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2. The program focuses on practical skills and hands-on experience, with opportunities for internships and project work with industry partners. |
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3. The curriculum includes courses in statistics, programming, data mining, data management, and ethics in data science. |
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4. Graduates of the program are well-equipped for careers in data analysis, machine learning, business intelligence, and other data-driven fields. |
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5. The University of Erlangen-Nürnberg is a leading research institution in Germany, with a strong reputation in the field of data science and related disciplines. |
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6. The program is taught in English, making it accessible to international students who meet the admission requirements. |
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7. The application process for the Master’s program typically includes submitting transcripts, letters of recommendation, a statement of purpose, and possibly a standardized test score (such as the GRE). |
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8. The University of Erlangen-Nürnberg offers a vibrant academic community with opportunities for networking, professional development, and extracurricular activities. |