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Bachelor in Applied Statistics
​
Trains professionals who master various techniques of statistics, with communication and group work skills, allowing their integration in multidisciplinary teams to support the decision-making in large organizations. These may be hospitals and pharmaceutical companies, consultants, banks and insurance companies, media, government entities and municipalities, universities, industry. The degree has a strong component of modelling and solving problems in areas as diverse as medicine, biology, physics, engineering, economics and finance.​

2026/2027

General

Academic degree:
  • Bachelor (Bologna 1st cycle degree)
ECTS:
180
Duration:
6 curricular semesters
Regime:
Daytime
Place:
Azurém Campus, Guimarães (UM)
Main Scientific area:
  • Statistics

Contacts

    School of Sciences
    Campus de Gualtar
    4710 - 057 Braga
    Tel: +351 253604390 Fax: +351 253604398
    E-Mail: cpedagogico@ecum.uminho.pt; sec@ecum.uminho.pt
    URL: http://www.ecum.uminho.pt

Description

The degree course in Applied Statistics is developed over 3 academic years (total of 180 ECTS). The first year is oriented to the learning of mathematical concepts, fundamentals of probability theory and concepts in the area of economics/financial mathematics. Awareness raising for the area of statistics is done through the CU of Statistical Laboratories (I and II) with the use of computational and programming tools. In the second year there is a consolidation of mathematical concepts, advancing to several applied areas of Statistics. Students complement their training with concepts of Operational Research and Computing. In the third year, training in statistical modelling with more specific CU prevails, such as large data processing. The classes of the course take place mostly in a computational laboratory context. The last semester is predominantly dedicated to an internship or project, creating the conditions for the student to be easily integrated into the job market. Also in the last semester there is a CU of general character: Opção UMinho. This course allows the acquisition of a wide range of skills and competences, namely in mathematics, statistics, operational research and information systems, analytical skills, problem solving skills, data science skills, autonomous learning ability and ability to integrate multidisciplinary teams.

Key learning outcomes

1. Develop capacity to formulate, model and solve problems of diverse and changing areas;
2. Stimulate the interest, knowledge and flexibility to study and develop applications;
3. Develop capacity for abstraction, logical reasoning and identification of the structures underlying various situations;
4. Develop specific knowledge of the appropriate tools to formulate and solve problems;
5. Develop the ability to apply analytical reasoning, to deal with complexity, to deal with concepts, to implement models, to formulate and solve problems;
6. Stimulate the critical spirit, essential for deciding on appropriate ways to read information and interpret results of studies carried out and communicate them to different audiences (specialists or not).

Access to higher education

This course confers the technical-scientific capacity to access second cycle courses in several areas such as Applied Mathematics, Statistics, Operational Research, Economics and Management, as well as several Engineering areas, given the transversality of the basic training of this degree.

Careers

The Degree in Applied Statistics aims to train professionals who can work in organizations in different areas such as hospitals, pharmaceutical laboratories, consultancies, banks and insurance companies, the media, government entities and local authorities, universities, industry.

Access

45

Vacancies

0

Minimum

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.

Formal requirements

Entrance Testing

One of the following sets:
19 Mathematics A
or
19 Mathematics A
18 Portuguese
or
02 Biology and Geology
19 Mathematics A
or
04 Economics
19 Mathematics A
or
07 Physics and Chemistry
19 Mathematics A

This information must be verified on
http://www.dges.gov.pt/guias/detcursopi.asp?codc=9381&code=1000

Aditional Information

Testimonials from (ex)students

<a href="https://www.youtube.com/watch?v=H50PmkG4gKU&index=1&list=PLMb5yRS6uxu4RaykGY4ZnlvcBliLgR8Bz">https://www.youtube.com/watch?v=H50PmkG4gKU&index=1&list=PLMb5yRS6uxu4RaykGY4ZnlvcBliLgR8Bz</a>

Study Plan

Regime Curricular Unit Scientific Area ECTS
Year 1 60
S1 Álgebra Linear para Ciências M 5
S1 Algorithmics and Programming TSI 5
S1 Calculus M 5
S1 Discrete Structures in Data Science CD 5
S1 Laboratory Statistics I EST 10
S2 Complements of Linear Algebra and Analytic Geometry M 5
S2 Introduction to Marketing G 5
S2 Laboratory Statistics II EST 7.5
S2 Mathematical Analysis M 5
S2 Probability and Statistics I EST 7.5
Year 2 60
S1 Complementos de Análise Matemática M 5
S1 Information Systems TSI 5
S1 Laboratory Statistics III EST 7.5
S1 Operational Research I EIS 5
S1 Probability and Statistics II EST 7.5
S2 Computational Methods M 5
S2 Linear Models and Applications EST 7.5
S2 Surveys and Sampling Methods EST 7.5
S2 Technologies of Databases TSI 5
S2 Opção I 5
Operational Research II EIS 5
Optimization for Data Science CD 5
Year 3 60
S1 Multivariate Analysis and Applications EST 7.5
S1 Statistical Learning EST 5
S1 Stochastic Processes EST 7.5
S1 Time Series EST 5
S1 Topics of Biostatistics EST 5
S2 Opção II 25
Internship in Applied Statistics EST 25
Project in Applied Statistics EST 25
S2 Opção UMinho 5

Assessment/Accreditation

A3ES Accreditation status:
Accredited
Resolution publication date:
15-05-2026
A3ES deliberation:
https://si.a3es.pt/sia3es/page?stage=ConsultaPublicaProcesso&processID=27941
Registry number at Ministry:
R/A-Ef 2425/2011/AL02
Registry Date:
21-05-2026
Accreditation validity:
31-07-2032