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Entry profile

 Versión español

The recommended entry profile is that of a person who has the following skills and knowledge:

  • Has advanced knowledge in statistics, computer science, mathematics, economics, business administration and management, and sociology, as well as in research methodology in the aforementioned areas and others of a specialized or multidisciplinary nature. This knowledge is generally acquired in undergraduate and master's degree programs in the mentioned fields.

  • Has the necessary knowledge of English, both written and spoken, equivalent to a B2 level. They may also demonstrate knowledge of other languages that could be useful for the specific needs of their research within the area of this doctoral program. In the case of non-Spanish-speaking students, they must have sufficient proficiency in Spanish (reading, writing, and speaking) to allow adequate participation in the Doctoral Program.

 

This recommended entry profile is based on the Spanish Framework for Qualifications in Higher Education, as established for the Master's level (MECES-3) (Royal Decree 1027/2011, of July 15). Therefore, applicants must possess the following competencies, expressed as learning outcomes:

  1. Have acquired advanced knowledge and demonstrated, in a context of scientific and technological research or highly specialized fields, a detailed and well-founded understanding of the theoretical and practical aspects and working methodology in the fields of study of the program.

  2. Be able to apply and integrate their knowledge, understanding, scientific foundation, and problem-solving abilities in new or loosely defined environments, including multidisciplinary research and highly specialized professional contexts.

  3. Be able to evaluate and select the appropriate scientific theory and precise methodology from their fields of study to formulate judgments based on incomplete or limited information, including, when necessary and appropriate, reflection on the social or ethical responsibility associated with the proposed solution.

  4. Be capable of predicting and controlling the evolution of complex situations through the development of new and innovative methodologies adapted to the specific scientific, research, technological, or professional field, generally multidisciplinary, in which they operate.

  5. Be able to clearly and unambiguously communicate, to both specialized and non-specialized audiences, results from scientific and technological research or from advanced innovation, as well as the most relevant underlying principles.

  6. Have developed sufficient autonomy to participate in research projects and in scientific or technological collaborations within their thematic area in interdisciplinary contexts and, where appropriate, with a strong component of knowledge transfer.

  7. Be capable of taking responsibility for their own professional development and specialization in one or more fields of study.

 

Other entry profiles

 

Applicants from other fields of social sciences, health sciences, natural sciences, or engineering may also apply. Those applicants who do not fully match the recommended entry profile, based on their prior knowledge, but come from the aforementioned areas, will be required to demonstrate in their Curriculum Vitae specific training in statistics, computer science, mathematics, economics, business administration and management, and sociology.

It is recommended that students entering the doctoral program hold a bachelor's or undergraduate degree in statistics, computer science, mathematics, economics, business administration and management, or sociology. Additionally, graduates are recommended to have completed at least 60 ECTS credits of the Master's in Data Mining and Business Intelligence or other master's degrees taught at the Faculty of Statistical Studies or at other institutions with similar content. Students coming from the Master's in Data Mining and Business Intelligence will not require additional training. For others, the need for additional training will be assessed, as described in the section Additional Training on this website.

The Academic Committee will, in any case, assess other profiles, such as students from other countries or applicants with professional experience in the fields of statistics, computer science, mathematics, economics, business administration and management, and sociology. In general, it will evaluate those profiles where it is more difficult to determine the suitability of prior studies and training for the Doctoral Program, and will inform the applicant of their admission or non-admission with a reasoned decision.