DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
E SCIENZE MATEMATICHE
UNIVERSITA' DEGLI STUDI DI SIENA
Master Degree in
APPLIED MATHEMATICS
"There are 10 types of people in this world:
those who understand binary and those who don't."
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
E SCIENZE MATEMATICHE
UNIVERSITA' DEGLI STUDI DI SIENA
Master Degree in
APPLIED MATHEMATICS
DATA SCIENCE
COMPLEX SYSTEMS
Data and decisions:
a challange for the modern society
• “Big data, the next frontier for innovation, competition, and productivity.”
McKinsey, 2011
• “Data Scientist: the sexiest job of the 21st century”
Harvard Business Review, 2012
• Data Scientist rated no. 1 job in 2016 Glassdoor
(LinkedIn and CareerCast among best jobs in previous years)
• “Data Scientist nei prossimi anni tra le figure più ricercate”
Il Sole 24 Ore, 2014
• “A research center for Genomics and Big Data” (M. Renzi)
Corriere della Sera, 2015
Complex system:
building rationality from chaos
• “Future Internet and Society: A Complex Systems Perspective.”
European Science Foundation, 2010
• “McAfee, Inc. Positioned as a Leader for Data Loss Prevention in Analyst Firm’s
Magic Quadrant ”
www.mcafee.com /it/about/news/2011/q3/20110812-02.aspx, 2011
• “E’ un mondo difficile, la soluzione è nella complessità”
Repubblica, 2014
• “Complexity analyst Job opportunities in USA”
www.ajob.link
Master Degree in
APPLIED MATHEMATICS
8 fixed courses
(48 credits)
Structure
completing
mathematical
competences
Mathematical Logic Advanced Algebra
Advanced Geometry
Foundations of Mathematics
Advanced Mathematical Analysis
Mathematical Modeling
Numerical Analysis Optimization
3 courses + 18 credits
in one of the
two curricula
English B2 level
Thesis
DATA SCIENCE
Data Analysis
Machine Learning and AI
Advanced Database Systems
Information Theory
Discrete Mathematics
Graph Theory
Formal Models
Mathematical Education
COMPLEX SYSTEMS
Complex System Dynamics
BioInformatics
Evolutionary Game Theory
Fuzzy and RealTime Modeling
Discrete Mathematics
Graph Theory
Formal Models
Mathematical Education
Preparing people for:
• Companies working in advanced
techonologies: telecomunications, energy
markets, GDO and e-commerce, image
analysis, social Media, bio-sciences
(genomics, bio-informatics, neurosciences)
• Insurance and financial companies
• Public and private research institutions
• International organizations: ONU, BCE, EUROSTAT, ...
• Third level studies (PhD) in mathematics,
statistics, optimization, quantitave finance,
economics, network analysis, computational
biology, ...
• Teaching
Horizon 2020
The EU Framework Programme for Research and Innovation
https://ec.europa.eu/futurium/en/content/online-consultationmathematics-excellence-science-horizon2020
Mathematics for Horizon 2020 Work Programme
Mathematics is recognized today as essential and indispensable for
addressing the major challenges in science, technology and society.
Faced with the abundance of data on social, technical, economic,
ecological, and technological systems new and sophisticated
mathematical tools are required for these data to help us tackle
pressing societal challenges and provide us with the necessary
technological advantages.
The “knowledge society” is “ignorant” without Mathematics!
