Overview
Immerse yourself in the dynamic field of Modeling and Data Science with the University of Turin's esteemed Doctoral Program. Crafted for aspiring scholars, our program combines theoretical rigor with practical application, providing a comprehensive understanding of data modeling, analysis, and interpretation. Engage in advanced research, collaborate with leading experts, and contribute to the forefront of data-driven knowledge. Join a vibrant community dedicated to shaping the future of modeling and data science through innovative research and scholarly endeavors.
Key Features
- Interdisciplinary Curriculum: Explore diverse facets of modeling and data science, integrating mathematical modeling with advanced data analytics.
- Research Excellence: Contribute to cutting-edge research projects at the forefront of data science advancements.
- Expert Faculty: Learn from accomplished professors and industry leaders with extensive experience in modeling and data science.
- Advanced Computational Resources: Access state-of-the-art facilities, enhancing the research and learning experience.
- Collaborative Environment: Join a dynamic community of scholars, fostering collaboration and networking in the data science domain.
Programme Structure
Research areas include:
- Mathematical Modeling
- Machine Learning and Predictive Analytics
- Big Data Analytics
- Statistical Methods in Data Science
- Computational Modeling and Simulation
Key information
Duration
- Full-time
- 36 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Campus Location
- Turin, Italy
Disciplines
Data Science & Big Data View 12 other PhDs in Data Science & Big Data 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
- Second cycle degree diploma or certificate (Master’s Degree) from a recognized academic institution.
- Transcripts of records from the second cycle degree with complete grading.
- Documentation for eligibility recognition (Diploma Supplement, Dichiarazione di valore in loco, or certification of eligibility from ENIC NARIC Centres).
- Any other documents deemed useful for evaluating eligibility.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals 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 University of Turin and/or in Italy, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Living costs
Torino
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Modeling and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility