Academic Degree
Bachelor (Bologna 1st cycle degree)
General Objectives
This Degree has as fundamental objective the formation of competent and multidisciplinary staff that integrate knowledge and skills in the areas of Mathematics, Statistics and Computer Science.
The 6 semester study plan links these areas by allowing for a solid training in Mathematics and Statistics combined with skills in the field of Computer Science, which provides fundamental training in the field of Data Science, with the acquisition of skills for the treatment of data and for the choice and implementation of classical or non-classical modeling and inference methods, using computing, statistics, artificial intelligence and new technologies, adapted to the dimension of real problems oriented to Industry and Services or for scientific research, in business or academic circles.
CNAEF Classification
Mathematics and Statistics
(460) Portaria n.º 256/2005 [PT]
Study Programme/Publication in the Portuguese Official Gazette
6 semesters
Requirements and Regulations
Other Information
Career Opportunities
The Degree in Applied Mathematics and Data Science (AMDC) aims to address some of the competitiveness problems arising from globalization, focusing on the creation of a cycle of studies that responds to the growing demand for professionals capable of undertake the analysis and processing of massive amounts of data, requiring a solid background in mathematics as well as the tools essential for its effective realization, such as computer science and computation skills and, particularly, the artificial intelligence.
With this academic qualification, the student may choose an advanced training course in different Master or PhD programmes, or enter to the labour market becoming an asset to the regional or national business environment, given his ability to innovate in handling large amounts of information.
Graduate Profile
The degree in AMDC prepares future professionals with skills to transpose theoretical knowledge to practical contexts deepening the relationship between the knowledge and the know-how. The AMDC graduate is intended to able to:
- Select the model that best suits the approach to a particular type of problem, individually or integrated in a multidisciplinary team.
- Solve modelling and optimization problems by choosing the mathematical model and the best-suited computer tool.
- Collect and analyse data (information) effectively and respecting legal and deontological aspects.
- Analyse information in light of the multidisciplinary knowledge acquired.
- Adapt to new and complex situations by proposing innovative and creative approaches.
- Communicate the results effectively to his interlocutors or audience.
- Continue his/her academic training through postgraduate studies, at national or international level.
Entities to Practice
The MACD graduate responds to the needs of the labor market with his/her training to exercise a position of superior technician, from SMEs to large industrial companies (technology, telecommunications, textiles, footwear, automobiles, etc.) or services (institutions of higher education, public administration, banks, insurance companies, retail, hospitals, etc.).
L193 (See more information) [PT]
Admission Tests
Mathematics (19) or
Mathematics (19) and Economics (04) or
Mathematics (19) and Physics and Chemistry (07)
Minimum Classification
Entrance Testing: 95 (scale of 0-200)
Application Note: 95 (scale of 0-200)
Lowest Admission Grade (1st phase)
2022: 111,3
2021: 125,6
2020: 102,8
Calculation of the Grades
Arithmetic Average of Secondary School: 65%
Entrance Examinations: 35%
Resolution Date
A3ES Deliberation
Registry Date
Accreditation Validity