Master’s Degree in Mathematical Modelling, Statistics and Computer Science
Solve problems in the field of technology, industry, etc.cent through mathematics or develop a research career in technology centers or companies.
This master's degree has an inter-university character and simultaneously provides a degree from the Universities of Zaragoza, Oviedo, Basque Country, Public University of Navarra, La Rioja and La Laguna.
- Language: Spanish
- Credits: 60 ECTS
- Duration: 2 semesters (1 year). It is possible to study it during 2 years
- Places: 90 (15 for the UPNA)
- Modality: in-person
- Academic Director: Víctor Domínguez Báguena
- Center: School of Industrial & ICT Engineering
- Where lessons take place: Vizcaya (Leioa) and Zaragoza
- Information leaflet (pdf)
Presentation
Master’s degree in line with the Sustainable Development Goals of the UN 2030 Agenda.
Why study the Master’s Degree in Mathematical Modelling, Statistics and Computer Science?
- You will simultaneously obtain the degree from the Universities of Zaragoza, Oviedo, Basque Country, Public University of Navarra, La Rioja and La Laguna
- You will be able to access the doctoral programs of the 6 universities
- Hands-on training to gain experience in modeling and resolution
- Actual practice
- Training in specialized case simulation software.
- More information about this master's degree in:
You can do this master's degree with:
Specialisation
Training in competencies
Languages
From which degrees can I access the Master’s Degree in Mathematical Modelling, Statistics and Computer Science?
- Degree/License in Mathematics.
- Degree/Diploma in Statistics
- Degree in Biotechnology
- Physics Degree
- Engineering
- Degrees equivalent to the above at the discretion of the Master's Degree Academic Committee
Support for students
What will I be able to work in when I finish the Master’s Degree in Mathematical Modelling, Statistics and Computer Science
- Technology centers, where you will develop activities of:
- Research
- Software design and programming
- Logistics and distribution
- Optimization of industrial processes
- Big data, neural networks and deep learning
- Quality control
- In the banking or insurance sector: in risk analysis
- Data processing and statistics
Learning otucomes / Competencies
Consult the learning outcomes (study programme 7210)
Consult the competencies (study programme 717)
Access and admission
Access requirements
To be admitted to the official Master's Degree courses, students must hold an official university degree issued by a higher education institution in the European Higher Education Area or in other countries which entitles them to access Master's degree courses in the country issuing the degree.
Specific criteria for the Master's degree
The Master's Degree Academic Committee is ultimately responsible for determining admission. If demand exceeds the number of places available, students will be admitted to the Master's in accordance with the average score of the academic record.