PhD Monitor
/Detail
Finance and Information Systems● OpenMastersPreview

Master of Science in Finance and Information Management (FIM)

An interdisciplinary Master's programme bridging quantitative finance, digital innovation, and management.

Best for:Best for students with a strong quantitative background in economics, engineering, mathematics, or computer science seeking a career at the intersection of finance and technology.

Technical University of Munich · München, Germany · R1 · First-stage researcher
More professors at Technical University of Munich
Quantitative FinanceComputational AnalyticsInformation ManagementFinancial ManagementBusiness AnalyticsMachine Learning
This is a masters position — not a PhD studentship.
Deadline
Register by 31 May 2027
Funding
—
Scholarship funds are limited; monthly financial assistance available via TUM Management Alumni e.V. and corporate partners.
Start date
Winter semester
Full-time
Location
München
Germany

Overview

The Master of Science in Finance and Information Management (FIM) at the Technical University of Munich is a four-semester, full-time programme designed to prepare students for leadership roles in the digital economy. The curriculum integrates four core areas: Computational Analytics, Quantitative Finance, Information Management, and Financial Management. Students benefit from an interdisciplinary approach that combines technical expertise with managerial strategy. The programme also offers an optional Certificate of Research, Leadership, and Social Responsibility, providing unique networking and research opportunities with corporate partners.

FinanceInformation ManagementDigital TransformationQuantitative AnalysisData ScienceManagementMaster of Science

What you'll do

  • Complete core coursework in finance, strategic management, and digital innovation during the first two semesters.
  • Select and pursue advanced elective courses in Quantitative Finance, Financial Management, Information Management, or Computational Analytics.
  • Develop mathematical, stochastic, and econometric models to address complex financial management problems.
  • Engage in interdisciplinary projects that bridge the gap between financial markets and data science.
  • Conduct independent research and write a Master's thesis during the fourth semester.
  • Participate in optional leadership and social responsibility initiatives, including supervised research projects.

Requirements

Degree required: Bachelor’s degree (at least six semesters) in economics, industrial engineering, information systems, mathematics, statistics, or a related field.

Degree offered: Master of Science

Language: English; C1 level required.

Instruction: English

Required skills
  • Strong quantitative and analytical skills.
  • Completion of at least five ECTS in scientific writing (e.g., Bachelor's thesis or project paper).
  • English proficiency at C1 level (e.g., TOEFL iBT 88, IELTS 6.5, or equivalent).
  • GMAT (classic/focus) with at least 65% percentile ranking for degrees obtained in China, Egypt, India, Pakistan, or Bangladesh.
Nice to have
Background in business and information systems engineering.Experience with machine learning or business analytics tools.Intercultural competence gained through international exposure.
Eligibility
  • Hold a Bachelor's degree or equivalent in a relevant field.
  • Meet specific GMAT requirements based on the country of the first degree.

Funding & terms

Type
Unknown
Amount
Scholarship funds are limited; monthly financial assistance available via TUM Management Alumni e.V. and corporate partners.
Duration
4 semesters
Programme
TUM Management Alumni e.V. and FIM corporate partners
TUM Management Alumni e.V. and FIM corporate partners

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

Deadline: 2027-05-31

Applications must be submitted through the official TUMonline portal. Ensure all required academic transcripts and language certificates are prepared according to the university's guidelines.

Documents required
  • Bachelor's degree certificate
  • Academic transcripts
  • English language proficiency certificate
  • GMAT score report (if applicable)
  • Proof of scientific writing experience
↗Check programme and admissions

Contact

Lab
TUM School of Management
Technical University of Munich
Germany
See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.