Data Science

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

Admission requirements

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

• TOEFL iBT: 80
• PTE Academic: 42
• IELTS: 5.5

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 Fees

• International (Non-residents): Free
• EU/EEA (EU/EEA Nationals): Free

Additional Details

Students enrolling in PhD programmes are only required to pay the annual regional fee of €140 and a stamp duty of €16

Living costs

Roma, Italy: 1,375-2,346 AUD / month. The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Scholarships

PhD's scholarship opportunities for Data Science.