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Direção
SILVIA MARIA DIAS PEDRO REBOUÇAS
Co-coordenador
Tiago Candeias
Telefone

  • R/A -Cr 214/2021, de 9 de julho de 2021
  • Horas de contacto: 1575.00
  • Créditos ECTS: 180
  • Requisitos de Graduação: 180
  • Área Científica: Information Systems and Computer Science
  • Modo: Presencial
  • Língua: EN
  • Nº de Semestres: 6
Grau: 
Bachelor (1º Ciclo)

CalendáriosCalendars

Propinas e Emolumentos Tuition and Fees (2024/2025)

Valores Candidatura

Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education
140
Access (for candidates with secondary education and national exams)
100
Change of Institution / Programme
100
Holders of BA/BSc, MA/MSc or PhD
100
Holders of secondary education dual certification courses and specialized artistic courses/professional courses
100
International student
350
International Student with ENEM
350
Over the age of 23 (enrolment for internal exame)
100
Over the age of 23 (having done external exam)
100
Applying for Readmission
100
External Students
600
External Students
400
CET Holders
100
CTeSP Holders
100

Valores Matrícula e Inscrição

Registration
275
School Insurance
47
330

Propinas

Average monthly value for 30 ECTS semestral curricular units
335.4
Per ECTS
11.18
Propinas e Emolumentos Tuition and Fees (2025/2026)

Valores Candidatura

Access - Holders of non-Portuguese courses legally equivalent to Portuguese secondary education
300
Access (for candidates with secondary education and national exams)
150
Change of Institution / Programme
110
Holders of BA/BSc, MA/MSc or PhD
150
Holders of secondary education dual certification courses and specialized artistic courses/professional courses
150
International student
425
International Student with ENEM
425
Over the age of 23 (enrolment for internal exame)
150
Over the age of 23 (having done external exam)
150
Applying for Readmission
110
External Students
640
External Students
450
CET Holders
150
CTeSP Holders
150

Valores Matrícula e Inscrição

Registration
285
School Insurance
50
285
  • ApresentaçãoPresentation

    The degree in Data Science aims to train professionals who, combining solid knowledge in the fields of Statistics and Computer Science, will work to promote and use data and modern Statistical and Artificial Intelligence algorithms to support decision making and solve problems in a variety of areas, from science to management and society. The digital transformation has highlighted the importance of Data Science in both the public and private sectors, with more and more data being generated, technological advances that make it possible and more intuitive and efficient to generate knowledge from it, and an increasingly data-driven organizational culture. Professionals graduating from this course will have fundamental analytical and technological skills so that they can be agents of change and digital transformation in companies through Data Science. They will also be prepared for the business environment through Curricular units in the area of Management, including Business Analytics and Tourism Analytics, which are considered to be of great relevance in the current context of economic recovery in Portugal and, in particular, in the Algarve, where tourism plays a prominent role. The course favors a multidisciplinary Challenge Based Learning (CBL) approach, aimed at solving real challenges using data.

Razões para Frequentar este Curso

Solid training in Data Science and Artificial Intelligence: Offers knowledge in Statistics, Big Data, Machine Learning and Artificial Intelligence, preparing students in the various areas of Data Science.
Practical Approach with Real Challenges: Active teaching methods (Challenge Based Learning) allow students to solve real problems with data, developing solutions to challenges in today's world.
Qualified Teaching Staff and Links to the Sector: Experienced teachers with strong links to the labour market, providing practical learning in line with the latest technological trends.
Development of Skills for Digital Transformation: Students learn to apply data for strategic decisions in areas such as Business Analytics and Tourism Analytics, essential for today's market.
High Employability and Professional Opportunities: The course prepares students for leading positions such as Data Scientist, Machine Learning Engineer and Data Analyst, which are in high demand in the public and private sectors.
  • ObjectivosObjectives

    The degree in Data Science aims to provide the theoretical, methodological and practical knowledge in the areas of Statistics, Mathematics and Computer Science relevant to Data Science, as well as the Business Management knowledge needed to implement Data Science projects in a business environment.
  • DestinatáriosRecipients

    This course is aimed at students who have completed secondary education, graduates in other areas or people with other profiles, provided they meet the conditions for access to the course and wish to pursue a career in Data Science. Given its applied approach and preference for active learning methods such as Challenge Based Learning (CBL), this is a course that will interest anyone who likes to solve challenges and get involved in real projects using data.
  • CompetênciasCompetences

    Data Science graduates will have the necessary skills to: - Promote the use of data for decision-making, in public or private institutions; - Master the theoretical foundations and practical applications of statistical and Artificial Intelligence techniques; - Obtain, prepare, make available and analyze data, from various sources and formats, on a large scale (big data); - Identify the most appropriate Data Science techniques, algorithms and technologies for each situation; - Implement ways of visualizing and communicating results; - Create and implement machine learning algorithms, using state-of-the-art techniques and technologies; - Recognize patterns and make predictions from data; - Work on research and development projects, in close collaboration with specialists from a wide range of areas, contributing to the creation of knowledge in science, industry, management and society, based on Data Science.
  • Estudos FuturosFuture Studies

  • Condições de IngressoAccess Conditions

    Application through the institutional access competition, with a pass in one of the following sets of entrance exams:

    16 Maths 04 Economics or 16 Maths 07 Physics and Chemistry or 16 Maths 18 Portuguese or 10 Descriptive Geometry 16 Maths or 13 English 16 Maths or 09 Geography 16 Maths

    Application via: Change of institution/course pair; Special Competition (holders of higher education courses, holders of CETs, holders of CTSPs, Over 23s, holders of dual certification courses); International Student Status.

    Application for the International Student Status.

  • Saídas ProfissionaisCareer Opportunities

    A degree in Data Science allows you to quickly enter the job market in professions such as: - Data Scientist; - Data Analyst; - Data Engineer; - Machine Learning Engineer; - Business Intelligence Specialist; - Big Data Specialist; - Statistician. These professionals are sought after by public and private organizations in a wide range of areas, such as finance, insurance, telecommunications, commerce, industry, health, tourism and transport. The growing demand for Data Science professionals and the shortage of professionals means that they are highly sought-after and well-paid, leading the rankings of emerging professions. According to "The Future of Jobs Report 2020" drawn up by the Word Economic Forum, data scientists and analysts occupy the top position in this ranking. Considering salary, job satisfaction and job openings, the data scientist profession was ranked by glassdoor as the best in the US from 2016 to 2019 and continues to occupy one of the top 3 positions from 2020 to 2022. The course also provides solid training for those wishing to continue their studies towards a Master's degree and/or PhD in an area related to Data Science.