# Study plan Bachelor's Degree in Computational Mathematics and Data Analytics

## Basic skills

• Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
• Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
• Students must be capable of collecting and interpreting relevant data (usually within their area of study) in order to make statements that reflect social, scientific or ethical relevant issues.
• Students must be capable of communicating information, ideas, problems and solutions to both specialised and non-specialised audiences.
• Students must develop the necessary learning skills to undertake further training with a high degree of autonomy.

## Specific skills

• Demonstrate a high capacity for abstraction and translation of phenomena and behaviors to mathematical formulations.
• Calculate and reproduce certain mathematical routines and processes with ease. Relate new mathematical objects with other known objects and deduce their properties.
• Formulate hypotheses and think up strategies to confirm or refute them.
• Use computer applications for statistical analysis, numerical and symbolic computation, graphic visualisation, optimisation and other to experiment and solve problems.
• Design, develop and evaluate efficient algorithmic solutions to computational problems in accordance with the established requirements.
• Apply basic knowledge on the structure, use and programming of computers, operating systems and computer programs to solve problems in different areas.
• Implement and optimise applications based on the functions and structure of parallel, distributed and cloud systems, computer networks and internet.
• Design, develop, maintain and evaluate software systems that allow large volumes of heterogeneous data to be represented, stored and handled in accordance with the established requirements.
• Solve problems related to the analysis of large volumes of data through the design of intelligent systems and computational learning.
• Plan and carry out studies of physical system using analytical or numerical methods and interpret the results.

## Transversal skills

• Using criteria of quality, critically evaluate the work carried out.
• Work cooperatively in a multidisciplinary context assuming and respecting the role of the different members of the team.
• Apply a critical spirit and rigour for the validation or rejection of your own arguments and those of others.
• Make effective use of bibliographical resources and electronic resources to obtain information.