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Master

Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS)

Varighet
2 år
Undervisning
Heltid/deltid
Studielån/Stipend
Kontakt lånekassen
Undervisningsform
Klasserom
Neste startdato
Undervisningsspråk
Engelsk
Varighet
2 år
Undervisning
Heltid/deltid
Studielån/Stipend
Kontakt lånekassen
Undervisningsform
Klasserom
Neste startdato
Undervisningsspråk
Engelsk

Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS)

Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS)

The 2-year Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS) is an exciting new learning opportunity. It is designed to train a professional figure with an understanding of the healthcare sector and the theoretical and practical knowledge required to implement AI and Machine Learning methods.

Entirely taught in English, the course stems from the large medical, biological and healthcare experience in medicine provided by Humanitas University and its joint Hospital networks, and the large experience in AI, data science and data analytics from Bocconi University.

The partnership between Humanitas University and Bocconi University will guarantee training in medical biology, statistics, mathematics and computer science in the pursuit of improved care and quality of life for patients.

For kontakt eller mer informasjon om Master’s Degree in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS), vennligst fyll inn en interessemelding.

Kommende startdatoer

1 tilgjengelig startdato

Høst

  • Klasserom
  • Milano
  • Engelsk

Videre studier/jobbmuligheter

This Master’s Degree Course aims to train professional figures with an understanding of the healthcare sector and deep knowledge of the theoretical and practical knowledge required to implement AI and machine learning methods in that sector.

The role of Data Scientist in Health Sciences

Graduates in this role will effectively extract, analyze, model and interpret health data through the application of state-of-the-art analytical techniques derived from statistics, machine learning and artificial intelligence, to obtain answers useful for scientific research. They will also interpret clinical-diagnostic-therapeutic pathways, understand the demands of clinicians and basic researchers, as well as identify software tools needed for clinical and biological data processing and analysis. Lastly, they will design and conduct scientific studies in the field of medicine and health sciences by collaborating effectively with health professionals and researchers from different disciplines.

They may be employed by a variety of employers, including: research institutions, pharmaceutical and biotechnology industries, health technology companies, public bodies and government institutions, hospitals and healthcare organizations, startups in the healthcare industry, consulting and professional services and research institutions.

Graduates of the program will be able to:

  • Design and implement a complete process of statistical analysis of health data, from acquisition to extraction of the information of interest, with a special focus on methods and algorithms from Machine Learning and Artificial Intelligence
  • Build predictive models from data
  • Design and develop software to perform the analysis and interpret the results of health data analysis
  • Represent and communicate the results from analyses
  • Describe and implement procedures for the protection of data quality, privacy and intellectual property

Studiefakta, Tittel m.m

1stYear

The first year takes place mainly at Bocconi University, with one final bimester held at Humanitas. This allows students to gain fundamental and core basic knowledge, in both data science and the medical-biological field.

The first year of the program is divided into four bimesters:

1stbimester – Bocconi University

Foundational courses in Advanced Statistics for the Health Sciences, and Advanced Computer Programming.

2ndbimester – Bocconi University

Foundational courses in Artificial Intelligence and Machine Learning, plus a specific focus on the privacy, ethical and regulatory issues associated with healthcare.

3rdbimester – Bocconi University

This bimester builds upon the core technical knowledge acquired in the first two bimesters, with additional training in artificial intelligence and on the functioning of data systems in healthcare; students will also have the opportunity to choose among different elective courses, including the topics of causal inference, natural language processing, and computer modelling.

4thbimester – Humanitas University

Focus on biological and clinical knowledge.

2ndYear

The whole second year takes place at Humanitas University, where students will take additional courses and will be exposed to problems within the reality of a large teaching hospital, working on biological and clinical data. Courses, seminars and labs focus on the application of advanced technologies in the clinical and biological sciences.

The second year allows students to personalize their path through hands-on learning experiences, such as electives, an internship and the thesis.

Kostnader

€20.156 per academic year

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Humanitas University
Via Rita Levi Montalcini
20090

The pillars of Humanitas University’s project are:

Humanitas University - an international University dedicated to Life Sciences based in Milan, Italy. Closely integrated with the world class Hospital and Research Centre, Humanitas University’s mission is to train globally minded healthcare professionals through state-of-the-art interactive teaching methods and...

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