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Masters Degrees in Statistics, Italy

We have 2 Masters Degrees in Statistics, Italy

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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. Read more

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. Graduates 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 information.

Course structure

First year

I semester

  • Fundamentals of Information Systems (12CFU)
  • Stochastic Methods (6 CFU).
  • Statistical Learning (part I) (6 CFU).
  • Cognitive, Behavioral and Social Data (6 CFU).

II semester

  • Algorithmic Methods and Machine Learning (12CFU)
  • Optimization for Data Science (6 CFU)
  • Statistical Learning (part II) (6 CFU)
  • Elective course (6 CFU)

Second year

I semester

  • Business Economic and Financial Data (6 CFU)
  • Biological data (6 CFU)
  • Elective course (6 CFU)
  • Elective course (6 CFU)
  • Elective course (6 CFU)

II semester

  • Stage and final exam (30 CFU)

List of elective courses

All courses are credited with 6 CFU

  • Game Theory. I semester
  • Introduction to Omic Disciplines. I semester
  • Mathematical models and numerical methods for big data, I semester
  • Computational Marketing. I semester
  • Law and Data. I semester
  • Computer and Network Security, I semester
  • Process Mining. I semester
  • Bioinformatics, I semester
  • Methods and Models for Combinatorial Optimization, I semester
  • Biology and Physiology, I semester
  • Human Computer Interaction, I semester
  • Network Science, I semester
  • Knowledge and Data Mining. II semester
  • Human Data Analytics. II semester
  • Big Data Computing, II semester
  • Structural Bioinformatics, II semester
  • Cognitive services, II semester
  • Bioinformatics & Computational Biology, II semester

Career opportunities

Graduates will have job opportunities in Italy and abroad in

  • internet companies, consulting companies
  • startups and high tech industries
  • public administrations
  • research centers.

Scholarships and Fee Waivers

The University of Padova, the Veneto Region and other organisations offer various scholarship schemes to support students. Below is a list of the funding opportunities that are most often used by international students in Padova.

You can find more information below and on our website here: http://www.unipd.it/en/studying-padova/funding-and-fees/scholarships

You can find more information on fee waivers here: http://www.unipd.it/en/fee-waivers



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Why study Data Science?. Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. Read more

Why study Data Science?

Data abounds. Social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us.

What are the career opportunities?

Data science is a highly innovative area. The profession was described as "Sexiest Job of the 21st Century," by Harvard Business Review in October 2012. The data scientist simultaneously masters scalable data management, data analysis and domain area expertise to extract key knowledge and solve real-world problems. Data scientists’ skills are highly valued across all fields within the private sector, government and non-profit organisations. This is an opportune time to pursue training in both a challenging and rewarding area of expertise. So join us and embark on a journey of a lifetime!

Why choose Data Science at EIT Digital?

The Data Science Masters offers a unique two-year academic programme, whereby students study data science, innovation and entrepreneurship at two different leading European universities.

Students acquire in-depth technical skills in scalable data collection techniques and data analysis methods. They learn how to use and develop a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, visualisation, and related concepts (e.g., data access, data pricing, and data privacy).

At the same time, they also acquire extensive business skills by learning how to bring an innovation to the market and developing a successful business model. These additional entrepreneurial skills will give students their ticket to a successful career.

How is the programme structured?

All EIT Digital Master School programmes follow the same scheme:

  • Students study one year at an ‘entry’ university and one year at an ‘exit’ university in two of EIT Digital’s hot spots around Europe.
  • Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology.
  • The first year is similar at all entry points with basic courses to lay the foundation for the chosen technical programme focus. Some elective courses may also be chosen. At the same time, students are introduced to business and management. During the second semester, a design project is combined with business development exercises. These teach how to turn technology into business and how to present a convincing business plan.
  • In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme.
  • The second year offers a specialisation and a graduation project. The gradation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension.

To learn more about the structure of the programme, please click here.

To learn more about the Innovation & Entrepreneurship minor, please click here.

Where can I study Data Science?

Entry - 1st year, common courses

  • Eindhoven University of Technology (TU/e), The Netherlands
  • Royal Institute of Technology (KTH)
  • Universidad Politecnica de Madrid (UPM), Spain
  • Universite Nice Sophia Antipolis (UNS), France
  • Politecnico di Milano (POLIMI), Italy

Exit - 2nd year, specialisation

  • Infrastructures for Large Scale Data Management and Analysis at Universidad Politecnica de Madrid (UMP), Spain
  • Multimedia and Web Science for Big Data at Université de Nice Sophia Antipolis (UNS), France
  • Business Process Intelligence at Eindhoven University of Technology (TU/e), The Netherlands
  • Distributed Systems and Data Mining for Big Data at The Royal Institute of Technology (KTH), Sweden
  • Design, Implementation, and Usage of Data Science Instruments at Technische Universität Berlin (TUB), Germany
  • Machine Learning, Big Data Management, and Business Analytics at Aalto University, Finland
  • Real-time Data Analytics at Eötvös Lorand University (ELTE), Hungary

About EIT Digital Master School

EIT Digital Master School offers two-year, European Masters in computer science and information technology, with a focus on innovation and entrepreneurship. Students study two years in two leading European universities. They earn two Masters degrees from those universities together with a certificate awarded by the European Institute of Innovation and Technology (EIT). Students enjoy an array of benefits which includes European mobility, a three-day business challenge, a two-week Summer School, an internship and access to the EIT Digital community. Upon graduation, students are equipped with the tools to become digital innovators.

Scholarship:

·        European citizen: No tuition fees. Up to 750 Euros monthly allowance

·        Non-European citizen: tuition fee waiver of up to 50% and 750 Euros monthly allowance

Application deadline to begin studying in September 2018:

·        15 April 2018 (Open to EU/EEA/CH citizens/ Non-EU citizens*.)

*Please note that this application period is not recommended for applicants who require a visa due to time constraints. If you require a visa to study in an EU country, we recommend you delay your application to November 2018 when the application portal opens again, to start in Autumn 2019.

How should you apply?

To apply, you need to register and submit your application on the EIT Digital Application Portal. You don’t need to do your application all at once. You can access the list of required documents for your application here.

Need more information?

Master School Office: , we will be happy to help.



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