University of Technology
Applied mathematics
Master's Programme
Mode of studies: 
full-time programme
3 semesters
Tuition fee: 
non EU/EFTA students 2000 EUR tuition fee per semester, EU/EFTA students no tuition fee
Degree awarded: 
Scholarships available: 
Based on merit
Application deadline: 
Tuesday, 30 November, 2021
Day of semester start: 
Tuesday, 1 February, 2022
Credits (ECTS): 
Admission requirements: 

Requirements: Bachelor's or Master's Degree in Applied Mathematics, Control Engineering and Robotics, Economics, Electronics, Electronics and Telecommunications,
Computational Physics, Technical Physics, Physics, Computer Science, Computer Science and Econometrics, Industrial Computer Science, Applied Computer Science, Data Engineering,
Quantum Engineering, Systems Engineering, Mathematics, Mathematics and Statistics, Mathematics in Technology, Computational Mathematics, Teleinformatics, Telecommunications and related domains obtained either in Poland or abroad. Each application is assessed individually on its merits.

» Deadline for application: 
Non EU/EFTA students see: www.admission.pwr.edu.pl EU/EFTA students see: www.rekrutacja.pwr.edu.pl
» English: Equivalent of minimum TOEFL IBT – 87 points or 6.5 points IELTS. List of accepted language certificates can be checked online

Field of study: Applied Mathematics
The programme, offered by the Faculty of Pure and Applied Mathematics and run in a cooperation with the Hugo Steinhaus Center, is based on educational standards of the European Consortium for Mathematics in Industry (ECMI) that is confirmed by the status of ECMI Teaching Center Wrocław University of Science and Technology obtained in 2014. The curriculum is oriented towards real-life applications and industrial problems in educational style and contents. The goal of the studies is the real world applied mathematics education of specialists who are well prepared not only for work in the international financial institutions or enterprises, but also for any situation in which the creative thinking is needed. The graduates have no problems with finding good jobs in the finance and insurance or industrial sectors in Poland and abroad. The MSc diploma offers an opportunity to continue education at Ph.D. studies. 
The programme offers four main specialties: 
» Financial and Actuarial Mathematics 
» Mathematics for Industry and Commerce 
» Data Engineering 
» Modelling, Simulation and Optimization
» Economathematics 
» Partial Differential Equations with Applications in Physics and Industry 
» Life Insurance Models 
» Social Elective Subject 
» Foreign Language 
» Elective Course 
» Elective Course 
» Optimization Theory 
» Agent-based Modelling of Complex Systems 
» Social Elective Subject 
» Foreign Language 
» Elective Course 
» Elective Course 
» Elective Course 
» Diploma Thesis 
» Diploma Seminar 
» Elective Course
Elective Courses 
» Financial Risk Management
» Computational Finance
» Insurance Models for Industry
» Reserves in Life and Non-life Insurance
» Risk Management in Insurance
» Numerical Methods in Differential Equations
» Introduction to Applied Fluid Dynamics
» Perturbation Methods
» Applied Functional Analysis
» Non-linear Methods
» Introduction to Inverse Problems
» Free Boundary Problems
» Diffusion Processes on Complex Networks
» Analysis of Unstructured Data
» Statistical Packages
» Computer Simulations of Stochastic Processes
» Estimation Theory
» Mathematical Image Processing
» Queues and Communication Networks
» Advanced Topics in Dynamic Games
» Operations Research
» Optimal Control
» Introduction to Big Data Analytics
» Data Mining
» Machine Learning
» Introduction to Compressed Sensing
The graduates will have obtained knowledge in mathematics and economics/finance; experience in pricing financial and actuarial contracts, modelling, simulation
and optimisation, computational methods and data science. They will be prepared for solving problems in the financial/actuarial and industrial sectors and gaining information
from the literature and other sources. They will possess organisational skills and experience necessary for a professional career in research units, industry and at universities and colleges.