Academic Degrees: Bachelor, Master and Ph.D.
Unitelematik International Leonhard Euler offers academic training programs at the levels of Bachelor, Master, and Doctor of Philosophy (Ph.D.), designed to meet educational, professional, and personal development needs within an international, quality-oriented framework.
The study programs are structured through coherent and comprehensive curricula that integrate theoretical knowledge, applied skills, and the development of critical thinking, promoting progressive and targeted learning. The educational offer is designed to support both new students and professionals already active in the workforce, through flexible learning models and up-to-date academic content.
Recognition of Prior Learning – VAE/RVE
Within the Bachelor, Master, and Ph.D. programs, students may request a Recognition of Prior Learning through VAE/RVE procedures (Validation of Acquired Experience / Recognition of Prior Learning).
Through this evaluation, courses and subjects may be credited or waived, based on previously acquired academic, professional, or training experience.
Requests for VAE/RVE evaluation must be submitted to the Academic Secretariat, in accordance with the established procedures and timelines, and are subject to assessment by the competent academic bodies.
Validity and Scope of Use of the Degrees
The degrees awarded by Unitelematik International Leonhard Euler are valid and applicable in the following contexts:
- Private sector
- Professional sector
- Curricular purposes
- Private competitive and selection procedures
These qualifications may be used for professional purposes, personal qualification, career advancement, and curriculum enhancement, in compliance with the applicable regulations governing the relevant contexts.
Limitations of Degree Recognition
Unitelematik International Leonhard Euler is a Private Institution.
For this reason, it is important to clearly state that:
- the degrees awarded are not valid for further studies at accredited or state-recognized universities;
- the degrees do not grant access to State Examinations;
- the degrees do not have legal value within public or state university systems.
These limitations do not affect the use of the degrees within the private and professional contexts outlined above and are expressly stated to ensure full transparency for all students. For further information, details, and clarifications, please refer to the page dedicated to the validity and applicability of degrees at the following link:
>> validity and applicability of degrees
Discover our Bachelor’s and Master’s programs
Artificial Intelligence
Bachelor in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine and fundamental foundations in health sciences and computer science.
- Introduction to Artificial Intelligence in Medicine – 5
- Anatomy and Physiology – 5
- Fundamentals of Medical Informatics – 5
- Mathematics for Medicine and AI – 5
- Python Programming for AI – 5
- Statistics and Data Analysis – 5
- Computational Biology – 5
- Ethics and Legislation of AI in Medicine – 5
- Practical Laboratory (150 hours)
- Implementation of basic AI algorithms for medical diagnosis – 5
- Workshop: Discussion of case studies on the use of AI in medical diagnosis – 5
- Machine Learning Models Applied to Medicine – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced study of AI applications in medical diagnosis and introduction to advanced techniques.
- Deep Learning in Medicine – 5
- Medical Imaging and AI – 5
- Natural Language Processing (NLP) in Clinical Contexts – 6
- Advanced Bioinformatics – 5
- Convolutional Neural Networks for Medical Image Analysis – 5
- Data Mining and Healthcare Big Data Analysis – 6
- Medical Decision Support Systems – 5
- Medical Data Security and Privacy – 5
- Practical Laboratory (150 hours)
- Development of an AI application for medical image analysis – 6
- Workshop: Design of AI solutions for real-world clinical cases – 6
- Research Project Management in Medicine and AI – 6
TOTAL: 60 ECTS
Modules – 3rd Year | ECTS
- AI for Early Diagnosis and Prevention – 6
- Genomics and Artificial Intelligence – 6
- Reinforcement Learning Algorithms for Personalized Therapy – 5
- AI Applications for Predictive Medicine – 5
- AI and Medical Robotics – 6
- Machine Learning Systems for Patient Monitoring – 5
- Artificial Intelligence and Telemedicine – 6
- Practical Development Laboratory (150 hours)
Design of an AI solution for a specific medical problem – 6 - Workshop: Innovation and the Future of AI in Medicine – 5
- Final Project and Bachelor’s Thesis – 10
TOTAL: 60 ECTS
Master in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine, with advanced focus on machine learning, bioinformatics, and clinical decision support systems. Students develop both practical and theoretical foundations through laboratories and workshops.
- Advanced Artificial Intelligence Fundamentals – 6
- Machine Learning and Deep Learning – 5
- Natural Language Processing for Healthcare – 5
- Advanced Bioinformatics – 6
- AI for Diagnostic Imaging – 6
- Clinical Decision Support Systems – 5
- Medical Data Analysis – 5
- Machine Learning for Personalized Medicine – 5
- AI in Medicine Laboratory (200 hours) – 6
- Ethics and Legislation of AI in Medicine – 6
- Workshop on Innovation in Digital Health – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced application of AI in predictive medicine, medical robotics, and healthcare data security. Students develop complex projects and complete a final thesis, applying innovative solutions in the medical field.
