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Fachhochschule Bielefeld · Gütersloh

Data Science

Master of Science (M.Sc.) English
Veri Kalitesi: 100/100 Kaynak: expatrio (son güncelleme 1 ay önce)
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Bu programın detayları İngilizce
Tek tıkla MentorDE Lab seninle Türkçeye çevirsin (~3-5 saniye).

📋 Program Hakkında

The Research Master's programme in Data Science trains students to become applied science researchers in data science. The program focuses on mastering data mining methods and algorithms for processing, analyzing and exploiting large amounts of data, applying machine learning algorithms, developing generative models, gaining expertise in AI-based software agents, developing big data architectures, mastering multi-paradigm programming with Python, performing independent scientific work, mastering agile project management skills, and reflecting on ethical considerations. The program has a unique Research Master concept with permanent project orientation, allowing students to publish at international conferences with individual mentoring.

📊 Hızlı Bilgi

Süre
4 sömestr
Eğitim Dili
İngilizce
Sömestr Ücreti
Ücretsiz ✓

📅 Başvuru Tarihleri

☀ Yaz Sömestri
15.07.2026
son başvuru
❄ Kış Sömestri
15.01.2027
son başvuru

✅ Giriş / Kabul Koşulları

* Successfully completed bachelor's degree (180 ECTS) with specialisation in mathematics/statistics and computer science; e.g.: Biotechnology and Instrumentation Engineering, Digital Logistics, Digital Technologies, Electrical Engineering, Computer Science, Engineering Computer Sciences, Applied Mathematics, Mechatronics, Mechatronics/Automation, Business Information Systems * The previous degree must have been completed with an overall grade of at least 2.5 * Successfully passed aptitude test

🗣 Dil Gereksinimleri

* English language skills at level B2 must be demonstrated

📎 Başvuru için Gereken Belgeler

* required_documents: degree certificate, transcript of records, diploma supplement, recognised English certificate, one-page letter of motivation * other_details: The letter of motivation should apply for a project from the project pool and name two alternative projects with priorities 2 and 3

🎓 Akademik Alanlar

Akademik Alan
Computer Science and IT
Konular / Spesifik Alanlar
Data Science

🏛 Üniversite

Fachhochschule Bielefeld
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Danışmana Sor
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