Would you like to

• forecast share prices with the help of fundamental data or analyse the sustainability of investments?
• work in risk management at a bank or in the actuarial department of an insurance company?
• price telematics tariffs in an InsurTech or develop investment strategies in a FinTech using Twitter data?

Then opt for the Master's programme in Quantitative Finance and Data Science at HTW Berlin.

The Master's programme "Quantitative Finance and Data Science" at HTW Berlin

• provides expertise in quantitative methods, regulation, valuation methods for financial instruments, risk models, profitability, liquidity and risk policy.
• deepens knowledge of the mathematically-oriented programming language R. You will practise implementing seminar topics in R in a series of exercises. The course has access to real-world financial data from Bloomberg and Thomson Reuters.
• demonstrates machine learning methods for finance and risk management applications.
• teaches you how to find mathematical solutions to the question of an optimum portfolio, the calculation of credit defaults and the modelling of loss figures taking account of extreme events – to name just a few examples.

• Compulsory 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
• Subject-specific elective modules from the areas of
  • Actuarial Science
  • Mathematical Finance and Risk Management
• Supplementary modules (e.g. foreign languages)

• Strongly application-oriented: Theoretical knowledge is taught using practical examples – unlike a pure mathematics degree. The focus is on banks and insurance companies.
• Accreditation of degree modules for the DAV (German Association of Actuaries) actuarial training course
• Cooperations with practice partners, e.g. with Deloitte Germany, Eurex (with the possibility of an additional qualification), the non-profit, student-led association Berliner Börsenkreis, the German Society for Insurance and Financial Mathematics (DGVFM), the German Association of Actuaries (DAV)
• Lectures by external experts provide practical insights
• Exercises in small groups
• Lecturers come directly from the field