Data Science and Computation

logo ateneo
Academic year 2023/2024
Department of Computer Science and Engineering
Alma Mater Studiorum - Università di Bologna
EQF level: 8
39° cicle
Field of study: natural sciences, mathematics, physics and statistics engineering and engineering trades
Place of teaching
bologna (BO), italy
Attendance methods
Full time
Teaching
Classroom-based
Languages in which the course is held
Italian, English
Cost
157,04
Duration of the course
Nov 2023 - Oct 2026
Scholarships
19 

Course contents

Research topics
- Quantitative Finance and Economics
- Materials and Industry 4.0
- Genomics and bioinformatics
- Personalised medicine
- Hardware and Infrastructure
- Machine learning and deep learning
- Computational physics
- Computational chemistry
- Big Data, Smart Cities & Society
Page of the course on the University's website

Teaching

Place of teaching
bologna (BO), italy
Duration of the course
Nov 2023 - Oct 2026
Attendance methods
Full time
Compulsory attendance
Teaching
Classroom-based
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, health and pharmacy, politics, social sciences and communications, natural sciences, mathematics, physics and statistics

Admission

Available places
20
Admission
Admission selection
Qualifications and research project evaluation; Oral Examination
Cost
157,04 €
Scholarships
19
1 positions with research grant and 5 scholarships funded by the EU - NextGenerationEU – NRRP
1 position funded in the framework of the research training projects “Territorio: Transizione tecnologica, culturale, economica e sociale verso la sostenibilità” (PR. FSE + 2021/2027 – DGR n. 509 del 03/04/2023) - CUP J33C23000610006

Employment opportunities

The course aims at creating professionals with expertise in data science and/or computation. The major job opportunities and potential areas of employment are: academic and industrial research; application scientists in economy, financing, and medicine; industry 4.0 and health 4.0 where the digital revolution is currently taking place. The PhD candidates will also acquire expertise in programming, code parallelisation and modernisation, opening up job opportunities also in the field of high-performance computing and parallel calculations.

AlmaLaurea surveys

*Verifica se sono disponibili dati puntuali su questo percorso di studio.
Potrai comunque consultare dati relativi a percorsi di studio affini o all'ambito disciplinare cui il corso afferisce.

*Dati sul corso di studi
Other editions of the same course
Academic year edition 2025/2026Academic year edition 2024/2025Academic year edition 2022/2023
Chiudi