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Arden University
Master English Computer Science

Data Science

Master of Science (M.Sc.)

About the Program

The MSc Data Science programme is designed to bridge the global skills gap in data science and AI by providing practical skills and expertise needed to excel in data-related roles. The course covers fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. Students will master essential tools and programming languages such as Python, Jupyter Notebooks, and Tableau. The program follows a "Learn by Doing" philosophy, ensuring students can apply knowledge to make meaningful business decisions using real data sets. Students gain insight into data science operations, from data gathering and processing to analysis for operational and strategic purposes, while developing an understanding of ethical and legal considerations in the field.
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The MSc Data Science programme is designed to bridge the global skills gap in data science and AI by providing practical skills and expertise needed to excel in data-related roles. The course covers fundamental mathematical concepts to advanced topics like artificial intelligence, machine learning, deep learning, and cloud computing. Students will master essential tools and programming languages such as Python, Jupyter Notebooks, and Tableau. The program follows a "Learn by Doing" philosophy, ensuring students can apply knowledge to make meaningful business decisions using real data sets. Students gain insight into data science operations, from data gathering and processing to analysis for operational and strategic purposes, while developing an understanding of ethical and legal considerations in the field.

Application Requirements

* Standart giriş koşulları: Modüllerinin çoğu matematik tabanlı olan (örn. matematik, finans, bilişim, bilim, mühendislik) sayısal bir alanda 2.2 Onur derecesi
* Alternatif giriş: 18 ay ilgili bilişim iş deneyimi ile eşdeğer bir 2.2 Onur derecesi
* Standart dışı giriş: Matematik ve/veya veri analizi ile çalışma deneyimi olan, veri tabanlı bir rolde (örn. finans, mühendislik, bilim, veri analizi) en az 3 yıl ilgili iş deneyimi

Language Requirements

* Çevrimiçi Öğrenim: IELTS 6.5 (herhangi bir bölümde 6.0'dan az olmamak); veya TOEFL iBT 90; veya eşdeğeri
* Birleşik Krallık veya Berlin'de Karma Öğrenim: IELTS 6.0 (herhangi bir bölümde 5.5'ten az olmamak); veya TOEFL iBT 60-78; veya eşdeğeri
* Alternatif: Daha önce İngilizce eğitim alındığına dair kanıt; eğitim dilinin İngilizce olduğunu gösteren bir mektup

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Data Science

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Frequently Asked Questions

Quick answers about Data Science at Arden University

Is Data Science at Arden University taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Data Science programme cost?

10.550 EUR / semester. International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Data Science at Arden University?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Data Science?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Arden University — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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