Master's Degree in Data Sciencefacultad de Informática de Barcelona (Fib)

The Master’s degree in Data Science teaches data management and data analytics. It includes topics across areas such as ethics and entrepreneurship, aiming to train highly qualified professionals with strong innovation capacity for managing and analysing data. The program is designed as an interdisciplinary proposal in data science.

The degree is delivered as a structured curriculum of modules across four academic terms, with 120 credits ECTS for two academic years. It includes compulsory modules across areas such as algorithms, databases, data analysis, data engineering, machine learning, and data visualization. The program also includes research and innovation components and culminates in a Master’s thesis.

Modules

• Algoritmos, Estructuras de Datos y Bases de Datos
• Almacenes de Datos
• Análisis Multivariante
• Ciencia de Datos Orientada a Procesos
• Inferencia Estadística y Modelización
• Administración de Datos Masivos
• Aprendizaje Automático
• Gestión de Datos Semánticos
• Minería de Datos No Estructurados
• Algoritmia para Minería de Datos
• Bioinformática y Genética Estadística
• Computación en la Nube y Análisis de Datos Masivos

Access to the master’s degree requires completing the general master’s academic access requirements and the specific access requirements below. Because the master’s is taught entirely in English, you must provide proof of an English level B2 or equivalent.

Recommended admission profile: students with a degree in Computer Science (or an equivalent degree in Informatics/Computer Engineering under the previous study structure) or a degree in Mathematics (or an equivalent under the previous study structure).

Related degrees are also considered, including degrees in Physics (or equivalents), Statistics (or equivalents), degrees in Telecommunications/related engineering fields (or equivalents), Civil Engineering (or equivalents), and Industrial/Technical Engineering with electronics/automation (or equivalents). Degrees considered closely related include Bioinformatics (or equivalents), Artificial Intelligence (or equivalents), and Data Science and Engineering (or equivalents). For related degrees, the student’s curriculum should cover mathematical and informatics knowledge with sufficient depth. Equivalent foreign degrees are also considered.

B2 English level or equivalent

• Data scientist (científico de los datos)
• Data engineer (ingeniero de los datos)
• Data specialist
• Data administrator
• Data architect