Data Science - a.y. 2018/19

Mathematics, Statistics, Computer Science and Engineering cooperate in this program, whose aim is to provide tools for extracting knowledge from data coming from several application domains.

  Overview

Level: Second-cycle degree

Field of study: LM-91 - Techniques and methods for the information society

Degree awarded: Master of Science in Data Science

Start date: October 2018

Location: Padova

Available places: European candidates: 40; Non-European candidates residing outside Italy: 10 (2 for candidates joining the Marco Polo Project)

  Course description

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.

  Entry requirements

To be admitted to the course, basic knowledge of the following disciplines is required: Mathematics, Differential and integral calculus for functions of one or more real variables. Numerical sequences and infinite sums. Basic notions of linear Algebra. Basic notions of Probability, including random variables, expectation, Central Limit Theorem. Computer Science. Programming in high level language (e.g. Java, C, C++, Python). Computer architecture: CPU, memory, peripherals, networks, operating system. Algorithms and data structures.

This knowledge is verified by the achievement of:

  1. 30 ECTS in the following areas: MAT/01-09; SECS-S/01; SECS-P/06; INF/01; ING-INF/05 of which at least 12 in MAT/01-09; SECS-S/01; SECS-P/06; INF/01; and at least 8 in  INF/01; ING-INF/05.
  2. Degree classification equivalent to at least 85/110.

  Language requirements

B2 level of ENGLISH (reading and listening); no formal certificate is needed.

  Application

The link to the online application platform as well as step by step guidelines on the online application procedure are included in the Call for Application below (page 2). Please follow the instructions carefully when applying online since links and procedures differ depending on the degree course.

The payment of the application fee (euro 30) is a compulsory step to complete your application. The application fee is non-refundable. For detailed payment instructions please read our guide. If you wish to apply for more than one programme, you need to pay the application fee for each course you are applying for. 

For general information on application procedures, please check How to apply.

  Application timeline

Non-European citizens residing outside Italy: from 11 January to 28 February, 13:00 local time (GMT +1). The list of selected students is available on page http://www.unipd.it/en/admission-results

Other applicants: late Spring 2018.

  Tuition fees

Information on 2018/19 fees will be available in 2018: amounts will largely stay the same as for A.Y. 2017/18.

For academic year 2017/18: euro 2.597,00.

The above amounts can be significantly waived (minimum fee: 561,00 euro/A.Y.) based on your “Equivalent Economic Status Index – ISEE”. For further information on how to obtain your ISEE and other income-based reductions, see Funding and fees - Key Documents.

Applicants receiving an offer of admission, either unconditional or conditional, will be asked to pay a tuition fee deposit of euro 185,00 within 30 days to secure their place on the programme.

  Scholarships and fee-waivers

The University of Padova offers different types of scholarships and fee-waivers to international students.

For detailed information:

  Contacts

Programme Coordinators: Prof. Paolo Dai Pra (paolo.daipra@unipd.it) - Dr. Angela Puca (angela@math.unipd.it)

Info: scienze@unipd.it

Website: https://datascience.math.unipd.it/