Overview
The phenomenon of big data has revolutionized countless sectors of economic-social activity. The phenomenon of big data has also profoundly modified the research methodologies and the development of technological innovation in numerous disciplines and applications.
Aims
The main objective of this PhD at Sapienza University of Rome is the realization of interdisciplinary research projects of Data Science that lead to the development of innovative methodologies and technologies based on the use of big data in the following fields of application:
- Advanced digital platforms,
- Management of urban spaces and environmental resources
- Medicine and health
- Economic and Social Analysis
Programme Structure
Courses include:
- Spectral graph theory and random walks: connections and applications
- AI in the Wild & Knowledge Intensive NLP
- Incentive in blockchain technology
- High Performance Deep Learning with GPUs
- Machine Learning and Statistical methods for disease progression and clinical trials
- Machine Learning for Scientific Discovery
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
- additional admission round: October 13
Language
Delivered
Disciplines
Data Science & Big Data View 12 other PhDs in Data Science & Big Data in ItalyAcademic 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.
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
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Other requirements
General requirements
- To be admitted to a PhD programme, students must hold a Master's degree programme or a recognised foreign qualification.
Admission procedure:
- Qualifications assessment
- Oral interview
Required documentation:
- research project
- letters of introduction (by a teacher)
- Curriculum Vitae
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.
- students enrolling in PhD programmes are only required to pay the annual regional fee of €140 and a stamp duty of €16
Living costs for Roma
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.
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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