Overview
Unlock the potential of data-driven healthcare at Humanitas University through the Data Science in Medicine doctoral program. As a leader in medical education, this institution is dedicated to shaping the next generation of professionals equipped to harness the power of data for medical advancements.
Immerse yourself in a dynamic learning environment that blends rigorous academic training with practical, hands-on experience. Humanitas University propels students towards a future where data science transforms the landscape of medical research and patient care.
The PhD Programme in Data Science in Medicine aims to address some of the main challenges of life sciences in a highly competitive scientific research environment. This 3-year international programme provides advanced training in various fields of life sciences and molecular medicine.
Key Features
- Innovative Curriculum: Engage with a curriculum at the forefront of data science, tailored for applications in medicine.
- Practical Applications: Gain hands-on experience applying data science methodologies to real-world medical scenarios.
- Expert Faculty: Learn from a distinguished faculty of experts in both data science and medicine.
- Collaborative Projects: Work on interdisciplinary projects that integrate data science principles with medical research.
- State-of-the-Art Technology: Access cutting-edge tools and technologies for data analysis and interpretation.
- Industry Connections: Benefit from connections with industry leaders, paving the way for future collaborations and opportunities.
Programme Structure
Research areas include:
- Healthcare Analytics
- Medical Imaging Analysis
- Predictive Modeling in Medicine
- Bioinformatics
- Clinical Informatics
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Disciplines
Medicine Data Science & Big Data View 27 other PhDs in Medicine in ItalyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- 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 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.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Humanitas University and/or in Italy, please visit Student Insurance Portal.
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 EUR per year during 36 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 36 months.
- PhD students are required to pay an annual fee for access and attendance, set at €250.
Living costs for Milano
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Data Science In Medicine.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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