Introduction

The bachelor's degree in Mathematics provides general competence the nature, methods and objectives of the main branches of mathematics and the skills to work in major professions related to the field or to pursue specialized postgraduate studies.

We want students to acquire a capacity for analysis and abstract thought, display intuitionand a capacity for logical thinking, and develop the ability to recognize mathematical patterns in natural, scientific, technological and social phenomena. The degree develops the necessary learning skills for independent further study of mathematics or other related scientific disciplines. Students learn to understand problems, extract the essential information and formulate them mathematically to facilitate their analysis and resolution. The course produces professionals capable of contributing knowledge to other disciplines, such as engineering, biological and health sciences, economics or the social sciences. It prepares them to pursue careers in the business world and in industry, as well as in the banking and finance sectors, consulting, healthcare and services, where mathematicians are in increasingly high demand due to their training and fast learning curve.

Basic information

TypeBachelor's degrees
Faculty or schoolFaculty of Mathematics and Computer Science
Branch of knowledge
  • Sciences
  • Engineering
Credits240
Number of places available

70 (excluding double degrees)

 

Length of course4 academic years
Language(s) of instructionCatalan 72,7%, Spanish 21,4%, English 5,9%
Admission grade

12.734  (July 2022, start of process, via official entrance examinations/vocational training)

 

Approximate price per credit18,46 €
Compulsory placementsNo
CoordinatorJORDI PAU PLANA
Course detailsIndicators
SpecializationsYes

Objectives and competences

Objectives

The nature, methods and objectives of the main branches of mathematics and the skills to work in the field or pursue specialist postgraduate studies.

Analytical skills, abstract thought, and intuition and logic; the ability to recognize mathematical patterns in natural, scientific, technological and social phenomena.

Competences

Generic competences 

  • Capacity for learning and responsibility (capacity for analysis and synthesis, to adopt global perspectives and to apply knowledge in practice, and capacity to take decisions and adapt to new situations). 
  • Capacity to interpret the evolution of the environment in order to promote adaptability. 
  • Ability to use communication and information technologies in professional practice. 
  • Capacity to manage time effectively in contexts of change and uncertainty. 
  • Ability to effectively use bibliography and electronic resources to obtain information. 
  • Teamwork skills. 
  • Ability to learn new knowledge and techniques autonomously. 

Specific competences  

  • Ability to understand and use the mathematical method. Knowledge of rigorous proofs of the basic theorems in different branches of mathematics. 
  • Ability of abstraction and modelling. 
  • Ability to use computer applications to experiment in mathematics and solve problems. 
  • Ability to solve mathematical problems using calculation skills and other techniques. 
  • Ability to recognize the presence of mathematics in other disciplines. 
  • Ability to reason logically and identify errors in procedures. 

Access and admission

Applicant profile and access requirements

Recommended applicant profile

What you will need The ability to work towards goals and a high degree of personal interest in mathematics. Successfully completed school leaver studies in technology, health sciences or natural sciences, with a variety of subjects related to mathematics.

Access requirements and conditions

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.
 

Pre-enrolment

Students that have studied abroad and who wish to study at the University of Barcelona may be admitted to EHEA bachelor's degree courses. Procedures for gaining admission will depend on the qualifications held by each applicant.

For further information about admission, consult the page Admission with foreign qualifications.
 

Enrolment

As a general rule, at the UB you will be required to enrol online via the Món UB portal. To find out the date and time you have been assigned, check the specific information for your course. Remember that you can lose your place if you do not enrol on the day you have been assigned.

Academic information

 

Welcome

Support and guidance

Pre-enrolment information and events

 

Course curriculum

Subjects and course plans

Distribution of credits

Type ECTS
Basic training 60
Compulsory 120
Optional 42
Compulsory placements 0
Compulsory final project 18
TOTAL 240

