BSc Mathematics

4 Years On Campus Bachelors Program

University of Barcelona

Program Overview

The Bachelor's Degree in Mathematics at the University of Barcelona provides a strong foundation across all major areas of mathematics while developing analytical thinking, logical reasoning, abstraction, and problem-solving skills. Designed for students who enjoy mathematical challenges and want to apply mathematics in science, technology, finance, research, or further postgraduate study, the programme combines rigorous theoretical learning with computational and modelling techniques.

Curriculum Structure

Year 1 – Building the Mathematical Foundations

During the first year, students establish the essential concepts required for advanced mathematical study. Core subjects such as Introduction to Mathematical Analysis, Introduction to Linear Algebra, Calculus in One Variable, Linear and Multilinear Algebra, Introduction to Programming, Algorithmics, and Numerical Methods I develop mathematical reasoning, computational skills, and the ability to solve problems using formal mathematical methods.

Year 2 – Expanding Core Mathematical Knowledge

The second year introduces more advanced mathematical theories and their applications. Through modules including Differential Calculus in Several Variables, Integral Calculus in Several Variables, Algebraic Structures, Topology, Discrete Mathematics, Projective Geometry, and Numerical Methods II, students deepen their understanding of abstract mathematics while strengthening analytical and computational techniques.

Year 3 – Advanced Mathematical Theory and Applications

In the third year, students explore specialized mathematical disciplines that form the backbone of modern mathematics. Subjects such as Real Analysis, Complex Analysis, Probability, Statistics, Ordinary Differential Equations, Partial Differential Equations, Differential Geometry, and Galois Theory prepare students to model complex scientific problems and apply mathematics across diverse fields.

Year 4 – Specialisation and Independent Research

The final year allows students to tailor their studies through optional subjects such as Astrophysics and Cosmology, Game Theory and Economic Applications, Mathematics of Financial Operations and Investment, General Relativity, and Multivariate Data Analysis. Students also complete a Final Degree Project, demonstrating their ability to conduct independent mathematical research while developing expertise in an area of personal interest. The programme also offers pathways in Fundamental Mathematics, Data Science, and Economics.

Focus Areas (in a string)

Mathematical Analysis, Linear and Abstract Algebra, Geometry, Topology, Numerical Methods, Differential Equations, Probability, Statistics, Programming, Data Science, Mathematical Modelling, Financial Mathematics, Scientific Computing, Research Methods.

Learning Outcomes (in a string)

Develop rigorous mathematical reasoning, apply analytical and computational methods to solve complex problems, construct and evaluate mathematical proofs, model scientific and technological phenomena, use programming and numerical techniques effectively, communicate mathematical concepts clearly, work independently and collaboratively, and prepare for professional practice or postgraduate research.

Professional Alignment (Accreditation)

The programme is an official Bachelor's Degree offered by the University of Barcelona within the European Higher Education Area (EHEA). Graduates earn a recognised qualification that provides access to postgraduate studies and careers across mathematics, science, technology, finance, education, research, and industry.

Reputation (Employability Rankings)

The University of Barcelona is internationally recognised for its academic excellence and research reputation. The Mathematics degree prepares graduates for careers in education, computing and telecommunications, banking and finance, insurance, consultancy, scientific research, industry, and public administration, while also providing a strong pathway to master's and doctoral studies.

Experiential Learning (Research, Projects, Internships etc.)

