LEAP: unLocking carEer potentiAl with comPlex systems, data analytics and machine learning

The programme aims to bridge the gap between academic education and the demands of the labour market in the ICT sector. Through the development of an innovative, flexible, and personalised training curriculum, the project seeks to equip students, graduates, and professionals with up-to-date skills in Data Analysis (DA), Machine Learning (ML), Statistics, Programming, and Complex Systems. The programme places particular emphasis on experiential learning and the practical application of knowledge in realistic scenarios and industry-relevant challenges, offering learners meaningful hands-on experience and strengthening their ability to meet the demands of today’s job market. Learners will be equipped to pursue roles in the rapidly growing fields of Data Analytics and Machine Learning, as well as in related areas that require analytical and computational skills. They will gain the necessary qualifications for positions such as data analyst, machine learning engineer, data scientist, and for supporting roles in a variety of technological projects and environments. The programme is ideal for individuals seeking reskilling or upskilling opportunities as part of lifelong learning, actively supporting professional transition and career development. It is also suitable for beginners or individuals with a non-technical (non-STEM) background, providing them with the necessary tools to integrate analytical and computational techniques into their current work or to transition professionally into the ICT sector.