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Heinrich Heine University Dusseldorf
Dusseldorf
Artificial Intelligence & Data Science
Subjects: Artificial Intelligence;Data Science
M.Sc. | Master of Science
Course description
Artificial Intelligence (AI) and Data Science are revolutionizing digitalization and automation, transforming our daily lives. This two-year Master's program delves into the core principles of AI and Data Science, applying them to real-world challenges. Specialized lectures cover areas like natural language processing, computer vision, and the analysis of biological and medical data. Central to this program are machine learning methods, with a strong emphasis on deep learning. You can customize your studies by choosing from a variety of elective courses, aligning the program with your personal interests. Graduates will gain a solid grasp of the mathematical and statistical foundations essential for AI research. You'll also become well-versed in cutting-edge algorithms and learn how to apply them to specific research problems. Moreover, this program equips you with the skills needed to conduct research in academic or R&D settings. You'll learn to identify how AI and Data Science techniques can solve data-driven IT problems in industry. This comprehensive approach ensures you are prepared to tackle the challenges and opportunities in this dynamic field.
Program Information
| Study Location | Dusseldorf |
| Start Semester | Winter |
| Study Form | Full-time |
| Study Type | Postgraduate |
| Teaching Language | English |
| Dual | No |
| Remote | No |
| Application Fee non-EU | No information |
| Study Length | 4 Semesters |
| Tuition Fees per Semester | No Tuition Fee |
| Cost per Semester | 300.0 EUR |
Step 2 - Check Application Requirements
Application Requirements
Language Requirements
| CEFR | No information |
| IELTS | No information |
| Cambridge (CAE) | No information |
| TOEFL IBT | No information |
The master program is entirely taught in English. You need to prove that your English skills are sufficient to follow the courses. The proof can be givenby providing one of the following language certificates: a) Test of English as Foreign Language (TOEFL), Paper-based (min 500 points), Computer-based (min 200 points), or Internet-based Test (IBT, min 80 points), b) IELTS test with a score of at least 6.0. c) Cambridge B2 First Certificate, formerly known as Cambridge English: First (FCE) d) German Abitur certificate, showing that English has been constantly taken as a subject and passed with the grade of "sufficient" up to the end of the qualification level 1 (grade 11 at G8-Abitur, otherwise grade 12). e) Proof that you obtained an academic degree (bachelor or master) that was taught entirely in English. Your university must provide a "medium of instruction" certificate to confirm this, or it must be stated clearly on your transcript of records. Language Certificates must be submitted during the enrolment.
Qualification Requirements
The course has restricted admission. A prerequisite for starting studies is a first university degree, with the required necessary background education as determined in the exam regulations. In brief, you need a Bachelor's degree in either Mathematics, Computer Science, Physics, Electrical Engineering or a related area, whose curricula include the modules Analysis I + II, Linear Algebra I, and Stochastics I that together comprise 30 ECTS and were taught at a level that corresponds to the level for computer scientists at HHU (see the FAQ for details). The examination board determines whether you fulfil the entrance requirements. The final grade of your bachelor's degree must be between 1.0 and 2.5 with respect to the German grading system. You can convert grades to the German system by using the 'Bavarian Formula'.
Application Process
| Acceptance Interview | No |
| Acceptance local admission restrictions | Restricted |
| Application | directly at the University |
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