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Submit an Application: https://kedivim.auth.gr/application-leap/
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UPDATE:
– The “Machine Learning and applications” course will start on 19/01/2026.
– The “Data Analytics and Statistics” course will start on 23/03/2026.
– The “Complex Systems and applications” course will start on 23/03/2026.
If you have already submitted an application AND you have received an email from us you DON’T have to resubmit.
As for NEW applications, for those who have NOT already been accepted:
– For the “Machine Learning and applications” course applications will be open from 12/01/2026 to 15/01/2026
– For the “Data Analytics and Statistics” course applications will be open from 16/03/2026 to 23/03/2026
– For the “Complex Systems and applications” course applications will be open from 16/03/2026 to 23/03/2026
Please also check www.leaperasmusplus.eu regularly for updates.
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The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to “LEAP: unLocking carEer potentiAl with comPlex systems, data analytics and machine learning”, a 471-hour, 3-course programme via e-learning (100% online and asynchronous).
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.
The programme includes three courses:
Each course awards a certificate worth 5 ECTS credits.
Participants may choose to attend ANY number/combination of the available courses and will be awarded the corresponding number of ECTS credits for each course successfully completed.
The Scientific Director of the Programme is Panagiotis Argyrakis, Emeritus Professor, School of Physics, Faculty of Sciences, Aristotle University of Thessaloniki.
Prof. Panos Argyrakis has authored over 400 publications in international peer-reviewed journals, conference proceedings, and books. His work has received approximately 5,000 citations, with an h-index of 36. He has served as a scientific reviewer for numerous international journals and has acted as Scientific Director in more than 50 European and national research projects.
Start Date of Course “Machine Learning and applications”: 19/01/2026
End of Course “Machine Learning and applications”: 22/03/2026
Duration of Course “Machine Learning and applications” (hours): 108
Cost (Machine Learning and applications): 0
Certificate/ECTS for Course : 5 ECTS
Start Date of Course “Data Analytics and Statistics”: 23/03/2026
End of Course “Data Analytics and Statistics”: 17/05/2026
Duration of Course “Data Analytics and Statistics” (hours): 108
Cost (Data Analytics and Statistics): 0
Certificate/ECTS for Course 1 (Data Analytics and Statistics): 5 ECTS
Start Date of Course “Complex Systems and applications”: 23/03/2026
End of Course “Complex Systems and applications”: 17/05/2026
Duration of Course “Complex Systems and applications” (hours): 96
Cost (Complex Systems and applications): 0
Discount (Complex Systems and applications): N/A
Certificate/ECTS for Course “Complex Systems and applications”: 5 ECTS
Teaching Staff (Data Analytics and Statistics)
Panagiotis Argyrakis, Emeritus Professor, School of Physics, Aristotle University of Thessaloniki
Euripides Hatzikraniotis, Professor, School of Physics, Aristotle University of Thessaloniki
Maria Tsouchnika, Post-doctoral Researcher, School of Physics, Aristotle University of Thessaloniki
Teaching Staff (Data Analytics and Statistics)
Guido Caldarelli, Full Professor, Theoretical Physics, Ca’ Foscari University of Venice
Fredrik Liljeros, Full Professor, Sociology, Stockholm University and Affiliated to Research, Department of Global Public Health, Karolinska Institute
Alessandro Codello, Assistant Professor, Theoretical Physics, Ca’ Foscari University of Venice
Rahul Ramakrishnan, Post-doctoral Researcher at Ca’ Foscari University of Venice
Panagiotis Argyrakis, Emeritus Professor, School of Physics, Aristotle University of Thessaloniki
Euripides Hatzikraniotis, Professor, School of Physics, Aristotle University of Thessaloniki
Maria Tsouchnika, Post-doctoral Researcher, School of Physics, Aristotle University of Thessaloniki
Teaching Staff (Complex Systems and applications)
Gulistan Cigdem Yalcin, Associate Professor Physics Department, Istanbul University
Guido Caldarelli, Full Professor, Theoretical Physics, Ca’ Foscari University of Venice
Fredrik Liljeros, Full Professor, Sociology, Stockholm University and Affiliated to Research, Department of Global Public Health, Karolinska Institute
Alessandro Codello, Assistant Professor, Theoretical Physics, Ca’ Foscari University of Venice
Panagiotis Argyrakis, Emeritus Professor, School of Physics, Aristotle University of Thessaloniki
Euripides Hatzikraniotis, Professor, School of Physics, Aristotle University of Thessaloniki
Maria Tsouchnika, Post-doctoral Researcher, School of Physics, Aristotle University of Thessaloniki
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