Master's Degree Programme in High-Performance Computing

Study high-performance computing at the Ģֱ. Students who graduate from our programme are multidisciplinary specialists who can perform, solve problems, and learn new skills in research and development tasks requiring sophisticated computing.

Why this programme?

Master emerging technologies with high-performance computing at the Ģֱ

From the Master’s Degree Programme in High-Performance Computing, you will get a strong foundation for understanding and using emerging technologies such as quantum computing, artificial intelligence, and multicore programming in different application areas. 

By choosing this programme, you will learn to develop and apply parallel and distributed computing methods to multidisciplinary problems. Through your studies, you will be able to develop and implement sophisticated data mining and machine learning methods for different types of data.  Additionally, you will be able to keep pace with the rapid development of these technologies and apply them to solve large and challenging computational problems. 

The programme combines knowledge of high-performance computing and computer systems with expertise in computational models and methods in the natural sciences.
Applications for this master's degree programme can be submitted once a year in January, and if you are accepted, your studies will begin in September. From this programme you will graduate with a Master of Science degree. 

Programme info

Applications for master's degree programmes can be submitted once a year in January. 

Master’s Degree Programme in High-Performance Computing is a two-year (120 ECTS) full-time programme taught in English. It is provided together by the Faculty of Mathematics and Science and the Faculty of Information Technology. You can specialise in either Computer Science, Chemistry or Physics. 

The overarching theme of the programme is combining skills in computer science to pressing problems in natural sciences. Many of the scientific challenges related to climate change or energy production and –consumption need the concepts and understanding of natural sciences, the so-called first principles understanding. However, understanding these principles is not enough: one needs people skilled in using computational tools to effectively solve the numerical problems that arise when those principles are applied in real-life situations such as complex materials, the atmosphere or for example biomedical innovations.  

How and when to apply?

  • The application period is in January 2026.
  • You can apply by submitting an online application form. This form is available in the Studyinfo.fi portal during the application period.
  • To apply successfully, you need to have suitable educational background and show proof of your English skills as mentioned in the admission criteria.
  • Applicants also need to submit the required attachments mentioned in the programme-specific admission criteria and on the application form.
  • Students from non-EU/EEA countries are liable to pay a tuition fee. We offer a tuition fee scholarship for students liable to pay tuition fees.

The next call for applications is in January 2026

Student profile

We are looking for students with a suitable higher education degree and adequate proficiency in the English language.  If you have acquired the required skills in programming, data, mathematics, and theoretical computer science outside your formal degree education, relevant proof of this must be provided. 

Career opportunities for HPC graduates

In this programme, we train multidisciplinary specialists able to operate, solve problems, and learn new skills in research and development requiring demanding computational research and development tasks. You will become an expert skilled in driving HPC adoption and knowledge transfer in industry and academia in different strategic domains, thereby making an important contribution to joint industry-academia R&D efforts. 

Possible job titles for graduates of this programme: computer scientist, data scientist, data analyst, software engineer, computational chemist/physicist.  

Additionally, soft skills like responsibility, professionalism, ethics, resource wisdom, goal orientation, and teamwork are part of every graduate's toolbox. 

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Contact us

If you have questions concerning the admission process or the programme, please contact JYU Admission Services: admissions@jyu.fi

About tuition fees and the scholarship programme for students liable to pay tuition fees, please contact the International Office: degree-students@jyu.fi

See more detailed contact information

See also