DATA SCIENCE

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Academic year 2022/2023
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
Sapienza Università di Roma
EQF level: 8
38° cicle
Field of study: engineering and engineering trades information and communication technologies (icts)
Place of teaching
roma (RM), italy
Duration of the course
Nov 2022 - Oct 2025
Attendance methods
Full time
Languages in which the course is held
Italian, English
Deadline (Expired)
25 August 2022
Cost
Free course
Scholarships
14 

Course contents

Data Science is an interdisciplinary field of study established in recent years in order to offer the methodological tools and technologies useful for the management and analysis of big data and their exploitation in industry, services, and research. The phenomenon of big data has revolutionized countless sectors of economic and social activity and has profoundly changed research methodologies and technologies in numerous scientific disciplines and applications of great economic and social value. The main objective of the PhD in Data Science is therefore the development of research projects on the fundamental methodological aspects of Data Science (machine learning, statistical and computational analysis of data, management of big data) and on the use of big data in following fields of application: i) Advanced digital platforms, ii) Management of urban spaces and environmental resources iii) Medicine and Health iv) Economic and Social Analysis. Data Science receives the decisive contribution of computer science, statistics, engineering, applied mathematics, and academic disciplines that help understand the impact of big data on applications. The Scientific Disciplinary Sectors of the core disciplines of Data Science and of the disciplines related to the fields of application are extensively represented in the Board of Faculties of the Doctoral Program in Data.
Page of the course on the University's website

Teaching

Place of teaching
roma (RM), italy
Duration of the course
Nov 2022 - Oct 2025
Attendance methods
Full time
Compulsory attendance
Full Time
Languages in which the course is held
Italian, English

Admission requirements

Type of degree required
2nd Level Degree
Field of study
information and communication technologies (icts), engineering and engineering trades
Foreign language skills
English
The candidate must know the following languages ENGLISH

Admission

Deadline
25 August 2022
Available places
17
Admission
Admission selection
Qualifications assessment The Admission Committee assigns to each candidate a maximum score of 60 points. Scores are assigned according to the evaluation criteria defined by the Board of Faculty of the Ph.D. Program, and reported below: - up to 30 points for the evaluation of the curriculum (including the academic career and any other qualifications), the letters of recommendations supporting the candidate and the publications presented by the candidate; - up to 30 points for the research proposal submitted by the candidate. In particular, the commission evaluates the description of the state of the art, the originality and the innovative nature of the proposal, the clarity and completeness of the objectives, the methodologies and the potential results, the relevance of the proposal with respect to the themes and the objectives of the Ph.D. program. Candidates obtaining a minimum score of 36/60 in the evaluation of qualifications and of the research proposal are invited for an interview. Oral interview The Admission Committee assigns a maximum of 60 points to each candidate admitted to the interview. A score of at least 36 is required for the admission.The interview is in English, and is aimed to assessing the candidates' knowledge, skills, and aptitude to carry out research in the scientific areas of Data Science. The interview also includes a discussion of the research proposal prepared by the candidate and of personal motivations for applying for a Ph. D. position. The duration of the interview is at most 45 minutes (the presentation of the research proposal by the candidate must be no longer than 15 minutes). The minimum overall score for admission to the Ph.D. in Data Science is 72/120. language ITALIAN
Cost
Free course
Scholarships
14

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Other editions of the same course
Academic year edition 2023/2024Academic year edition 2021/2022Academic year edition 2020/2021
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