List of subjects

Subject Language Type Credits
Final Project 1st semester
2nd semester
Compulsory final project 18
Subject Language Type Credits
Advanced Algorithms 1st semester Optional 6
Advanced Probabilities 1st semester Optional 6
Algebraic Topology 1st semester Optional 6
Algorithms 1st semester Optional 6
Analytical Methods in Number Theory 1st semester Optional 6
Artificial Intelligence 1st semester Optional 6
Astrophysics and Cosmology 1st semester
2nd semester
Optional 6
Classical and Quantum Information Theory 1st semester Optional 3
Classical Electrodynamics 1st semester
2nd semester
Optional 6
Company Placement I 1st semester
2nd semester
Practices 6
Company Placement II 1st semester
2nd semester
Practices 6
Computational Physics 1st semester
2nd semester
Optional 6
Continuum Physics 1st semester
2nd semester
Optional 6
Corbes Algebraiques 2nd semester Optional 6
Data Structure 2nd semester Optional 6
Databases 2nd semester Optional 6
Distributed Software 2nd semester Optional 6
Dynamic Meteorology 2nd semester Optional 3
Dynamical Systems 2nd semester Optional 6
Econometric Methods 2nd semester Optional 6
Econometrics I 1st semester Optional 6
Econometrics II 1st semester
2nd semester
Optional 6
Econometrics III 1st semester Optional 6
Elementary Set Theory 1st semester Optional 6
Experimental Design 1st semester Optional 6
Financial Accounting 2nd semester Optional 6
Financial Instruments and Markets 1st semester
2nd semester
Optional 6
Game Theory and Applications in Economics 1st semester
2nd semester
Optional 6
General Relativity 1st semester
2nd semester
Optional 6
Generalized Linear Models 1st semester Optional 6
Harmonic Analysis and Signal Theory 2nd semester Optional 6
History of Economic Thought 1st semester Optional 6
Integrated Software Project 2nd semester Optional 6
Introduction to Commutative Algebra 2nd semester Optional 6
Logic and Languages 2nd semester Optional 6
Machine Learning 1st semester Optional 6
Macroeconomia II 2nd semester Optional 6
Macroeconomics II 2nd semester Optional 6
Macroeconomics III 2nd semester Optional 6
Macroeconomics IV 1st semester
2nd semester
Optional 6
Mathematical Modelling of Forms of Reasoning 2nd semester Optional 6
Mathematics for Financial Operations and Investment 1st semester
2nd semester
Optional 6
Microeconomia I 2nd semester Optional 6
Microeconomia II 1st semester Optional 6
Microeconomics III 1st semester Optional 6
Microeconomics IV 1st semester
2nd semester
Optional 6
Microeconomics II 2nd semester Optional 6
Multimedia Technologies 2nd semester Optional 6
Multivariate Analysis 2nd semester Optional 6
Operating Systems I 2nd semester Optional 6
Operating Systems II 1st semester Optional 6
Partial Differential Equations 1st semester Optional 6
Programming II 2nd semester Optional 6
Public Statistics 2nd semester Optional 6
Quantum Mechanics 1st semester
2nd semester
Optional 6
Quantum Physics 1st semester
2nd semester
Optional 6
Real Analysis and Functional Analysis 1st semester Optional 6
Sampling Methods 2nd semester Optional 6
Software Design 1st semester Optional 6
Software Engineering 1st semester Optional 6
Statistical Methods for Data Mining 1st semester Optional 6
Statistical Physics 1st semester
2nd semester
Optional 6
Statistics for Biosciences 2nd semester Optional 6
Stochastic Processes 2nd semester Optional 6
Teaching and Learning 1st semester Optional 6
Theoretical Mechanics 1st semester
2nd semester
Optional 6
Time Series Analysis 1st semester Optional 6
Workshop on New Uses of Computers 1st semester Optional 6

Pathways and specializations

Specialization in Physics
Specialization in Computer Studies
Specialization in Economics
Specialization in Statistics
Check the planning of the different pathways of the degree

Previous years

Placements

Placements are supervised by tutors and subject to assessment.They are therefore included in the academic record.  There is also an option to complete non-curricular placements of up to 750 hours, which can be extended to 900 hours. For both curricular and non-curricular placements, an educational cooperation agreement is signed between the UB and the company, institution or other organization at which the placement will be carried out.
 

Institutional information

 

Academic procedures

 

Career opportunities

What can you work on ?

  • Secondary education.
  • Private sector computing and telecommunications.
  • Bank holding companies and financial and insurance companies.
  • Consultancy.
  • Higher education and research.
  • Science and technology.
  • Industry.
  • Public administration.

Access to the labour market

Data from the university system in Catalonia

Contact us

Faculty of Mathematics and Computer Science
Gran Via de les Corts Catalanes, 585 - 08007 Barcelona

Secretary: 934 021 598 - 934 021 597
sec.mat.inf@ub.edu

Questions mailbox