- AI for Predictive Medicine – 6
- Advanced Medical Robotics – 6
- Telemedicine Technologies and AI – 5
- Biomedical Data Security and Privacy – 5
- AI for Clinical Genomics – 6
- AI Systems Design Laboratory (200 hours) – 5
- AI for Patient Monitoring – 6
- Trends in Digital Health Innovation – 6
- Workshop on AI Solutions in Hospital Settings – 5
- Final Project and Master’s Thesis – 10
TOTAL: 60 ECTS
Artificial Intelligence
Bachelor in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine and fundamental foundations in health sciences and computer science.
- Introduction to Artificial Intelligence in Medicine – 5
- Anatomy and Physiology – 5
- Fundamentals of Medical Informatics – 5
- Mathematics for Medicine and AI – 5
- Python Programming for AI – 5
- Statistics and Data Analysis – 5
- Computational Biology – 5
- Ethics and Legislation of AI in Medicine – 5
- Practical Laboratory (150 hours)
- Implementation of basic AI algorithms for medical diagnosis – 5
- Workshop: Discussion of case studies on the use of AI in medical diagnosis – 5
- Machine Learning Models Applied to Medicine – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced study of AI applications in medical diagnosis and introduction to advanced techniques.
- Deep Learning in Medicine – 5
- Medical Imaging and AI – 5
- Natural Language Processing (NLP) in Clinical Contexts – 6
- Advanced Bioinformatics – 5
- Convolutional Neural Networks for Medical Image Analysis – 5
- Data Mining and Healthcare Big Data Analysis – 6
- Medical Decision Support Systems – 5
- Medical Data Security and Privacy – 5
- Practical Laboratory (150 hours)
- Development of an AI application for medical image analysis – 6
- Workshop: Design of AI solutions for real-world clinical cases – 6
- Research Project Management in Medicine and AI – 6
TOTAL: 60 ECTS
Modules – 3rd Year | ECTS
- AI for Early Diagnosis and Prevention – 6
- Genomics and Artificial Intelligence – 6
- Reinforcement Learning Algorithms for Personalized Therapy – 5
- AI Applications for Predictive Medicine – 5
- AI and Medical Robotics – 6
- Machine Learning Systems for Patient Monitoring – 5
- Artificial Intelligence and Telemedicine – 6
- Practical Development Laboratory (150 hours)
Design of an AI solution for a specific medical problem – 6 - Workshop: Innovation and the Future of AI in Medicine – 5
- Final Project and Bachelor’s Thesis – 10
TOTAL: 60 ECTS
Master in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine, with advanced focus on machine learning, bioinformatics, and clinical decision support systems. Students develop both practical and theoretical foundations through laboratories and workshops.
- Advanced Artificial Intelligence Fundamentals – 6
- Machine Learning and Deep Learning – 5
- Natural Language Processing for Healthcare – 5
- Advanced Bioinformatics – 6
- AI for Diagnostic Imaging – 6
- Clinical Decision Support Systems – 5
- Medical Data Analysis – 5
- Machine Learning for Personalized Medicine – 5
- AI in Medicine Laboratory (200 hours) – 6
- Ethics and Legislation of AI in Medicine – 6
- Workshop on Innovation in Digital Health – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced application of AI in predictive medicine, medical robotics, and healthcare data security. Students develop complex projects and complete a final thesis, applying innovative solutions in the medical field.
- AI for Predictive Medicine – 6
- Advanced Medical Robotics – 6
- Telemedicine Technologies and AI – 5
- Biomedical Data Security and Privacy – 5
- AI for Clinical Genomics – 6
- AI Systems Design Laboratory (200 hours) – 5
- AI for Patient Monitoring – 6
- Trends in Digital Health Innovation – 6
- Workshop on AI Solutions in Hospital Settings – 5
- Final Project and Master’s Thesis – 10
TOTAL: 60 ECTS
Artificial Intelligence
Bachelor in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine and fundamental foundations in health sciences and computer science.
