![]() The work of the data scientist is closely related to business strategy in a wide variety of sectors, as machine learning and artificial intelligence technologies find application at various business levels, ranging from business intelligence itself to human resources, to customer and supplier management or digital marketing. Graduates will also need to be up to date with the latest cutting-edge computing technologies, as they will have to work with datasets of different nature and be able to run their algorithms on big data effectively and efficiently.įurthermore, they will be able to develop their professional career in all industrial and professional sectors that demand the profile of a data scientist and data engineer. To this end, graduates will have strong programming skills, the ability to design new algorithms, handle large volumes of data and the analytical skills to interpret the results of their findings and display them using visualisation techniques. In addition, graduates will be able to convert raw data into knowledge, applying statistical, machine learning and pattern recognition techniques to solve critical business problems. Graduates of the Bachelor's Degree in Data Science and Engineering must be able to design and manage infrastructures that support large amounts of data for subsequent analysis, to design and build systems capable of integrating data from various sources and process large volumes of data in order to optimise the performance of the data ecosystem of a company, organisation or entity. Therefore, students must demonstrate a good level of linguistic competence in English equivalent to level B2 in the Common European Framework of Reference for Languages, given that they will be taught in English and will be working with texts, materials, exercises, etc. Personal attitudes of initiative, teamwork, personal organisation of work, capacity for abstraction, critical thinking and responsibility and interest in the practical application of knowledge to solve real problems are highly valued, as well as a high level of competence in management skills and technological management.įinally, the University only offers the degree in English, which means that students must complete their 240 credits in English. If we are to highlight any suitable competence content in relation to the entry profile, the student should have a good previous training in Mathematics. In relation to access to Vocational Training, although there are no access limitations to the degrees depending on the branch to which they are attached, for access to this degree it is more recommendable to take the Higher Level Training Cycles of the professional family of Computer Science and Communications, especially the training cycles of Higher Technician in Administration of Networked Computer Systems, development of multiplatform applications and development of web applications. In view of the access routes and requirements, it is highly recommended that students entering this Degree have studied the Baccalaureate in Science (or, where appropriate, an equivalent Baccalaureate or similar in terms of the subjects studied when the student comes from non-Spanish educational systems).Īs can be seen in the Programme, this degree combines the learning of a set of multidisciplinary knowledge and competences from areas of knowledge such as mathematics, statistics, computer science and telecommunications.
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