Specialization in Data Science

Education objectives

The Master Degree Program in Data Science and Advanced Analytics, with a specialization in Data Science, is aimed at technically oriented people with solid scientific background, who want to strengthen and deepen their skills on the most used paradigms and environments for software development, and apply them to solve complex real-world problems involving vast amounts of data.

The best students of the 1st year of the Master in Data Science and Advanced Analytics will be invited for a 6 month paid internship, to be held during the 2nd year, in one of the following institutions: Accenture, BI4ALL, Feedzai, Future Healthcare, Grupo Ageas Portugal, iFood, Izertis, Millennium BCP, NOVA IMS, SAS and Tranquilidade.

This Program will provide a set of interdisciplinary skills and tools such as:

  • Understanding of the main paradigms associated with large databases and data warehouses;
  • Understanding the processes of decision making;
  • Mastering data mining tools, in particular for "Big Data" related problems;
  • Mastering the processes of creation and maintenance of descriptive and predictive models;
  • Recognizing and applying the most effective analytical models to different business cases;
  • Interpreting models and their implications to the business.

To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end from April 20th until May 26th, 2022. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code



Specialization Area



Access to other programs


Roberto Henriques

Opening date

September 2022





Working Hours

Teaching language


Degree pre-requisites

This path is an option of

Master in Data Science and Advanced Analytics

Conditions of admittance

The requirements for the applications are: a degree in a compatible field (complete until September); analysis of the applicants' academic and professional curriculum.

Evaluation rules