Bachelor in Data Science

The Bachelor in Data Science trains scientists capable of mining and handling massive amounts of information during every stage of the process. Students acquire the necessary knowledge and skills to design data searches, selecting specific data sources and variables of interest according to each problem or project. They also learn to process data using denoising, outlier detection and normalisation methods, and to propose hypotheses, provide answers and solve any prediction, planning and prevention issues that may arise during projects.

The curriculum addresses fundamental aspects of statistics, mathematics, databases, and programming. It also covers other areas that are essential for data scientists, including automatic learning techniques, such as Machine Learning or Deep Learning, or cloud technologies, such as Big Data, Cloud Services and Cloud Computing.

The Bachelor in Data Science is designed for students with a strong foundation in mathematics and a clear interest in data analysis of all kinds, particularly data from social networks, open data portals, financial data, and more. These students should also have a curiosity about current and future technologies in the field of data science, the development of smart cities, and the evolution of the Internet of Things, as these paradigms provide real-time data that serve as the raw material and foundation for this Bachelor.

The ideal incoming student profile for the Bachelor in Data Science includes individuals with knowledge of mathematics, abstract and logical thinking at a technological high school level, as well as basic computer literacy and strong analytical and synthesis skills. No prior knowledge of programming or advanced computer administration is required. Additionally, future Data Science students should demonstrate responsibility and perseverance in their academic performance, as well as the ability to work in interdisciplinary teams.