Courses detail

Have and understand knowledge that can provide a base or opportunity to be original in the development and/or application of ideas, often in a research context
Students should know how to apply their acquired knowledge and ability to problem-solving in new or little known environments within broader (or multidisciplinary) contexts related to their field of study.
Students should be able to integrate knowledge and face the complexity of making judgement from information that is incomplete or limited, including reflections on the social and ethical responsibilities related to applying their knowledge and judgment.
Students know how to communicate their findings, latest knowledge and reasons supporting them, to a specialised and non-specialised public in a clear and unambiguous way.
Students have the learning skills needed to allow them to continue studying in a way which will be mainly self-directed or autonmous

Integrate effectively in a work group and work in a team, sharing available information and integrating their activity in the group activity, collaborating actively in the attainment of common objectives.
Capacity for study, synthesis and sufficient autonomy to develop basic research projects autonomously
Draw up scientific and technical documents, particularly scientific articles.
Know how to prepare and conduct presentations, before a specialized public, about research or a scientific project.
Plan, design and launch an advanced project.
Search, obtain, process, communicate information and transform it into knowledge
Know the methodological tools needed to develop advanced projects.
Ability to update knowledge exposed in the scientific community.

Analyse and combine information using different sources
Know the ethical and legal problems related to data analysis and understand their importance for a society based on the values of freedom, justice, equality and pluralism.
The domain of time management
Face up to tasks and critical situations.
Ability to work autonomously and decision-making
Abilities associated with working in a team: cooperation, leadership, knowing how to listen.

Use predictive analytics to analyze large volumes of data and discover new relationships.
Use appropriate statistical techniques on available data to achieve a suitable vision of it.
Research and analyze complex data sets, combining different sources and types of data to improve the overall analysis.
Use different data analysis platforms to process complex data.
Ability for the representation of variable and complex data for display.
Develop and implement a data management strategy, in particular in the form of a data (DMP) management plan.
Develop and implement data models, including metadata.
Collect and integrate different data sources and their intake for later analysis.
Ensure the quality of data, their accessibility, and their form of publication (curation).
Manage IPR (Intellectual Property Rights) and ethical issues in data management.
Apply the principles of engineering to research, design and development of a prototype of data analysis applications, or to the development of structures, instruments, machines, experiments, processes, systems required for this purpose.
Develop and apply computational solutions to problems in a certain domain of application, using a wide range of platforms for data analysis.
Create new visions and capabilities through the use of the scientific method (hypothesis, test and evaluation).
Carry out a systematic study directed towards fuller knowledge or understanding of the observable facts, and discover new approaches to achieving the objectives in research or organization.
Carry out a creative work, making systematic use of research or experimentation, in order to discover or revise our knowledge of reality, and use this knowledge in new applications.
Ability to turn strategies into action plans and carry these through to completion.
Apply one's own ingenuity to solving complex problems and developing innovative ideas.
Understand an area of research or business and be able to translate the unstructured problems to an abstract mathematical framework.
Use the available data to improve existing services or develop new services.
Participate strategically and tactically, bringing the vision of Data Science, in decisions that have an impact on management and organization.
Provide scientific, technical and analytical support to other sections in the organization.