Master
German + English
Computer Science
Quantitative Finance and Data Science
Master of Science (M.Sc.)
About the Program
The Master's program 'Quantitative Finance and Data Science' at HTW Berlin provides a practical education in quantitative methods for the financial industry with flexible specializations in financial mathematics, quantitative risk management, or actuarial sciences, all with a continuous focus on data science. The program covers expertise in quantitative methods, regulatory frameworks, valuation methods for financial instruments, risk models, and profitability, liquidity, and risk policy. It deepens knowledge in the mathematically-oriented programming language R, with access to real financial data from Bloomberg and Thomson Reuters. Students learn machine learning methods for finance and risk management applications and acquire knowledge to find mathematical solutions for optimal portfolio questions, credit default calculations, and modeling of damage figures, including consideration of extreme events. The curriculum includes mandatory modules (Stochastic Processes, Data Science in Finance and Insurance, Quantitative Risk Management, Time Series Analysis, Financial Markets and Regulation, Stochastics of Financial Markets, Advanced Statistical Learning) and elective modules in Actuarial Science and Mathematical Finance and Risk Management.
▶ Show the original English text
The Master's program 'Quantitative Finance and Data Science' at HTW Berlin provides a practical education in quantitative methods for the financial industry with flexible specializations in financial mathematics, quantitative risk management, or actuarial sciences, all with a continuous focus on data science. The program covers expertise in quantitative methods, regulatory frameworks, valuation methods for financial instruments, risk models, and profitability, liquidity, and risk policy. It deepens knowledge in the mathematically-oriented programming language R, with access to real financial data from Bloomberg and Thomson Reuters. Students learn machine learning methods for finance and risk management applications and acquire knowledge to find mathematical solutions for optimal portfolio questions, credit default calculations, and modeling of damage figures, including consideration of extreme events. The curriculum includes mandatory modules (Stochastic Processes, Data Science in Finance and Insurance, Quantitative Risk Management, Time Series Analysis, Financial Markets and Regulation, Stochastics of Financial Markets, Advanced Statistical Learning) and elective modules in Actuarial Science and Mathematical Finance and Risk Management.
Which Professions Does This Program Open Up?
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Quantitative Finance
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How do I apply to Quantitative Finance and Data Science at Hochschule für Technik und Wirtschaft Berlin?
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 Quantitative Finance and Data Science at Hochschule für Technik und Wirtschaft Berlin
Is Quantitative Finance and Data Science at Hochschule für Technik und Wirtschaft Berlin taught in German or English? ▼
This Master programme is taught in German + English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.
How much does the Quantitative Finance and 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 Quantitative Finance and Data Science at Hochschule für Technik und Wirtschaft Berlin? ▼
Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (German + 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 Quantitative Finance and 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 Hochschule für Technik und Wirtschaft Berlin — 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.