PostGraduate in Enterprise Data Science & Analytics
The Postgraduate Program in Enterprise Data Science & Analytics is aimed at professionals interested in deepening their knowledge in data science, particularly in enterprise environments.
This program will present the methodologies and tools that will transform data into information, on which enterprises can base strategic information on entering new markets, launching new product or service lines, optimizing processes, transforming business models and, generally, competing in a market increasingly driven by data-driven decisions.
It is aimed at professionals interested in deepening their knowledge in data science and advanced analytics, as well as in the creation of predictive models and their practical application in enterprise environments.
It tackles the shortage of highly qualified professionals in this field, with one of the highest growth in the current market of information systems.
Applications - academic year 2019/2020
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, until May 9th. The selection process is based on the analysis of the applicant's academic and professional curriculum.
Access to other programs
Henrique José de Jesus Carreiro, Roberto Henriques
To earn the postgraduate program diploma in Enterprise Data Science & Analytics, students complete 8 course units (a total of 60 ECTS).
Conditions of admittance
The requirements for the applications are: a degree in a compatible field (complete until February 2020); analysis of the applicants' academic and professional curriculum.
|1º year - Autumn semester|
|400087||Analyzing and Visualizing Data||3.5|
|400083||Analyzing Big Data||7.5|
|200209||Big Data Foundations||7.5|
|400086||Enterprise Data Science Bootcamp||7.5|
|1º year - Spring semester|
|400088||Data Science and Machine Learning||7.5|
|200206||Programming for Data Science||4.0|
|400084||Managing Relational and Nom-Relational Data||7.5|
|400090||Programming for Data Science||3.5|
|400089||Statistics for Enterprise Data Analysis||7.5|