Graduates will be able to apply machine learning and soft computing techniques to solve problems in a variety of domains involving data analysis, pattern recognition, and optimisation. They will also be able to develop innovative human-centred AI systems that are safe, reliable, and easy to use

AT ISKPI
Funded Projects

• Cyber Rapid Analysis for Defense Awareness of Real-time Situation — CyRADARS project (ref. N. SPS G5286) of NATO Science for Peace and Security Programme.
• IPUMS-International: fuzzy and evolutionary methods used to prepare the 5% microfile of the 2001 All-Ukrainian Population Census. Several MT on the integration of fuzzy, evolutionary, and neural methods to solve a wide range of applied problems.
• Collaboration with leading organisations within the National Academy of Sciences of Ukraine: Institute of Cybernetics, Inst. of Software Systems, Inst. for Information Recording and Institute of Mathematical Machines and Systems Problems.
• Internships available at the start-up and spin-off companies like Neurons Lab, co-founded by former ISKPI-UNIVR alumni and Vodafone Ukraine

Graduates will be able to use MSODE methods to develop financial models, manage risk and optimise investment strategies. They will also be able to apply their skills to the circular economy, developing sustainable and efficient production and consumption systems

AT ISKPI

Specialised fintech courses (e.g. on Blockchain) and on stochastic and algorithmic modeling for data analysis and machine learning in finance. Internships/MT opportunities at the associated partners NEURONS LAB and VODAFONE UKRAINE

Graduates will be able to use MSODE methods to develop financial models, manage risk and optimise investment strategies. They will also be able to apply their skills to the circular economy, developing sustainable and efficient production and consumption systems

AT ISKPI
Specialised courses on modelling in health and life sciences. Internships/MT opportunities within EU funded project MSCA-EXCELLENT SCIENCE-AMMODIT (Approximation Methods for Molecular Modelling and Diagnosis Tools)

Many internships/MT projects are dedicated to developing data-driven models for detection and prediction of infectious diseases, modelling of diagnostic screening, prediction and detection of diseases based on analysis of data on functional tissues and biomass accumulation. Strong links with Shupyk National Healthcare University of Ukraine.