MSc Financial Engineering at Karlsruhe Institute of Technology (KIT)

Programme overview

Combines finance theory, engineering methods, management tools, mathematical and computational techniques with artificial intelligence and data science, with hands-on applications in Python. Focus points: data science, machine learning for business and finance, data-driven decision making, financial and risk management.

Department: HECTOR School, Technology Business School of KIT | Duration: 15 months of modules plus master's thesis (6 months); 90 ECTS credits | Study mode: part-time (work-integrated, enrolled as full-time student); English-taught | Intake: October each year (flexible schedule possible) | Location: Karlsruhe, Baden-Württemberg, Germany

What you will study

Five engineering modules (e.g. digital financial markets, financial economics for data scientists, machine learning for data-driven decision making) and five management modules over 15 months, followed by a master's thesis written in the company.

Official programme page

Application information

Entry requirements

First academic degree (e.g. Bachelor, Master or Diploma), at least 2 years of professional experience and English language proficiency. No application deadline (rolling application).

EUR 36,000 for the whole programme. Total tuition for the whole programme as stated on the programme page; financing options on the HECTOR School tuition and financing page. Source

Intake: October each year (flexible schedule possible)

Duration: 15 months of modules plus master's thesis (6 months); 90 ECTS credits

Apply through the official page: https://www.hectorschool.kit.edu/FE.php

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