PhD in Data Science In Medicine (DASME)
The DASME PhD Programme addresses challenges in the life sciences field and in the scientific and clinical research training field. The PhD has an international dimension because of its structure, the course is held in English, for enrolled non-Italian PhD students and for the involvement of foreign teachers. Part of the training activities are carried out within European projects.
The PhD takes up the challenge of recent years to analyze a large amount of data (big data) in a systematic way by means of effective algorithms, in order to find common elements, in an attempt to predict the clinical response from the view point of medicine and precision nutrition. The PhD offers specific training on enabling technologies, such as homics, bioinformatics, imaging, sequencing and flow cytometry. The training is enriched by seminars held by foreign lecturers (Visiting Professor, Guest Lecturer). The course provides a stimulating environment through the organization of Journal clubs, informal exchanges between disciplines, encouragement of researcher independence and training abroad.
The objective of this PhD programme is to train experts in basic, clinical and industrial research so that they can pursue a career in research, clinical or academic fields. In particular, for non-medical PhDs, the best job opportunities will be in biotechnology and bioinformatics companies, in public and private research sectors, and in academia. In this context, the interdisciplinary nature of their training will help them to rapidly transfer new knowledge from basic science to bio-medicine and clinical practice in order to generate new advanced diagnostic and therapeutic applications in the field of precision medicine. The best job opportunities for those who carry out clinical activities will be in research, in clinical settings or in academia, in particular in clinical facilities involved in research and training where they can contribute to the development of leading clinical research teams in their fields of specialisation. The strongly international and interdisciplinary approach of the PhD course will give students the opportunity to establish themselves in positions with a worldwide perspective.
|PhD Coordinator: Prof. Rosanna Asselta|
The number of available places and/or scholarships may increase in the event that external funding becomes available by the deadline set for the completion of the call application procedure.
|Beginning of the academic year
1st December 2023
11th July 2023
|Regolamento PhD Data Science in Medicine|
|For further information you can contact email@example.com|
|Linguistics||As part of the PhD course, students will be given the opportunity to attend courses in scientific English and scientific communication in order to acquire specific communication and technical language skills that foster their further professional development and their ability to disseminate.|
|Computer Science||The course includes a series of training activities, including the use of IT tools. Knowledge in these areas is mainly provided through teacher-led lessons on the subject, such as machine learning for biomedicine, genetics of complex traits, as well as bioinformatics lessons that will be organized by the University and supervised by reference teachers.|
|Management of research, knowledge of research systems and funding systems||The course includes a series of training activities in the field of research management skills and the main sources of funding. Knowledge in these areas is mainly provided through seminars. The University provides training activities, in the field of research management, knowledge of how to access funding sources.|
|Valorisation of research results and intellectual property||The course includes initiatives and activities for the protection and valorisation of intellectual property. Knowledge in these areas is mainly provided through seminars. The University also carries out training activities in the field of intellectual property.|
|Scientific Methods||I||Rosella Visintin||1,5|
|Science Ethics||II + III||Mattia Andreoletti||1|
|Artificial Intelligence||all years||Riccardo Barbieri||2|
|Scientific Writing||II||Miriam Alcalay||1,5|
|Bioinformatics||all years||Simone Puccio||1|
|Biostatistics – basic||I||Daniele Piovani||2,5|
|Biostatistics – advanced||all years||Stefano Bonovas||1|
Data Science in Medicine Curriculum
Applicants wishing to enrol on the PhD course in Data Science in Medicine, must either have a “laurea magistrale” awarded in accordance with D.M. 270/2004 or equivalent qualification awarded by a foreign university (usually referred to as a Master’s Degree), in one of the subjects listed in the official call for applicants.
Applicants who are waiting to be awarded the required qualification at the date of submission can also take part in the selection process providing they have passed all of the Degree course exams at the time of the online application and are awarded the qualification by the final deadline indicated in the call for applicants. In the event these applicants pass the selection process, their enrolment on the PhD course is conditional upon providing proof that the qualification is awarded.
Data Science in Medicine – Clinical Curriculum
Applicants wishing to enrol on the PhD Course in Datascience in Medicine – Clinical Curriculum must:
- be enrolled on the Medical Register
- already possess a specialist medical qualification
Alternatively, applications will also be taken from doctors in specialist training who will enrol in the final year in a School of Specialisation at Humanitas University.
Fees and Scholarships
PhD students are required to pay an annual fee for access and attendance, set at €250,00 for the academic year 2023/2024, including the regional tax and stamp duty.
Detailed information about each topic’s scholarship or equivalent contract can be found in the research topics table below, by clicking on each topic ID.
How to Apply
- Registration or access with your LOGINMIUR credentials
- Application form submission
- Payment of the application contribution
The application form must be completed in all its parts, on penalty of exclusion. In particular, applicants must submit all of the following documents in PDF format:
- Curriculum vitae
- Motivation letter
- Copy of a valid ID or passport (for Non-EU citizens)
- Diploma Supplement
- Copy of the receipt of payment of €30,00
Additionally, applicants may indicate name and contacts of maximum two referees, preferably chosen among those who have had a supervising role of the candidates. The referees will be directly contacted by Humanitas University and asked to complete a brief letter of reference, which should be sent by 14th July.
Further details about the application procedure will be reported in the official call for applicants.
Admission to the PhD Programme is based on a public selection process consisting of
- the comparative evaluation of the titles and qualifications and
- an interview carried out in English by a Committee composed of a maximum of seven members.
The aim of the selection process is to assess the knowledge, competencies and aptitude of the applicants for scientific research as well as their motivation for undertaking the PhD programme.
Prior to the interview, applicants may be asked to take a multiple-choice test, aimed at assessing the applicant’s specific knowledge in the fields of the research projects of the Campus.
A good knowledge of English is required and will be tested during the interview.
Should reasons justify it, the test and interview can be conducted via video-conference. Those who intend to conduct the interview via video-conference or request special assistance should specify this on the application form.
PhD Coordinator: Professor Rosanna Asselta
|Alessio Aghemo||Humanitas Universityfirstname.lastname@example.org|
|Nicolò Buffi||Humanitas Universityemail@example.com|
|Stefanos Bonovas||Humanitas Universityfirstname.lastname@example.org|
|Maurizio Cecconi||Humanitas Universityemail@example.com|
|Matteo Donadon||Humanitas Universityfirstname.lastname@example.org|
|Ana Lleo De Nalda||Humanitas Universityemail@example.com|
|Silvia Carrara||Istituto Clinico Humanitasfirstname.lastname@example.org|
|Giampaolo Perna||Humanitas Universityemail@example.com|
|Giulio Stefanini||Humanitas Universityfirstname.lastname@example.org|
|Politi Letterio||Humanitas Universityemail@example.com|
|Asselta Rosanna||Humanitas Universityfirstname.lastname@example.org|
|Alesandro Repici||Humanitas Universityemail@example.com|
|Mario Romano||Humanitas Universityfirstname.lastname@example.org|
|Giovanni Lughezzani||Humanitas Universityemail@example.com|
|Wim Oyen||Humanitas Universityfirstname.lastname@example.org|
|Enrico Heffler||Humanitas Universityemail@example.com|
|Roberto Rusconi||Humanitas Universityfirstname.lastname@example.org|
|Massimiliano Greco||Humanitas Universityemail@example.com|