Data Science and Artificial Intelligence (M.Sc.)
Artificial intelligence is now being put to use everywhere, in online shopping, autonomous driving or medical data analysis. The international master's programme 'Data Science and Artificial Intelligence' aims to prepare students for demanding national and international research and development activities in this field. The Master's programme is based on complex data analysis and automation: from mathematics and statistics to machine learning, artificial intelligence, big data, data management, modelling and simulation or data visualization.
Students work on concrete questions and problems of application subjects such as computer linguistics, physics, material sciences, chemistry, psychology and biology. By dealing with sensitive data, aspects of IT security, law, data protection, philosophy and ethics are also important considerations in this course of study. An industrial internship and a master internship in a research group can be included in the elective requirements.
Along with the professors in Saarland University's Department of Computer Science and Department of Language Science and Technology, scientists from the six renowned research centers on campus teach in the Data Science and Artificial Intelligence programme. Those experts conduct application-oriented research in the fields of Data Science, Artificial Intelligence, Machine Learning and Big Data and prepare you comprehensively for the challenges of the digital future.
Intakes
- April
- Oct
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Admission Requirement / Eligibility Criteria
- 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
- Advanced proficiency in English (level C1)
- Personal statement written by the applicant and two letters of recommendation written by referees who know the applicant academically to 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
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- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
N/A
Annual Cost of Living: 10200 EUR
Application Fee: N/A