Informatics: High Performance Computing and Computational Intelligence (Master of Science - M.Sc.) - Gdańsk University of Technology

The Informatics: High Performance Computing and Computational Intelligence postgraduate programme is an advanced computer science curriculum tailored for students and engineering professionals seeking deep expertise in high-performance computing (HPC) infrastructures and smart, evolutionary computational intelligence architectures. Taught entirely in English, this Master of Science programme delivers comprehensive competencies in the most critical, fast-scaling domains of modern tech.

Throughout the academic curriculum, students undergo rigorous training in big data processing, parallel computing, advanced algorithm design, machine learning (ML), artificial intelligence (AI), data mining, and automated decision support systems. Additionally, the coursework places a strong emphasis on the structural design and hardware-software optimization of massive computing systems, the deployment of high-performance scalable applications, and the real-world application of computational intelligence techniques across diverse industrial verticals. The ultimate goal of the programme is to equip graduates with the problem-solving tools required to tackle complex technical issues and transform them into pioneers capable of leading the fields of advanced computing and artificial intelligence globally.

Career Opportunities

Graduates emerge as highly specialized high-level software and infrastructure engineers, uniquely prepared to handle supercomputing matrixes and sophisticated AI models, securing prominent roles including:

• AI & Machine Learning Engineer: Designing, training, and deploying deep learning models, advanced predictive algorithms, and cognitive AI architectures,
• HPC Systems & Parallel Programming Specialist: Managing supercomputing clusters, developing distributed software, and optimizing system architectures within global cloud giants (e.g., AWS, Google Cloud, Azure) or research labs,
• Big Data Architect & Engineer: Scaling distributed data-processing frameworks (such as Apache Spark, Hadoop) and structuring data pathways for global technology enterprises,
• Data Scientist / Business Intelligence Expert: Engineering smart decision support systems and extracting strategic corporate assets from multi-structured data streams within the banking, healthcare, or autonomous tech sectors,
• R&D Lead or Academic Researcher: Heading cutting-edge innovation teams in multinational technology corporate labs or directly pursuing advanced scientific exploration through international Ph.D. tracks.