Data Science and Engineering 

Overview

The Data Science and Engineering programme from Instituto Superior Técnico is also intended to initiate students to research in this area, equipping them with the ability to grasp the latest advances and techniques, an aspect of extreme importance, since it is an area of enormous dynamism, with a high rate of innovation, requiring the high refreshability. 

This training will also prepare students to pursue a research career, both in academic and research and development groups in Engineering and Data Science, nowadays increasingly common in companies of various dimensions. 

Objectives

• To train specialists with solid competences in a subset of the disciplines that integrate Data Science and Engineering, qualified to address and solve a vast class of problems in data acquisition, management, and processing and in extraction, analysis, and visualization of information.

• To enable students to integrate work teams, which are typically large and with some heterogeneity and multidisciplinarity, including experts with different profiles of expertise.

• To engage students in research in Data Science and Engineering, giving them the ability to grasp the latest advances and techniques and to update their knowledge throughout their professional lives.

• To familiarize students with problems and practical applications, in which techniques and methods of Data Science and Engineering are employed, whether in a business environment, services and industry, or scientific applications. 

Employment

The interest of companies and organizations (private or public, whether or not for profit) in various topics of Data Science and Engineering has been growing exponentially. 

They are well aware of the enormous economic/commercial value of information and its use as a differentiating element among competitors often referred to as business intelligence. Also, the financial sector increasingly uses Data Science and Engineering, not only to support and assist strategic decisions but also in many other applications, from credit assessment to algorithmic trading. 

Data Science is also an essential area of modern computer and communications security, and it is clear that only techniques that can handle and analyze the enormous volumes of data flowing in modern communications networks will allow predicting and identifying intrusions and other security threats.