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Applied Mathematics● OpenMastersPreview

Master's Programme in Applied Mathematics

Master applied mathematics with a focus on real-world industry problems, financial modeling, and data science.

Best for:Best for analytical graduates with a strong background in mathematics or quantitative sciences seeking careers in finance, data engineering, or industrial modeling.

Wrocław University of Science and Technology · Dolnośląskie, Poland · R1 · First-stage researcher
More professors at Wrocław University of Science and Technology
Applied MathematicsFinancial and Actuarial MathematicsData EngineeringModelling, Simulation and OptimizationMachine Learning
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
Full-time master's programme
Start date
flexible
Full-time
Location
Dolnośląskie
Poland

Overview

The Master's Programme in Applied Mathematics at Wrocław University of Science and Technology, offered in cooperation with the Hugo Steinhaus Center, aligns with European Consortium for Mathematics in Industry standards. The curriculum bridges rigorous mathematical theory with industrial applications, preparing students for careers in finance, insurance, and data-driven sectors. Students can specialize in financial and actuarial mathematics, industry-focused mathematics, data engineering, or modeling and optimization. The programme equips graduates with advanced computational and analytical skills necessary for tackling complex real-world challenges.

Applied MathematicsMaster DegreeFinancial MathematicsData EngineeringOptimizationWrocław University of Science and Technology

What you'll do

  • Complete advanced coursework across core mathematical subjects and chosen specialization tracks.
  • Engage in agent-based modeling, stochastic processes, and complex system simulations.
  • Analyze unstructured data and apply statistical packages to solve industrial problems.
  • Conduct independent research culminating in a diploma thesis and seminar defense.
  • Collaborate on multidisciplinary projects involving financial risk management or operational research.

Requirements

Degree required: Bachelor's or Master's Degree in Applied Mathematics, Physics, Computer Science, Economics, Engineering, or related domains

Degree offered: Master of Science

Language: English; minimum TOEFL iBT 87 or IELTS 6.5

Instruction: English

Required skills
  • Strong foundation in university-level mathematics, calculus, or differential equations
  • Familiarity with computational methods, algorithms, or programming concepts
  • Ability to apply quantitative modeling to practical problems
Nice to have
Prior coursework or experience in probability theory and statisticsFamiliarity with data analysis tools or machine learning principlesBackground in economics or financial mathematics
Eligibility
  • Open to international and domestic applicants holding an eligible Bachelor's or Master's degree

Funding & terms

Type
Unknown
Amount
—
Duration
Full-time master's programme
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
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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

Applicants must submit their documentation online through the university's designated admission portals depending on their EU/EFTA status. Each application is reviewed individually on its merits following verification of academic transcripts and language proficiency certificates.

Documents required
  • Bachelor's or Master's degree diploma and transcripts
  • English language proficiency certificate
↗Check programme and admissions

Contact

Lab
Hugo Steinhaus Center
Wrocław University of Science and Technology
Poland
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.