The Bachelor's Degree in Mathematics at the University of Barcelona combines rigorous mathematical theory with hands-on computational learning and independent research. From the first year, students strengthen their practical skills through programming, numerical computation, mathematical modelling, and problem-solving while studying in the Faculty of Mathematics and Computer Science. As students progress, they apply mathematical methods to real-world scientific, technological, and economic challenges through project work, research activities, and professional placements. This practical learning experience is supported by modern computing resources, research-active academic staff, specialised libraries, and opportunities to gain workplace experience through university-industry partnerships:

Programming and computational mathematics: Students develop computational skills through modules such as Introduction to Programming, Algorithmics, Numerical Methods I, and Numerical Methods II, enabling them to solve mathematical problems using computer-based techniques.
Mathematical software and computing: The curriculum emphasises the use of computer applications for mathematical experimentation, numerical computation, modelling, and problem-solving, helping students bridge theoretical mathematics with practical applications.
Research-led Final Degree Project: Every student completes a 12-ECTS Final Degree Project, allowing them to investigate an advanced mathematical topic independently under academic supervision while developing research, analytical, and scientific communication skills.
Industry placements: Although compulsory placements are not part of the degree, students can undertake curricular and non-curricular internships with companies, research institutions, or organisations through educational cooperation agreements. Non-curricular placements may extend up to 900 hours, providing valuable professional experience before graduation.
Collaborative learning: The programme develops teamwork through collaborative problem-solving activities, mathematical discussions, and project-based learning integrated into coursework. Teamwork is identified as one of the programme's core competencies.
Faculty of Mathematics and Computer Science: Students study in a faculty recognised for its strong teaching, research, and knowledge transfer in mathematics and computer science, benefiting from interaction with researchers across multiple mathematical disciplines.
Research environment: Students learn from research-active academics and have opportunities to engage with seminars, scientific activities, and the faculty's research culture throughout their studies.
Library and digital resources: Learners have access to the University of Barcelona's extensive library system, electronic journals, mathematical literature, and digital academic resources that support coursework and independent research.
Specialisation pathways: In the final year, students can pursue specialised pathways such as Fundamental Mathematics, Data Science, or Economics, allowing them to apply mathematical knowledge in different professional and research contexts.

Progression & Future Opportunities

Graduates of the Bachelor's Degree in Mathematics at the University of Barcelona leave with strong analytical, computational, and problem-solving skills that are highly valued across scientific, technological, financial, and public sectors. The programme is designed to prepare students for immediate entry into professional careers while also providing the academic foundation required for specialised postgraduate study and research. Typical career paths include Data Scientist, Mathematician/Researcher, Financial or Risk Analyst, and Software or Computational Analyst. From graduation, students can benefit from the following opportunities:

Career and employability support: Students have access to the University's Student Support Service (SAE) and FeinaUB, the University of Barcelona's employment platform, which connects students with internships, graduate vacancies, employer events, and career guidance services.
Professional placements and employer connections: The programme offers both curricular and non-curricular placements through educational cooperation agreements with companies, research centres, public institutions, and other organisations, helping students gain valuable industry experience before graduation.
Graduate career opportunities: According to the University of Barcelona, graduates commonly pursue careers in secondary education, computing and telecommunications, banking, finance, insurance, consultancy, higher education and research, science and technology, industry, and public administration.
Employment statistics and salary figures: The University does not publish official employment rates or graduate salary figures specifically for this programme. However, the degree is designed to equip graduates with competencies that support employment across a wide range of high-demand quantitative professions.
University–industry partnerships: Through the University's external placement programme, students work with companies and organisations under formal cooperation agreements, enabling them to gain practical experience and develop professional networks while completing their studies.
Long-term qualification value: As an official Bachelor's Degree within the European Higher Education Area (EHEA), the qualification is internationally recognised and provides eligibility for postgraduate study and professional opportunities throughout Spain and many other countries.
Graduate outcomes: The programme develops advanced skills in mathematical reasoning, modelling, programming, abstraction, and data analysis, enabling graduates to contribute across engineering, health sciences, economics, business, finance, technology, research, and public-sector organisations.

Further Academic Progression:

After completing the Bachelor's Degree in Mathematics, graduates can continue their education by pursuing official master's degrees in mathematics, data science, statistics, artificial intelligence, financial mathematics, computer science, operations research, economics, engineering, or other quantitative disciplines. The qualification also provides the academic preparation required to undertake doctoral (PhD) studies and research careers in mathematics and related scientific fields, both at the University of Barcelona and at universities worldwide.