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Financial Engineering

  • Abschluss Master
  • Dauer 4 Semester
  • Art Berufsbegleitendes Präsenzstudium

Are you interested in data science, machine learning and predictive analytics? The Financial Engineering program provides answers to the challenges faced by companies in the financial industry in rapidly evolving financial markets. The program offers you a unique combination of financial theory, engineering methods, management tools and mathematical techniques - mixed with new developments in artificial intelligence and Big Data. The program introduces you to these techniques in a hands-on manner, with an emphasis on practical applications implemented in the Python programming language.

In addition to the engineering expertise, the program in Financial Engineering shares five management modules with other master's programs. This fosters networking across industries and provides the participants with general knowledge in finance, accounting, marketing, international multi-project management, international law, and human resource management. Therefore, participants can consider the commercial implications of project decisions.

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Studienverlauf

The part-time Master´s program is organized in 10 modules over a period of 15 months. It consists of five engineering modules and five management modules, each lasting two weeks. The time between modules is typically spent at the participant’s workplace. This allows participants to focus either entirely on their studies or on their jobs, and to continue with their demanding careers while acquiring new skills.

In addition, the program concludes with a Master's thesis, which the participants can either carry out in their company in cooperation with an institute of KIT in the form of an innovative project or only with one of the KIT institutes. The program completes with a Master of Science (M. Sc.) from the Karlsruhe Institute of Technology (KIT) with 90 ECTS.

Schwerpunkte

Focus Points Engineering Modules:

  • Data Science
  • Machine Learning For Business And Finance Innovations
  • Data-Driven Decision Making
  • Financial And Risk Management With Python

Focus Points Management Modules:

  • Marketing & Information
  • Finance & Value
  • Decisions & Risk
  • Innovation & Projects
  • Strategy & People

Zugangsvoraussetzungen & Studiengebühren

Zugangsvoraussetzungen:

  • First academic degree (e.g. Bachelor's degree, Master's degree, diploma, etc.) in a relevant subject
  • At least one year of professional experience with 210 ECTS, two years of professional experience with 180 ECTS in the subject area of the master's program
  • English language skills (at least 90 iBT or 6.5 IELT or other equivalent proof)

Kosten:

  • 9,000 EUR (in total 36,000 EUR (thirty-six thousand Euro), different lengths of study do not increase the total tuition fee)

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