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Financial Engineering and Data Science● OpenMastersOpen until filledPreview

Financial Engineering (MSc, Executive) at HECTOR School

Master executive financial engineering and data-driven decision-making at Karlsruhe Institute of Technology.

Best for:Best for working professionals and engineering or economics graduates seeking advanced expertise in financial data science, AI, and predictive analytics.

Karlsruhe Institute of Technology · Karlsruhe, Germany · R1 · First-stage researcher
More professors at Karlsruhe Institute of Technology
Financial EngineeringMachine LearningPredictive AnalyticsFinancial EconomicsNatural Language ProcessingDigital Financial Markets
This is a masters position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
Unfunded
€9k
Start date
Winter semester
Part-time
Location
Karlsruhe
Germany

Overview

The Executive Master of Science in Financial Engineering at the HECTOR School of Karlsruhe Institute of Technology focuses on data-driven decision-making, predictive analytics, and machine learning in business environments. Designed as a part-time programme for working professionals, it spans four semesters and integrates finance, economics, and modern computational techniques. Students participate in intensive modules covering digital financial markets, financial economics, machine learning, and alternative data applications. The programme culminates in a Master's thesis addressing real-world data problems in collaboration with industry partners.

Financial EngineeringMachine LearningData SciencePythonPredictive AnalyticsExecutive MasterDigital Finance

What you'll do

  • Complete structured engineering and management modules delivered in intensive blocks
  • Apply machine learning algorithms and statistical concepts to solve financial valuation and analytics problems
  • Develop predictive models using Python, alternative data, and text mining techniques
  • Participate in practical computational tutorials, case studies, and business simulations
  • Execute a data-driven Master's thesis addressing complex challenges for institutions or society

Requirements

Degree required: Bachelor's, Master's, or equivalent first academic degree in engineering, natural sciences, information science, or economics

Degree offered: Master of Science

Language: English; C1 level required, verified via placement test or interview

Instruction: English

Required skills
  • Foundational knowledge in engineering, natural sciences, information science, or economics
  • One to two years of relevant practical professional experience depending on ECTS points
  • Proficiency in programming and quantitative data analysis
Nice to have
Three years of professional work experiencePrior exposure to financial markets or data analytics workflowsFamiliarity with Python or basic programming concepts
Eligibility
  • Applicants must hold a recognised university degree
  • Must have the required minimum practical professional experience

Funding & terms

Type
Unfunded
Amount
€9k
Duration
4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Submit your application through the official online portal provided by the HECTOR School. Ensure all academic transcripts and professional references evidencing practical experience are attached. Detailed procedural guidelines are available directly on the application website.

Documents required
  • CV
  • University degree certificate and transcripts
  • Professional references
↗Check programme and admissions

Contact

Lab
International Department of the KIT
Karlsruhe Institute of Technology
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.