Course details

Course objectives

The aim of this Master's Degree is to train and provide students with knowledge and skills in the field of data science, which will allow them to extract value from business data and support companies' decisions based on the analysis and application of predictive and prescriptive models on these same data. Students should be able to obtain information that enhances a better knowledge of the state of the Organization and that supports the decision-making process in the various business areas, as well as simulate and optimize the potential return of different alternative decisions on the Company's results. This cycle of studies seeks to enable students to identify, formulate and solve problems, in the context of business sciences, in an autonomous, creative and reasoned way, using the knowledge, skills and competences acquired.

School

ESCE - Escola Superior de Ciências Empresariais

Study mode

presencial - Evening course

Learning objectives and skills to be developed

The Master's Degree in Data Science for Companies aims to train professionals in the field of Data Science, providing them with skills that allow them to enrich the decision-making process in the various business areas, with the consequent return of benefits for it. On the other hand, this Master's Degree is strongly oriented to allow lifelong learning, so the competence profile is focused on the performance of the profession, which is a distinctive feature of Polytechnic Education and the Polytechnic Institute of Setúbal (IPS). As part of the strategy of affirming a differentiating training offer, intended by the School of Business Sciences (ESCE) and by the IPS itself, this is a current and relevant course that is aligned with the curriculum of the European Data Science Academy, as well as with the needs of the business community.
The aim of this Master's Degree is to train and provide students with knowledge and skills in the field of data science, which will allow them to extract value from business data and support companies' decisions based on the analysis and application of predictive and prescriptive models on these same data. Students should be able to obtain information that enhances a better knowledge of the state of the Organization and that supports the decision-making process in the various business areas, as well as simulate and optimize the potential return of different alternative decisions on the Company's results. This cycle of studies seeks to enable students to identify, formulate and solve problems, in the context of business sciences, in an autonomous, creative and reasoned way, using the knowledge, skills and competences acquired.
Masters in Data Science for Companies must demonstrate theoretical, methodological and practical knowledge in the fundamental areas of the study cycle, as well as express the following skills and competences: Develop the capacity for abstraction in the identification and analysis of problems; Select and adapt the various types of models to solve concrete problems in the area of business sciences; Identify the relevant data and its origin within the organizations, according to the problem in the business domain, and prepare them according to the models adopted; Implement and evaluate the models (descriptive, predictive and prescriptive) used in the resolution of problems;
Understand the ethical and privacy implications in the collection and management of data and results achieved by forecasting/prescribing models; Be able to summarize and communicate analytical results relevant to decision-making and management support; Be able to disseminate and present the conclusions of the work (applied or research); Be proficient in researching and selecting literature to support scientific work.

Career opportunities

Masters in Data Science for Business will be able to work in various industry or service sectors. In this area of ​​training, graduates will be able to perform functions in any activity in which are required skills in obtaining information that provides a better knowledge of the real state of the organization, in order to support the decision-making process in the various business areas, as well as simulate and optimize the potential return of different alternative decisions on the company's results.

Course coordinator

Ana de Jesus Pereira Barreira Mendes

Recognition of prior learning

Recognition of prior learning is carried out in accordance with the Academic Regulations of the Polytechnic Institute of Setúbal.

Admission and entry requirements

Holders of a Bachelor's degree (Bologna or pre-Bologna) or other higher education conferring a degree in the areas of information systems, business sciences, information technologies, mathematics and statistics, as well as other graduates in related areas; Holders of a foreign higher academic degree that is recognized as meeting the objectives of the bachelor's degree by the Technical-Scientific Council of ESCE/IPS in the areas of information systems, business sciences, information technologies, mathematics and statistics or related areas; Non-graduates who hold an academic, scientific or professional curriculum recognized by the Technical-Scientific Council of ESCE/IPS, as attesting to the ability to carry out this cycle of studies, under paragraph d) of point 1 of Article 17.

The information provided does not replace consultation of the Directorate-General for Higher Education (DGES) website and/or the application page.

Qualification requirements

13 course units successfully completed

Legal framework and accreditation

Despacho nº 10301/2022 de 23 de agosto