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NOVA Information Management School

Master degree program in Advanced Analytics

Ciclo

Segundo ciclo

Grau

Mestre

Coordenador ECTS

Leonardo Vanneschi

Objectivos educativos

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 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 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.

Internships
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 and NOVA IMS).

Applications - academic year 2017/2018
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae and submit the application in the end, until July 6th. The selection process is based on the analysis of the applicant's academic and professional curriculum, and an interview.

Condições de acesso

The requirements for the applications are: a degree in a compatible field; analysis of the applicants' academic and professional curriculum; and an interview conducted by the Admissions' Jury Panel.

Requisitos para obtenção do grau ou diploma

Acesso a outros cursos

Regras de avaliação

Estrutura

1º ano - semestre Outono
Código Nome Créditos
200027 Data Mining I (Modelos Descritivos)/ Data Mining 7.5
200031 Data Warehousing 7.5
200142 Computational Intelligence for Optimization 7.5
200144 Big Data 7.5
1º ano - semestre Primavera
Código Nome Créditos
200011 Business Intelligence 6.0
200029 Data Mining II (Modelos Preditivos)/ Predictive Models 7.5
200035 Estatística I: Inferência e Métodos Descritivos/ Descriptive Analytics 7.5
200047 Estatística II: Métodos Explicativos/Inferential Analytics 7.5
2º ano - semestre Primavera
Código Nome Créditos
200042 Dissertação 60.0
200045 Estágio Profissional 60.0