Universitat de Barcelona

Statistics

What you will learn

The bachelor's degree in Statistics is an inter-university degree taught jointly by the University of Barcelona and the Polytechnic University of Catalonia. Graduates benefit from the growing demand for professionals with skills in data science. Their expertise in data processing is necessary for decision-making in the corporate and institutional worlds. Career opportunities are manifold: finance, consultancy, business intelligence, machine learning, big data, bioscience, industrial quality control, etc.

The bachelor's degree in Statistics is intended for students with an interest in data analysis and its applications. Every time we browse the Internet, open an app on our mobile phone, visit the doctor or do the shopping we generate large quantities of data. However, data do not mean anything unless professionals with a solid background in statistics can transform them into useful information for companies and institutions.

In order to give students a solid foundation, the curriculum begins with subjects in mathematics and programming before moving on to probability and statistics and their many applications. Most subjects are of a practical nature, outlining the methods for gathering and correctly analysing sets of data, thus contributing to decision-making. Many students carry out placements in companies or take part in international mobility programmes, which complete their training and help them grow personally and professionally.

The optional subjects in the degree enable students to orient their professional future toward different areas, which include emerging disciplines like big data and machine learning. Other students choose to specialise in financial, biomedical, industrial or demographic data analysis, among other areas. Graduates find jobs in strategic or business data consultancy agencies, in the central services of financial or insurance entities, in research centres, in public administration, as industrial quality control specialists, etc


Number of ECTS credits: 240
Branch of knowledge: Social Sciences
Faculty or school: Faculty of Economics and Business

What you will need

  • Students with an interest in data analysis techniques and how these techniques are applied to decision-making in different areas: business intelligence, machine learning, bioscience, economics, finance, engineering, etc.
  • Disposition to use mathematics and computer science from the first stages of training as a statistician.
  • Knowledge of mathematics at upper secondary school level. Ability to analyse and interpret numerical results.

Distribution of credits

Subject area typeECTS credits
Basic training66
Compulsory126
Optional30
Compulsory placements0
Compulsory final project18
TOTAL CREDITS240

Subjects (information available in Catalan)

Admission for students with studies completed outside Spain

Admission for students with studies completed outside Spain.

Applicants holding higher educational qualifications from a university outside Spain should consult the page Admission with foreign qualifications to find out about specific admission requirements.
 

Fields in which you can work

  • Business intelligence: data, business and strategic consultancy agencies. Companies which use the analysis of their clients' data to prepare strategic plans for improvement, to increase sales, performance and turnover and to improve product quality, business organization, etc.
  • Machine learning: technology companies that design statistical algorithms to improve decision-making based on previous data analysis and to provide new inputs in every step of the process. Computational statistics
  • Economy and finance: central services of financial entities, banking, risk assessment, stock market, portfolio management, financial analysis, market research, pricing policies, insurance.
  • Biosciences: research using biomedical data in hospitals or research centres, public health, pharmaceutical industry, clinical trials, animal health, environment, life sciences, bioinformatics, agriculture, etc.
  • Public administration: official statistics institutes, demographic projections, social trends, job market, optimum allocation of resources, etc.
  • Industry and services: experiment design, quality control, process and product improvement, logistics, production planning, optimum management of resources, etc.
  • Teaching and research: university teaching and research, secondary education, etc.