Veri Kalitesi: 90/100 Kaynak: expatrio (son güncelleme 6 ay önce)

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📋 Program Hakkında

The Data Science and Machine Learning programme concentrates on data science research activities with a focus on life and natural sciences, including medicine. Students acquire professional and interdisciplinary skills to meet the challenges of digital transformation in society and at the university. They master the methodological foundations of complex data analysis with a strong focus on machine learning methods and develop a comprehensive understanding of developing, implementing, and analysing data-driven algorithms on both technical and conceptual levels. The programme consists of 42 ECTS credits in core modules, 48 ECTS credits in a specialisation and 30 ECTS credits for the Master's thesis. Students can choose from three specialisations: 'Theoretical Foundations of Machine Learning in Mathematics and Natural Sciences', 'Data Science and Machine Learning in Medicine and Health Care', and 'Data-Driven Speech and Hearing Sciences'. The program is taught in small groups with 30 students per year and includes optional integrated language courses and internship opportunities. For questions about the program, contact Prof. Dr. Nils Strodthoff or Dr. Kerstin Bleichner at dsml@uol.de.

✅ Giriş / Kabul Koşulları

* Minimum degree required: Bachelor's degree of at least 180 ECTS credits in data science, mathematics, statistics, physics, computer science, business informatics or a closely related field * Required credits: 30 ECTS credits in mathematics and computer science including at least 20 ECTS credits in mathematics (5 ECTS in analysis or linear algebra and 5 ECTS in probability theory or statistics) and 10 ECTS credits in computer science (5 ECTS in algorithms and 5 ECTS in a higher programming language, preferably Python) * Additional requirements: Students without a degree in the specified fields must prove an additional 15 ECTS credits in data science or equivalent work experience * Admission ranking: Based on grade average of Bachelor's degree (Category A: 1.00-1.5: 4 points, 1.51-1.75: 3.5 points, 1.76-2.0: 3 points, etc.) and relevant professional or scientific activity in data science or machine learning (Category B: 1 point per activity, max 2 points) * Conditional admission: Students missing up to 5 ECTS in statistics and up to 5 ECTS in algorithms or programming may catch up on missing competencies in additional modules

🗣 Dil Gereksinimleri

* CEFR: Level B2 * Non-standard requirements: Level B2 is valid for 2 years, Level C1 is valid for 6 years * Alternative proof: University degree obtained in an EU country or a country with English as the official language (within the last two years) * Note: A test from a language centre of a German university is accepted. The admissions committee can accept other evidence provided it demonstrates sufficient language qualification.

📎 Başvuru için Gereken Belgeler

* required_documents: Bachelor's degree certificate or transcript of records, proof of number of semesters studied, specific eligibility form, proof of English language proficiency * translation_required: yes * translation_language: German, English * other_details: If applicable, certificates of relevant internships or work experience and information about the Bachelor's thesis subject. Letters of recommendation or motivation are not required. International applicants need to upload digital versions of documents to uni-assist portal and present original documents upon registration.

Carl von Ossietzky Universität Oldenburg

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