Data science

Second cycle degree in

Data science

Class: LM-91 - Methods and techniques for the information society

Class LM-91 - Methods and techniques for the information society

Duration 2 years

Branch Padova

Language English

Tuition fees and scholarships

Programme coordinator FRANCESCO RINALDI

Access Open access with admission requirements

Next Calls for applications (international students) - A.Y. 2023/24:

1st Call: 2 November 2022 - 2 February 2023 - APPLICATION PLATFORM
2nd Call: 2 March - 2 May 2023
3rd Call (ONLY EU and equated students): 2 June - 2 August 2023

The Data Science Master's programme is conceived as a multi-disciplinary platform that covers a broad range of theories and tools coming from different fields like, e.g., engineering, computer science, mathematics, statistics, machine learning, artificial intelligence. Through this programme, you will learn to handle and process big amounts of data, obtaining highly valuable information for the decisional processes. You may choose between four curricula with a specific focus on areas closely intertwined with big data analysis. You will be able to work in companies that provide IT services, startups and high-tech companies, public institutions and research centers. The course is entirely delivered in English. Curricula: - Biological Data Analytics - Cognitive, Social and Economic Data Analytics - Machine Learning for Intelligent Systems - Mathematics of Data Science Erasmus Mundus Joint Master Degree BDMA - Big Data Management and Analytics

Curricula
BDMA; Data Science

Find out more

Characteristics and objectives
The program intends to build Data Scientists whose solid technical background is complemented by a multidisciplinary preparation on various fields in which big data emerge. Highly required by Industries, Consulting Companies and Public Institutions, Data Scientists design and implement the analysis of big data, and provide managers and stakeholders with a clear account of their results. The Graduated in this degree will be able to master tools coming from Engineering, Computer Sciences, Statistics and Mathematics for collecting, managing and analyzing big data, and to translate their work into highly valuable informations.

Occupational opportunities
The Graduates will have jobs opportunity in Italy and abroad in
▪ internet companies, consulting companies;
▪ startups and high tech industries;
▪ public administrations;
▪ research centers.

Curricula
BDMA; Data Science

Teaching list

Training

I Year OPTIMIZATION FOR DATA SCIENCE [CFU 6] STATISTICAL LEARNING 1 (MOD. A) [CFU 6] STATISTICAL LEARNING 2 (MOD. B) [CFU 6] STATISTICAL LEARNING (C.I.) [CFU 0] OMICS IN HUMAN DISEASE [CFU 6] INTRODUCTION TO MOLECULAR BIOLOGY [CFU 6] SYSTEMS BIOLOGY [CFU 6] MATHEMATICAL CELL BIOLOGY [CFU 6] LAW AND DATA [CFU 6] FINANCIAL MATHEMATICS FOR DATA SCIENCE [CFU 6] HIGH DIMENSIONAL PROBABILITY FOR DATA SCIENCE [CFU 6] STOCHASTIC METHODS [CFU 6] MATHEMATICAL MODELS AND NUMERICAL METHODS FOR BIG DATA [CFU 6] HUMAN COMPUTER INTERACTION [CFU 6] MACHINE AND DEEP LEARNING (MOD. A) [CFU 6] STRUCTURAL BIOINFORMATICS [CFU 6] GAME THEORY [CFU 6] PROCESS MINING [CFU 6] COGNITION AND COMPUTATION [CFU 6] DEEP LEARNING [CFU 6] FUNDAMENTALS OF INFORMATION SYSTEMS [CFU 12] KNOWLEDGE AND DATA MINING [CFU 6] MACHINE AND DEEP LEARNING (MOD. B) [CFU 6] HUMAN DATA ANALYTICS [CFU 6] NETWORK SCIENCE [CFU 6] BIG DATA COMPUTING [CFU 6] INFORMATION RETRIEVAL [CFU 6] MACHINE AND DEEP LEARNING (C.I.) [CFU 0] II Year STAGE [CFU 15] COGNITIVE, BEHAVIORAL AND SOCIAL DATA [CFU 6] BIOLOGICAL DATA [CFU 6] BIOINFORMATICS [CFU 6] LAW AND DATA [CFU 6] STOCHASTIC METHODS [CFU 6] TIME-SERIES ANALYSIS FOR BUSINESS ECONOMIC AND FINANCIAL DATA [CFU 6] BUSINESS ECONOMIC AND FINANCIAL DATA [CFU 6] STATISTICAL METHODS FOR HIGH DIMENSIONAL DATA [CFU 6] STATISTICAL LEARNING [CFU 6] VISION AND COGNITIVE SYSTEMS [CFU 6] DEEP LEARNING AND HUMAN DATA ANALYTICS [CFU 6]

TrainingI Year OPTIMIZATION FOR DATA SCIENCE [CFU 6] STATISTICAL LEARNING 1 (MOD. A) [CFU 6] STATISTICAL LEARNING 2 (MOD. B) [CFU 6] STATISTICAL LEARNING (C.I.) [CFU 0] OMICS IN HUMAN DISEASE [CFU 6] INTRODUCTION TO MOLECULAR BIOLOGY [CFU 6] SYSTEMS BIOLOGY [CFU 6] MATHEMATICAL CELL BIOLOGY [CFU 6] LAW AND DATA [CFU 6] FINANCIAL MATHEMATICS FOR DATA SCIENCE [CFU 6] HIGH DIMENSIONAL PROBABILITY FOR DATA SCIENCE [CFU 6] STOCHASTIC METHODS [CFU 6] MATHEMATICAL MODELS AND NUMERICAL METHODS FOR BIG DATA [CFU 6] HUMAN COMPUTER INTERACTION [CFU 6] MACHINE AND DEEP LEARNING (MOD. A) [CFU 6] STRUCTURAL BIOINFORMATICS [CFU 6] GAME THEORY [CFU 6] PROCESS MINING [CFU 6] COGNITION AND COMPUTATION [CFU 6] DEEP LEARNING [CFU 6] FUNDAMENTALS OF INFORMATION SYSTEMS [CFU 12] KNOWLEDGE AND DATA MINING [CFU 6] MACHINE AND DEEP LEARNING (MOD. B) [CFU 6] HUMAN DATA ANALYTICS [CFU 6] NETWORK SCIENCE [CFU 6] BIG DATA COMPUTING [CFU 6] INFORMATION RETRIEVAL [CFU 6] MACHINE AND DEEP LEARNING (C.I.) [CFU 0] II Year STAGE [CFU 15] COGNITIVE, BEHAVIORAL AND SOCIAL DATA [CFU 6] BIOLOGICAL DATA [CFU 6] BIOINFORMATICS [CFU 6] LAW AND DATA [CFU 6] STOCHASTIC METHODS [CFU 6] TIME-SERIES ANALYSIS FOR BUSINESS ECONOMIC AND FINANCIAL DATA [CFU 6] BUSINESS ECONOMIC AND FINANCIAL DATA [CFU 6] STATISTICAL METHODS FOR HIGH DIMENSIONAL DATA [CFU 6] STATISTICAL LEARNING [CFU 6] VISION AND COGNITIVE SYSTEMS [CFU 6] DEEP LEARNING AND HUMAN DATA ANALYTICS [CFU 6]