High Performance Computing and Machine Learning is a unique course in Cyprus that combines computational modelling, large-scale simulations, and Artificial Intelligence (AI) technologies, as well as their applications across disciplines. Digitalisation and advanced instruments and sensors are producing unprecedented large amounts of data that need large-scale computing to analyse them. At the same time, the availability of exascale computers is creating new opportunities for studying complex systems using large-scale simulations.

All disciplines, such as environmental, biological, chemical, physical sciences, finance and economics, engineering and the humanities need to use computational and data science-based approaches to address the current and future data challenges. Simulation and machine learning are also widely used methodologies for SMEs and industry at large. The programme also aims to introduce students to novel computer architectures, such as quantum computers, that can be developed as the computing systems of the future.

The Master of Science (MSc) / Master of Philosophy (MPhil) in “High Performance Computing and Machine Learning” is a programme that provides a unique interdisciplinary approach to solving critically important problems, using computational modelling, applied mathematics, simulation approaches and machine learning and computing methodologies with applications in a very broad of fields such as the physical sciences, engineering, and biology. Through modelling, simulation, machine learning, and the study of specific phenomena via computer analysis, students will learn to apply computation and data science to gain new insights.

The objective of the program is to prepare students for a career as computational and data scientists in academia as well as in the private and public sectors. Students may also pursue doctoral studies in a variety of computational and data science related fields.

Combining theoretical with practically focused training using state-of-the-art supercomputers, the MSc/MPhil in High Performance Computing and Machine Learning program aims to provide a well-rounded education for students who wish to advance careers in the digital age.

Degree Awarded

MSc in High Performance Computing and Machine Learning

The MSc is a one-year program. During the first two semesters (Fall and Spring), students earn 50 ECTS through courses and 10 ECTS through one mandatory internship.

First (Fall) Semester: Students attend four mandatory courses (30 ECTS), which provide them with the necessary computer programming and software engineering background to solve complex problems by numerical methods and high performance computing (HPC). At the same time, the mandatory courses introduce students to data science, big data analysis and statistics, as well as to both theoretical and practical concepts in machine learning, data mining and pattern recognition.

Second (Spring) Semester: Students attend elective courses (20 ECTS) and implement one mandatory internship (10 ECTS) of a duration of up to 3 weeks, either internally in one of the institute’s labs or externally in the industry (private/public sector), giving them the opportunity to design their study program in consultation with their mentor.

Summer term: Students earn an additional 15 ECTS while working on their Master’s research project.

Final four-week Fall term: Students complete their program while working on their Master’s research project, which is submitted in the form of a written Master’s thesis and is defended earning 15 ECTS.

MPhil in High Performance Computing and Machine Learning

The MPhil is a one-and-a-half-year program. During the first two semesters (Fall and Spring), students earn 50 ECTS through courses and 10 ECTS through one mandatory internship (which continues in the summer term).

First (Fall) Semester: Students attend four mandatory courses (30 ECTS), which provide them with the necessary computer programming and software engineering background to solve complex problems by numerical methods and high performance computing (HPC). At the same time, the mandatory courses introduce students to data science, big data analysis and statistics, as well as to both theoretical and practical concepts in machine learning, data mining and pattern recognition.

Second (Spring) Semester: Students attend elective courses (20 ECTS) and implement one mandatory internship (10 ECTS), of a duration of up to 3 months (continuing in the summer term), either internally in one of the institute’s labs or externally in the industry (private/public sector), giving them the opportunity to design their study program in consultation with their mentor.

Summer term: Students earn an additional 15 ECTS while working on their mandatory internship

Third (Fall) Semester: Students earn an additional 5 ECTS from the completion of the internship and 25 ECTS while working on their Master’s research project.

Final eight-week Spring term: Students complete their program while working on their Master’s research project, which is submitted in the form of a written Master’s dissertation and is defended earning 15 ECTS. 

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Career Prospects

The objective of the program is to prepare students for a career as computational and data scientists in academia, and in the private and public sectors. Students may also pursue doctoral studies in a variety of computational and data science related fields. Combining theoretical with practically focused training using state-of-the-art supercomputers, the Master of Science (MSc) / Master of Philosophy (MPhil)  in High Performance Computing and Machine Learning program aims to provide a well-rounded education for students who wish to advance careers in the digital age.

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Program Structure and Requirements

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Program Courses

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Academic Calendar

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