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Portal UMinho > EN > Education > Educational offer

Data Science (Bachelor) 2022/2023



Academic degree:
  • Bachelor (Bologna 1st cycle degree)
6 curricular semesters
Azurém Campus, Guimarães (UM)
Main Scientific area:
  • Data Science


    School of Sciences
    Campus de Gualtar
    4710 - 057 Braga

    Tel: +351 253604390 Fax: +351 253604398


The Degree in Data Science (LCD) aims to offer high-level scientific training that brings together solid knowledge in mathematics and computing associated with a deep understanding of data processing methods, as well as learning architectures and algorithms. This training is complemented with an ethical approach that guarantees an appropriate, fair, sustainable, and ethically responsible use of data. The LCD course receives contributions from scientific areas associated with Informatics, Information Technologies and Systems, Statistics, and Mathematics, with complements in disciplinary areas such as Economics and Management or Social Science. The LCD course emerges as a differentiated offer from the courses that the University of Minho includes in its portfolio and responds to a first-cycle training need in the area of Data Science.

Key learning outcomes

- Allow understanding of foundations of data, data analysis and statistics.
- Allow understanding of the theoretical foundations of machine learning, optimization, and artificial intelligence methods.
- Promote the development of descriptive, predictive, prospective, and decision-making analysis processes.
- Develop processes of discovery/extraction of knowledge from databases and large volumes of data (data mining).
- Leverage tools that enable collaboration with information technology specialists to integrate data science techniques into decision-support systems.
- Understand the legal and security requirements and procedures underlying the use and governance of data.
- Promote the development of large-scale data analysis skills.
- Allow the student to recognize patterns and develop predictive models through statistical and artificial intelligence techniques.






Access forms

The access to this Cycle of Studies can be done through the following ways:
- Application for National Access to Higher Education Admissions;
- Application for Special Access to Higher Education Admissions;
- Application for Local Access to Higher Education Admissions;
- Application for Special Access to Higher Education Admissions;
- Application for Access to Higher Education Admissions through Re-Entry, Change and Transfer of Course.

Entry requirements

Entrance Testing 

19 Mathematics A

Aditional Information


Graduation course training integrated in the project "Graduate Alliance - Skills for the Future", with PRR (Next Generation EU) funding, resulting from the application of the University of Minho to Call No. 002/C06-i03.03/2021 for Investment Program RE-C06-i03 - Incentive for Adults and, in particular for this course, to Call No. 002/C06-i04.01/2021 submitted to Investment Program RE-C06-i04 - Impulse Young STEAM.

Study Plan

Regime Curricular Unit Scientific Area ECTS
Year 1 60
S1 Algorithmics and Programming TSI 5
S1 Calculus for Engineering M 5
S1 Computing Systems I 5
S1 Declarative Programming for Data Science I 5
S1 Discrete Structures in Data Science CD 5
S1 Linear Algebra for Engineering M 5
S2 Algorithmic Techniques and Computability CD 5
S2 Fundamentals in Machine Learning CD 5
S2 Mathematical Analysis for Engineering M 5
S2 Probability and Statistics I EST 7.5
S2 Statistical Laboratories EST 7.5
Year 2 60
S1 Communications and Networks Fundamentals I 5
S1 Database Topics TSI 5
S1 Environments and Programming Languages for Data Science CD 5
S1 Linear Models and Applications EST 7.5
S1 Probability and Statistics II EST 7.5
S2 Advanced Database Topics TSI 5
S2 Data Science in Economics E 5
S2 Fundamentals of Artificial Intelligence CD 5
S2 Machine Learning Paradigms CD 5
S2 Optimization for Data Science CD 5
S2 Sampling and Data Processing CD 5
Year 3 60
S1 Connectionist Systems for Machine Learning CD 5
S1 Data Engineering for Decision-Making Support TSI 10
S1 Distributed Data Processing Environments I 5
S1 Time Series EST 5
S1 Opção 5
Automated Reasoning M 5
Bioinformatics Applied to the Analysis of Genomic Data BIO 5
Data Science for Chemistry QUI 5
Data Science for Physics Fis 5
Earth and Environmental Systems Modelling GEOL 5
Information Systems TSI 5
Introduction to Quantum Data Science I 5
Language Processing for Data Science CD 5
Topics of Biostatistics EST 5
S2 Ethics in Data Science SOC 5
S2 Intelligent Decision Support Systems TSI 5
S2 Large-Scale Data Science CD 5
S2 Project in Data Science CD 10
S2 Opção UMinho 5


A3ES Accreditation status:
Resolution publication date:
Registry number at Ministry:
R/A-Cr 130/2022
Registry Date:
Accreditation validity:

  • Universidade do
  • Largo do Paço
    4704-553 Braga
  • T.:253 601 100, 253 601 109
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