter semester can expect to receive a letter of admission by mid-February.&nbsp;</p> <p>Regular deadline:&nbsp;15 May. A decision can be expected in August.</p> <p><strong>For the summer semester:</strong></p> <p>Early deadline: Applicants who apply by 15 May for the following summer semester can expect to receive a letter of admission by mid-July.&nbsp;</p> <p>Regular deadline:&nbsp;15 November. A decision can be expected in January.</p>
Starts
Winter and summer semester

Universitat des Saarlandes does not publish a fee for this programme on its own. Its published rate for master's programmes is €0 – €9,000 a year for international students.

Entry requirements and how to apply

Entry requirements
Requirements for application: Bachelor's degree from a German university (at least 180 CP) or an equivalent qualification from a foreign university in computer science, informatics, or a related field Personal statement written by the applicant and indication of two letters of recommendation by people who know the applicant academically and can give evidence of the applicant's particular interest in the subject 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. Specifically, this requires applicants to show that they have the necessary level of expertise in the following areas: mathematics (discrete mathematics, real analysis and multivariable calculus, linear algebra, numerical methods, stochastics, statistics) theoretical informatics (complexity theory, computability) practical informatics (functional and object-oriented programming, data structures and algorithms, databases) machine learning, artificial intelligence, data mining For further information, please read the application rules .
English language requirement
C1 required, please provide an official language certificate, e.g.: TOEFL iBT (before 2026): 95 Reading: 24 Listening: 22 Speaking: 25 Writing: 24 Cambridge English Qualifications: C1 Advanced PTE Academic: 76 IELTS Academic: 7
German language requirement
No minimum language level required
Application period
For the winter semester: Early deadline: Applicants who apply by 15 November for the following winter semester can expect to receive a letter of admission by mid-February. Regular deadline: 15 May. A decision can be expected in August. For the summer semester: Early deadline: Applicants who apply by 15 May for the following summer semester can expect to receive a letter of admission by mid-July. Regular deadline: 15 November. A decision can be expected in January.
Apply through
Please check this website .

About this programme

The Saarland Informatics Campus (SIC) at Saarland University is one of the top European locations for studying computer science and starting a scientific career. Along with the professors in Saarland University’s Department of Computer Science and Department of Language Science and Technology, scientists from the Helmholtz Center for Information Security (CISPA), the German Research Center for Artificial Intelligence (DFKI), the Center for Bioinformatics Saar, the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems teach in the Data Science and Artificial Intelligence programme. This is a unique combination in Germany! The Master’s programme in "Data Science and Artificial Intelligence" is based on complex data analysis and automation: from mathematics and statistics to machine learning, artificial intelligence, big data, data management, modelling, simulation and data visualisation. Techniques from very different disciplines complement each other to analyse data, automate processes, and construct and process models that enable autonomous action. During the first three semesters, students choose lectures and seminars (90 credit points). They can choose courses (core lectures, advanced lectures, and seminars) in their own fields of specialisation. During the fourth semester, every student has to write a thesis (30 credit points).

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