NOVA Information Management School

Master degree program in Advanced Analytics


Segundo ciclo



ECTS Coordinator

Leonardo Vanneschi

Education objectives

Several companies, institutions, and magazines have recently published articles about the role of new frontiers of data analysis, specifically on how the huge amount of data available today could be used to generate wealth. That is why NOVA IMS has created the Master degree Program in Data Science and Advanced Analytics: to train talents in advanced analytics, enabling them to develop business analytics in any kind of Portuguese or international organization, or to build a research career in any of the most prestigious Portuguese or international Universities.

This Master degree program is aimed at analytical oriented people who wish to meet the challenges of modern technology by solving new and challenging problems, who like to turn data into knowledge and aspire to develop a career in an area with huge potential for growth and with great demand worldwide. This Master degree program does not impose rules to the provenance of the applicants. However, having knowledge of mathematics, statistics and information technologies is animportant selection factor. The proficiency in English is a requirement.

The Master Degree Program in Data Science and Advanced Analytics will provide a set of interdisciplinary skills and tools including:

- Understanding of the main paradigms associated with large databases and building data warehouses;

- Understanding the processes of decision making;

- Mastering data mining tools and computational intelligence, in particular for "Big Data" related problems;

- Mastering the processes of creation and maintenance of descriptive and predictive models;

- Mastering communication, both written and orally, to audiences with different technical levels.

The best students of the 1st year of this Master program will be invited for a 6 month paid internship, to be held during the 2nd year, in one of the program's partner institutions (Accenture, Ocidental Grupo, Rebis Consulting, SAS, Tranquilidade and NOVA IMS).

Applications - academic year 2018-2019
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 3rd to May 10th, 2018. The selection process is based on the analysis of the applicant's academic and professional curriculum.

Access conditions

The requirements for the applications are: a degree in a compatible field (complete until September 2018); analysis of the applicants' academic and professional curriculum.

Degree pre-requisites

Access to other courses

Evaluation rules


1º year - Autumn semester
Code Name ECTS
200027 Data Mining I 7.5
200031 Data Warehousing 7.5
200142 Computational Intelligence for Optimization 7.5
200144 Big Data 7.5
1º year - Spring semester
Code Name ECTS
200011 Business Intelligence 6.0
200029 Data Mining II 7.5
200035 Descriptive Analytics/Estatística I: Inferência e Métodos Descritivos 7.5
200047 Inferential Analytics 7.5
2º year - Spring semester
Code Name ECTS
200042 Dissertion 60.0
200045 Internship 35.0