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Financial Mathematics● OpenMastersPreview

Financial Engineering (DISC)

Master modern financial mathematics and actuarial science through a flexible distance learning programme.

Best for:Best for working professionals and mathematics graduates seeking specialized distance learning expertise in financial engineering and quantitative risk.

RPTU University Kaiserslautern-Landau · Kaiserslautern, Germany · R1 · First-stage researcher
More professors at RPTU University Kaiserslautern-Landau
Financial mathematicsInsurance mathematicsFinancial statisticsComputational financeRisk management
This is a masters position — not a PhD studentship.
Deadline
Register by 15 August 2026
Funding
Unfunded
2,300 EUR per semester tuition fees
Start date
Winter semester
Part-time
Location
Kaiserslautern
Germany

Overview

The Financial Engineering distance learning Master of Science programme is offered by RPTU University Kaiserslautern-Landau for students seeking in-depth expertise in modern financial mathematics, actuarial science, and quantitative risk management. Designed primarily as a part-time course of study alongside professional work, the curriculum integrates comprehensive self-study materials with interactive online platforms and mandatory on-campus phases. Participants build rigorous analytical competencies in financial modeling, computational finance, and banking economics. Upon fulfilling all academic and examination requirements, students are awarded a Master of Science degree.

Financial EngineeringFinancial MathematicsActuarial ScienceDistance LearningComputational FinanceRisk Measures

What you'll do

  • Complete comprehensive scientifically sound self-study materials developed for distance learning
  • Engage with interactive online learning platform modules and academic exercises
  • Participate in mandatory on-campus phases held once per semester over a weekend in Kaiserslautern
  • Master advanced concepts in financial statistics, interest rate models, and insurance mathematics
  • Pass written examinations and complete the required Master's thesis requirements

Requirements

Degree required: BSc or equivalent degree in mathematics or related subjects with significant mathematical content

Degree offered: Master of Science

Language: English; B2 level required, demonstrated via an official certificate such as IELTS Academic 5.5

Instruction: English

Required skills
  • Strong foundation in university-level mathematics and statistical methods
  • Ability to engage in independent self-directed distance learning
  • Quantitative problem-solving and analytical reasoning skills
Nice to have
Prior professional experience in the financial or insurance sectorFamiliarity with computational finance and numerical methods
Eligibility
  • Applicants from all countries holding an eligible first university degree

Funding & terms

Type
Unfunded
Amount
2,300 EUR per semester tuition fees
Duration
6 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
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: 2026-08-15

Applicants must review the admission guidelines on the official programme website and submit their application materials through the university's online applicant portal before the stated deadline.

Documents required
  • BSc degree certificate and transcripts
  • English language proficiency certificate
  • CV
↗Check programme and admissions

Contact

Lab
Distance and Independent Studies Center
RPTU University Kaiserslautern-Landau
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.