From data to decision: a non-techincal course on data-driven decision making

Deadline 30/09/2024.

Lifelong Learning Certificate

A learning path leading to extracting meaning from data: everything you need to achieve your ambitions and obtain the skills required to enjoy a competitive advantage in the market.

Enrolment is open!

 

The programme, which will last for five months, will be taught in English. It awards 9 ECTS University educational credits (CFU) and aims to provide participants with a basic understanding of data science projects. Specifically, participants will:

  • Develop the ability to cooperate in groups for the production of simple analyses.
  • Understand the outcomes of more complicated analyses.
  • Focus on the path from problems to data analytic solutions.
  • Communicate the results of data analysis.

The LLC will introduce professionals to the fundamentals of data science in a non-technical way, equipping them with the skills to appreciate the importance of data-driven decision making and effectively interact with technical data science teams within their organizations.

Programme Structure

The programme is composed of three modules:

Module 1 and Module 2 (Online)

  • Delivered through the University of Bologna Moodle platform.
  • Each module awards 2 CFU for a total of 4 CFU.
  • Includes 20 hours of asynchronous videolessons, and additional activities (online tutoring, further reading/individual study, active/interactive online activities, assessment), requiring a total commitment of 100 hours.

Module 3 (In Presence)

  • Consists of 35 hours of frontal classroom lessons (21 hours of frontal teaching and 14 hours of other activities).
  • Takes place over a full-time week (7 hours a day for 5 days).
  • Followed by individual and/or group project work during the subsequent two weeks.

Admission Requirements

  • Any first cycle degree or second cycle degree awarded pursuant to Ministerial Decree 270/04 (or single cycle degrees awarded under the degree programme systems in force prior to Ministerial Decree DM 509/99).
  • Any first cycle degree or second cycle degree awarded abroad and valid for admission to the programme.
  • High school diploma with work experience of at least 3 years.
  • Self-certification of B2 level of English language.

For more information see the annex or visit the website 

Contacts

Giada Trisolini

Dipartimento di Scienze statistiche "Paolo Fortunati" - STAT

Write an e-mail