Universitat Politècnica de Catalunya · BarcelonaTech

Bachelor's degree in Data Science and Engineering

2017-2018 academic year
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. 
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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
Fees and grants
Approximate fees per academic year: €2,431 (€3,646 for non-EU residents). Consult the public fees system based on income (grants and payment options).
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
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.

Second semester

  • Advanced Algebra and Calculus 7.5
  • Algorithmics and Programming II 7.5
  • Computers 7.5
  • Probability and Statistics 1 7.5

Third semester

  • Algorithmics and Programming III 6
  • Databases 6
  • Information Theory 6
  • Probability and Statistics 2 6
  • Signals and Systems 6

Fourth semester

  • Data Analysis 6
  • Introduction to Audiovisual Processing 6
  • Machine Learning 1 6
  • Mathematical Optimization 6
  • Parallelism and Distributed Systems 6

Fifth semester

  • Advanced Databases 6
  • Entrepreneurship and Innovation 6
  • Information Visualization 6
  • Machine Learning 2 6
  • Search and Information Analysis 6

Sixth semester

  • Advanced Topics in Data Engineering 1 6
  • Engineering Projects 12
  • Image Processing and Machine Vision 6
  • Oral and Written Language Processing 6

Seventh semester

  • Advanced Topics in Data Engineering 2 6

Eighth semester

  • Final Project 18
  • CompulsoryECTS
  • OptionalECTS
  • ProjectECTS
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.
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Academic regulations
Academic regulations for bachelor’s degree courses at the UPC
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