The students should have acquired advanced knowledge and demonstrated an understanding of the theoretical and practical aspects and working methodology in the field of data science and engineering to a depth that reaches the cutting edge of knowledge.
The students should be able, through self-developed and self-supported arguments or procedures, to apply their knowledge, understanding and problem-solving skills in complex or professional and specialized fields of work that require the use of creative and innovative ideas.
The students should have the ability to collect and interpret data and information on which to base their conclusions, including, when necessary and relevant, reflection on social, scientific or ethical issues in their field of study.
The students should be able to cope with complex situations or situations that require the development of new solutions in the academic, work or professional environment within their field of study.
The students should know how to communicate to all types of audiences (specialized or not) in a clear and precise manner, knowledge, methodologies, ideas, problems and solutions in their field of study.
The students should be able to identify their own training needs in their field of study and work or professional environment and to organize their own learning with a high degree of autonomy in all types of contexts (structured or not).