Bachelor's degree in Data Science and Engineering

Barcelona School of Informatics (FIB)

Barcelona School of Telecommunications Engineering (ETSETB)

School of Mathematics and Statistics (FME)

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.

General details

Duration

4 years

Study load

240 ECTS credits (including the bachelor's thesis). One credit is equivalent to a study load of 25-30 hours.

Delivery

Face-to-face

Language of instruction

Check the language of instruction for each subject (and timetable) in the course guide in the curriculum.

Information on language use in the classroom and students’ language rights.

Fees and grants

Approximate fees per academic year: €1,107 (€2,553 for non-EU residents). Consult the public fees system based on income (grants and payment options).

Location

Barcelona School of Informatics (FIB) (coordinating school)
Barcelona School of Telecommunications Engineering (ETSETB)
School of Mathematics and Statistics (FME)

Admission

Places: 50
Registration and enrolment: What are the requirements to enrol in a bachelor's degree course?
Legalisation of foreign documents: All documents issued in non-EU countries must be legalised and bear the corresponding apostille.

Curriculum

First semester

Second semester

Third semester

Fourth semester

Fifth semester

Sixth semester

Seventh semester

Acoustics and Electroacoustics 6
Advanced Topics in Data Engineering 2 6
Audiovisual Technology and Production 6
Challenge Based Innovation 6
Computational Biophysics 6
Computer Simulation of Condensed Matter 6
Data Science in Bioinformatics and Computational Biology 6
Description and Retrieval of Audiovisual Content 6
Digital Design 6
Ethics in Science and Engineering 6
Internet of Things 6
Introduction to Deep Learning 2
Introduction to Research in Data Science Engineering 6
Matlab and Its Applications in Engineering 6
Music Signal Processing 2
Programming for Multimedia Applications 6
Quantum Computing 6
Reinforcement Learning and Deep Learning 6
Remote Sensing and Earth Observation Systems 6
Seminar on Advanced Statistics I 3
Seminar on Advanced Statistics II 3
Sensors, Actuators and Microcontrollers in Mobile Robots 6
Social and Environmental Issues Od Information Technologies 6

Eighth semester

Bachelor's Thesis 18

CompulsoryECTS
OptionalECTS
ProjectECTS

Professional opportunities

Professional opportunities

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.

Double-degree agreements

Within the framework of the courses offered by the Interdisciplinary Higher Education Centre (CFIS)
You can also take an interdisciplinary double degree coordinated by the CFIS at two UPC schools.
Further information on the CFIS website

Quality accreditation

Check the degree’s main quality indicators in the University Studies in Catalonia portal of the Catalan University Quality Assurance Agency. Find information on topics such as degree evaluation results, student satisfaction and graduate employment data.

Further information