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A real bridge to work

We are in continuous connection with different companies, public bodies and research centers to allow us to offer our students unique opportunities that will help them build their future.

During the Master’s Degree in Data Science, students are encouraged to carry out an Internship at a company, industry or research center. The Internship allows the student to build up new skills, getting in touch with the daily working environment and attitude of a company, possibly developing awareness towards market and clients needs. These skills are highly appreciated by the job market and often strengthen the student’s curriculum, considerably enhancing his/her occupation opportunities.

Internship procedures are summarized in the following slides.

For additional inquiries, prospective students may contact our offices, through the following email: internships.datascience@math.unipd.it

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The Internship is often carried out during the second semester of the second year of the Master’s Degree, and has a typical duration ranging from six to eight months. We are connected with a number of industry and research partners, which collaborate closely with our Professors. Students are free to select their internship activity at any of these partners, or to pick a partner of their choice within the large catalog of business/industry partners of the University of Padova (UNIPD), as long as the partner is included the UNIPD database. In the event that the partner is not yet associated with UNIPD, prospective students are encouraged to contact the Stage and Career Office (https://www.unipd.it/stage) of UNIPD to carry out the needed procedures, which are fast an lightweight.

The activity to be performed during the Internship should be aligned with those covered within the Data Science courses, e.g., dealing with statistical data analysis, machine learning, big data processing, etc. For each Internship, two responsible persons must be identified: 1) the first employed by the business/industry/research partner hosting the Internship, 2) the second is a UNIPD Professor, who will follow the student’s activity by assessing the technical soundness of the Internship, as well as its connection and coherence with the topics studied in the Data Science Master’s Degree.

Often, although non mandatory, the technical activity that the student carries out during the Internship is often used, in full or in part, for their final MS thesis.

The main objectives of the Internship activity are

  • getting in touch with business/industry/research environments, becoming acquainted with their work habit and needs;
  • applying the theories and the algorithms that are studied within the Data Science courses to practical problems, possibly leading to the development of new products;
  • working on a Master Thesis oriented towards the development of practical tools, towards solving concrete data science problems;
  • creating synergies and connections which will be key to the student’s career and successful employment.

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Video presentation

The Career Service at the University of Padua presents the infoday “students meet companies”. This is an event organized yearly, offering a great opportunity for students to look ahead, getting ready to their final year’s Internship, and getting acquainted with real world projects and companies’ needs.

11 companies, motivated by the extraordinary variety of contexts in which Data Science is required, took turn in sharing their Internship projects, stressing the need for professional data scientists. Data-driven inference and decision-making tools are becoming a strategic asset for industries and businesses across a range of domains including but not limited to: healthcare, finance, digital industry/ICT, smart cities, Internet of Things (IoT), Web marketing, national security, etc.

Career Service University of Padua – Gilda Rota
Data Science students meet companies

Global map

Accenture
ACTOR
AzzurroDigitale
Engineering
EnginSoft
Fondazione Bruno Kessler
GMT
GSSI
IRCCS “Lazzaro Spallanzani”
Moxoff
Phinergy
pwc
ReplyTechnology
SCAI ITEC

Companies presentation

AzzurroDigitale - Anna Da Rin and Giovanni Prior

Data Science students meet companies

Engineering, Michele Gabusi and Monica Franceschini

Data Science students meet companies

EnginSoft, Manolo Venturin

Data Science students meet companies

Fondazione Bruno Kessler, Luciano Serafini

Data Science students meet companies

G.M.T., Emanuele Giglio

Data Science students meet companies

Lazzaro Spallanzani IRCCS, Tommaso Ascoli Bortoli

Data Science students meet companies

Phinergy, Enrico Edoli

Data Science students meet companies

pwc

Data Science students meet companies

Technology Reply, Davide Lappon and Riccardo Sella

Data Science students meet companies

Gruppo SCAI, Lisa Del Campio and Francesco Pizzi

Data Science students meet companies