Masters in Computational and Applied Mathematics (Computational Methods and HPC)
VSB - Technical University of Ostrava
Key Information
Campus location
Ostrava, Czech Republic
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
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Application deadline
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Earliest start date
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Introduction
Masters in Computational and Applied Mathematics (Computational Methods and HPC)
The follow-up Master Study Program is divided into two specializations (Applied Mathematics, Computational Methods and HPC) and is designed for graduates from both technical study programs and natural science study programs. Students that graduate from specialization Applied Mathematics will comprehend connections and continuity between individual fields of mathematics, especially Numerical Analysis, Statistics, and Discrete Mathematics. They will learn to employ the above knowledge to deal with practical problems by tracing their underlying mathematical structure. They will learn to design the corresponding mathematical model and solve it using appropriate mathematical methods. Students that graduate from specialization Computational Methods and HPC are focused more to implement parallel mathematical methods effectively on modern computer architectures including supercomputers.
Admissions
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Curriculum
Semester 1
- Equations of Mathematical Physics
- Functions of a Complex Variable
- Introduction to Functional Analysis
- Introduction to HPC systems
- Mathematical Seminar I
- Safety in Electrical Engineering
Semester 2
- Introduction to programing of HPC systems
- Mathematical Seminar II
- Numerical Methods II
- Parallel Numerical Libraries
- Variational Methods
Semester 3
- Computational seminar
- Diploma Project I
- Mathematical Seminar III
- Statistics II
Semester 4
- Advanced methods of programing of HPC systems
Program Outcome
Graduate's knowledge
The graduate has a broad knowledge of applied mathematics and informatics. He specializes in the use of modern methods of applied mathematics in various fields. The offer of special subjects, which are not part of state final examinations, enables students to acquire deeper knowledge in selected areas. Due to solid knowledge of applied mathematics and computer science, the graduate has all the prerequisites for flexible adaptation according to practice requirements, including research and development.
The graduate of specialization of Applied Mathematics is able to find mathematical structure in the practical problems and to create and subsequently solve relevant mathematical models, thanks to knowledge of relations and relationships between the various branches of mathematics (especially numerical analyzes, statistics and discrete mathematics).
The graduate of the Computing and HPC specialization is more oriented towards efficient (parallel) implementation of mathematical methods and the use of modern computer architectures, including supercomputers.
Graduate's skills
Graduates of the study program at graduation can independently define and creatively solve a theoretical or practical problem in the field of computational and applied mathematics. Using selected theories, concepts and methods, they can solve a complex problem in a self-contained and creative manner and gain new original information.
Program Tuition Fee
Career Opportunities
Graduate's employment
The graduate can find his/her application in practically all areas of IT and applied mathematics, regardless of their focus.
Graduates apply not only in IT, science and research, but thanks to a certain universality of mathematics (and computer science) and learned skills to quickly adapt can apply to any field. Many of the graduates are employed as scientific staff at the IT4Innovations National Supercomputing Center, others work as university teachers, programrs, analysts, consultants, etc.
Graduates can continue their Ph.D. studies in Computational and Applied Mathematics or in parallel computing and HPC.