Space applications
training courses

Bachelor's degree in Data Science and Engineering

• Organisation : ETSETB - Telecos - UPC
  (UPC (Universitat Politècnica de Catalunya))
• Way of training : Initial education
• Language(s): Spanish
• Place: Barcelona (Spain) (French Regions: Europe)
• Prepared diploma/grade/title: French Bachelor degree
• 1st required level : French baccalauréat + 0

Course Details

Objectives : The bachelor's degree in Data Science and Engineering responds to the need for graduates who have a multidisciplinary view of engineering and who are able to take on the challenges posed by technological advances that are based, in large part, on computational systems that generate and analyse massive amounts of data. The degree aims to produce professionals who are experts in analysing and engineering structured and unstructured data (text, audio, video, medical tests, financial indicators, etc.) and who have a solid grounding in mathematics and the engineering skills to model and solve complex problems. Data science and engineering is an emerging field that has applications as diverse as financial analysis, the study of physical phenomena, e-commerce, smart cities, biomedical information, genomics and social networks.

Degree Level (EU) : 6 - (EQC level or equivalent)

Targeted careers : Leading and managing projects in multinational companies and new, specialised companies in sectors as diverse as finance, medicine, automotive engineering, internet distribution and sales, and video games.
Analysing data for the financial sector and insurance companies and public administrations that work with large amounts of information.
Optimising the use of resources and planning processes in companies, transport systems and public administrations.

Duration and terms : 4 years

Dedicated web site : https://telecos.upc.edu/en/study-programs/degrees/bachelors-degree-in-data-science-and-engineering

Applications

• Legal and Economics (Law, contracts, standards; Trade, finances, facilities sharing economy...)

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)