Master
English
Mathematics & Natural Sciences
Data Science
Master of Science (M.Sc.)
About the Program
Our curriculum offers a mix of advanced computer science methods and mathematics. As a Data Science Student, you will learn to master scalable database technologies and design statistical knowledge to build prediction models. Data Science enables companies to design new data products and learning how to sell and promote these products is an essential requirement. You will learn to measure data products and communicate their usefulness in a commercial settings. After covering the Data Science basics (in Computer Science and Statistics), you will learn a wide range of Machine Learning methods. Furthermore, many of the important tools and practices - such as data preparation and big data analytics – will be taught and implemented in practice. Additionally, you will have the possibility to work on an innovative idea from beginning to end to create a start-up or to collaborate with leading companies in Berlin. Important considerations such as ethics, responsibility, data privacy and economics of data products are also incorporated. Your Master's thesis will contribute to a current research project, industrial cooperation or a startup idea.
▶ Show the original English text
Our curriculum offers a mix of advanced computer science methods and mathematics. As a Data Science Student, you will learn to master scalable database technologies and design statistical knowledge to build prediction models. Data Science enables companies to design new data products and learning how to sell and promote these products is an essential requirement. You will learn to measure data products and communicate their usefulness in a commercial settings. After covering the Data Science basics (in Computer Science and Statistics), you will learn a wide range of Machine Learning methods. Furthermore, many of the important tools and practices - such as data preparation and big data analytics – will be taught and implemented in practice. Additionally, you will have the possibility to work on an innovative idea from beginning to end to create a start-up or to collaborate with leading companies in Berlin. Important considerations such as ethics, responsibility, data privacy and economics of data products are also incorporated. Your Master's thesis will contribute to a current research project, industrial cooperation or a startup idea.
Application Requirements
* İngilizce B2 Dil Seviyesi
* En az 20 ECTS Matematik ve İstatistik derslerinden, örn. Analiz, Lineer Cebir, Sayısal Analiz, Olasılık Teorisi, Veri Modelleme
* En az 25 ECTS Bilgisayar Bilimi derslerinden, örn. Programlama, Veritabanları, Dağıtık Sistemler, Uygulama Programlama
* 'Bilgisayar Bilimi' (Bilgisayar Bilimi, Uygulamalı Bilgisayar Bilimi, Medya Enformatik, Bilgisayar Mühendisliği, Veri Mühendisliği) veya 'Matematik' (Matematik, Uygulamalı Matematik, İstatistik) alanında veya en az 180 ECTS'ye sahip benzer bir lisans programından alınmış bir derece
* En az 20 ECTS Matematik ve İstatistik derslerinden, örn. Analiz, Lineer Cebir, Sayısal Analiz, Olasılık Teorisi, Veri Modelleme
* En az 25 ECTS Bilgisayar Bilimi derslerinden, örn. Programlama, Veritabanları, Dağıtık Sistemler, Uygulama Programlama
* 'Bilgisayar Bilimi' (Bilgisayar Bilimi, Uygulamalı Bilgisayar Bilimi, Medya Enformatik, Bilgisayar Mühendisliği, Veri Mühendisliği) veya 'Matematik' (Matematik, Uygulamalı Matematik, İstatistik) alanında veya en az 180 ECTS'ye sahip benzer bir lisans programından alınmış bir derece
Language Requirements
* Standart dışı gereksinimler: İngilizce B2 Dil Seviyesi
Required Documents
* gerekli_belgeler: resmi Almanca veya İngilizce çevirisiyle birlikte orijinal Bachelor mezuniyet belgesi, doğum belgesi, lise diploması, uni-assist için ücret ödeme kanıtı, pasaport kopyası, ECTS listesi
* çeviri_gerekli: evet
* çeviri_dili: Almanca veya İngilizce
* diğer_detaylar: belgelerin resmi onaylı kopyaları olması gerekmektedir
* çeviri_gerekli: evet
* çeviri_dili: Almanca veya İngilizce
* diğer_detaylar: belgelerin resmi onaylı kopyaları olması gerekmektedir
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How do I apply to Data Science at Berliner Hochschule für Technik?
Most international applicants apply via uni-assist (document verification + APS for some countries). Prepare your secondary/Bachelor diploma, transcripts, language certificate (DSH/TestDaF or IELTS/TOEFL), motivation letter and CV. Non-EU students also need a Sperrkonto (~11,904 EUR/year) for the visa.
- Check requirements — Verify your degree is recognised + meet language/grade thresholds.
- Get language certificate — TestDaF / DSH for German programmes, IELTS / TOEFL for English.
- Submit via uni-assist (non-EU) — Document review + APS if your country requires it (China, India, Pakistan, Vietnam, etc.).
- Apply directly or via uni portal — Some universities accept direct applications — check the official programme page.
- Open Sperrkonto + apply for visa — After admission, deposit 11,904 EUR, get health insurance, book embassy appointment.
Frequently Asked Questions
Quick answers about Data Science at Berliner Hochschule für Technik
Is Data Science at Berliner Hochschule für Technik 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? ▼
No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.
What are the admission requirements for Data Science at Berliner Hochschule für Technik? ▼
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 Berliner Hochschule für Technik — 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.