- Introduction to Artificial Intelligence in Medicine – 5
- Anatomy and Physiology – 5
- Fundamentals of Medical Informatics – 5
- Mathematics for Medicine and AI – 5
- Python Programming for AI – 5
- Statistics and Data Analysis – 5
- Computational Biology – 5
- Ethics and Legislation of AI in Medicine – 5
- Practical Laboratory (150 hours)
- Implementation of basic AI algorithms for medical diagnosis – 5
- Workshop: Discussion of case studies on the use of AI in medical diagnosis – 5
- Machine Learning Models Applied to Medicine – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced study of AI applications in medical diagnosis and introduction to advanced techniques.
- Deep Learning in Medicine – 5
- Medical Imaging and AI – 5
- Natural Language Processing (NLP) in Clinical Contexts – 6
- Advanced Bioinformatics – 5
- Convolutional Neural Networks for Medical Image Analysis – 5
- Data Mining and Healthcare Big Data Analysis – 6
- Medical Decision Support Systems – 5
- Medical Data Security and Privacy – 5
- Practical Laboratory (150 hours)
- Development of an AI application for medical image analysis – 6
- Workshop: Design of AI solutions for real-world clinical cases – 6
- Research Project Management in Medicine and AI – 6
TOTAL: 60 ECTS
Modules – 3rd Year | ECTS
- AI for Early Diagnosis and Prevention – 6
- Genomics and Artificial Intelligence – 6
- Reinforcement Learning Algorithms for Personalized Therapy – 5
- AI Applications for Predictive Medicine – 5
- AI and Medical Robotics – 6
- Machine Learning Systems for Patient Monitoring – 5
- Artificial Intelligence and Telemedicine – 6
- Practical Development Laboratory (150 hours)
Design of an AI solution for a specific medical problem – 6 - Workshop: Innovation and the Future of AI in Medicine – 5
- Final Project and Bachelor’s Thesis – 10
TOTAL: 60 ECTS
Master in Artificial Intelligence and Medicine
Modules – 1st Year | ECTS
Main objectives: Introduction to Artificial Intelligence (AI) applied to medicine, with advanced focus on machine learning, bioinformatics, and clinical decision support systems. Students develop both practical and theoretical foundations through laboratories and workshops.
- Advanced Artificial Intelligence Fundamentals – 6
- Machine Learning and Deep Learning – 5
- Natural Language Processing for Healthcare – 5
- Advanced Bioinformatics – 6
- AI for Diagnostic Imaging – 6
- Clinical Decision Support Systems – 5
- Medical Data Analysis – 5
- Machine Learning for Personalized Medicine – 5
- AI in Medicine Laboratory (200 hours) – 6
- Ethics and Legislation of AI in Medicine – 6
- Workshop on Innovation in Digital Health – 10
TOTAL: 60 ECTS
Modules – 2nd Year | ECTS
Main objectives: Advanced application of AI in predictive medicine, medical robotics, and healthcare data security. Students develop complex projects and complete a final thesis, applying innovative solutions in the medical field.
- AI for Predictive Medicine – 6
- Advanced Medical Robotics – 6
- Telemedicine Technologies and AI – 5
- Biomedical Data Security and Privacy – 5
- AI for Clinical Genomics – 6
- AI Systems Design Laboratory (200 hours) – 5
- AI for Patient Monitoring – 6
- Trends in Digital Health Innovation – 6
- Workshop on AI Solutions in Hospital Settings – 5
- Final Project and Master’s Thesis – 10
TOTAL: 60 ECTS
Chimica
La Conoscenza della Cimica oggigiorno è necessaria in diversi campi, da quello alimentare a quello cosmetologico a quello farmaceutico…
Filosofia
La Filosofia non è solo Conoscenza nel campo del Pensiero ma anche della Comunicazione e viene applicato in molti settori…
Lingue
Le Lingue sono uno strumento cominicativo necessaria in moltio ambiti lavorativi e di cui non se ne può fare a meno…
Economia, Politica e Sociale
Le Scienze Conomiche, Politiche e Sociali, abbracciamo molti ambiti e si sviluppano in molte direzioni…
Alimentazione e Gastronomia
I Percorsi nelle Scienze della Alimentazione e Gastronomia ti proiettano in un mondo lavorativo dove vi è molta richiesta…
Informatica
Il campo dell’Informatica è richiesta in tutti i settori lavorativi. La programmazzione e la progettazzione invece è in pieno sviluppo…
Criminologia Forense
L’Utilizzo di Tecniche Crimologiche vengono richieste da molte aziende. E’ una professione in pieno sviluppo…
Turismo
Le Scienze Turistiche sono richieste in molte città in tutto il mondo. La Conoscenza nel campo permette ai candidati di partecipare a molteplici offerte di lavoro….
Sport
I vari settori nelle Scienze dello Sport aprono le porte lavorative in molti settori sportivi…