Objectives and competences
Presentation
Course curriculum
Course Plans
Check the planning of the different pathways of the degree
Subject | Language | Type | Credits |
---|---|---|---|
Descriptive Statistics | 1st semester | Basic training | 6 |
Introduction to Calculus | 1st semester | Basic training | 6 |
Introduction to Computing | 1st semester | Basic training | 6 |
Introduction to Probability | 1st semester | Basic training | 6 |
Principles of Economics | 1st semester | Basic training | 6 |
Basics of Business Management | 2nd semester | Basic training | 6 |
Introduction to Operations Research | 2nd semester | Compulsory | 6 |
Introduction to Statistical Inference | 2nd semester | Basic training | 6 |
Linear Algebra | 2nd semester | Basic training | 6 |
Programming | 2nd semester | Basic training | 6 |
Subject | Language | Type | Credits |
---|---|---|---|
Multivariable Calculus | 1st semester | Basic training | 6 |
Probability and Stochastic Processes | 1st semester | Compulsory | 6 |
Statistical Software | 1st semester | Compulsory | 6 |
Statistics for Quality Management | 1st semester | Compulsory | 6 |
Survey Design | 1st semester | Compulsory | 6 |
Linear and Integer Programming | 2nd semester | Compulsory | 6 |
Numerical Methods | 2nd semester | Compulsory | 6 |
Public Statistics | 2nd semester | Compulsory | 6 |
Sampling Methods | 2nd semester | Basic training | 6 |
Statistical Inference | 2nd semester | Compulsory | 6 |
Subject | Language | Type | Credits |
---|---|---|---|
Bayesian Methods | 1st semester | Compulsory | 6 |
Experimental Design | 1st semester | Compulsory | 6 |
Files and Databases | 1st semester | Compulsory | 6 |
Linear Models | 1st semester | Compulsory | 6 |
Nonlinear Programming and Flows in Networks | 1st semester | Compulsory | 6 |
Econometric Methods | 2nd semester | Compulsory | 6 |
Multivariate Analysis | 2nd semester | Compulsory | 6 |
Non-Parametric Methods | 1st semester 2nd semester |
Compulsory | 6 |
Queueing Theory and Simulation | 2nd semester | Compulsory | 6 |
Statistics for Biosciences | 2nd semester | Compulsory | 6 |
Subject | Language | Type | Credits |
---|---|---|---|
Generalized Linear Models | 1st semester | Compulsory | 6 |
Time Series Analysis | 1st semester | Compulsory | 6 |
Final Assignment | 1st semester 2nd semester |
Compulsory final project | 18 |
Subject | Language | Type | Credits |
---|---|---|---|
Company Placement I | 1st semester 2nd semester |
Practices | 6 |
Company Placement II | 1st semester 2nd semester |
Practices | 6 |
Demography | 2nd semester | Optional | 6 |
Financial Optimization | 2nd semester | Optional | 6 |
Game Theory and Applications in Economics | 1st semester 2nd semester |
Optional | 6 |
Game Theory and Economic Applications | 1st semester 2nd semester |
Optional | 6 |
Industrial Statistics | 1st semester | Optional | 6 |
Information Visualization | 1st semester | Optional | 6 |
Medical Statistics | 1st semester | Optional | 6 |
Optimization in Engineering | 2nd semester | Optional | 6 |
Statistical Methods for Data Mining | 1st semester | Optional | 6 |
Statistical Methods for Finance and Insurance | 1st semester | Optional | 6 |
Survival Analysis | 2nd semester | Optional | 6 |
Credit recognition and adaptation
Credit recognition and transfer
If you have previously completed official studies, you can request credit recognition and transfer so that they count toward your new academic transcript. Check the following link for more information.
Adaptation from the Diploma in Statistics to the Degree
From May 5 to July 4, the period is open to request adaptation to the degree for students who have not completed the Diploma in Statistics.
Through MónUB you will be able to:
- Use a simulator that shows how your transcript would look.
- Submit the official request through the available application.
Organization and methodology
General information
Teaching is structured by semesters and, in general, courses are organized into face-to-face activities, directed work activities, and autonomous work activities. The face-to-face sessions consist of lectures by the professor and discussions with students about the subject content and the problems arising from its theoretical conception and practical application. Directed activities aim to develop tasks by students, as well as the review of these tasks.
The Teaching Plan for each course is the document that outlines both the content, the teaching and learning methodologies, and the assessment systems. In general, the teaching methodologies used in the degree include: lectures and presentations, conferences, group work, written assignments, information research, case studies, practical exercises, application activities, problem-solving, project development, simulations, and external internships.
Class schedules are published before the start of classes. First- and second-year classes take place at the Faculty of Economics and Business at the University of Barcelona (UB) in the mornings. Third- and fourth-year classes are held at the Faculty of Mathematics and Statistics at the Polytechnic University of Catalonia (UPC) in the afternoons.
Evaluation
Exams for the academic year 2024-25
Below you can access the exam calendar for the whole course sorted by course/semester or grouped by exam date.
The dates and place of review of the exam are appropriately indicated in theVirtual Campus
Evaluation system
The ordinary system of evaluation of the subjects is the continuous evaluation. This evaluative route consists of a series of activities and / or evaluable works throughout the semester, which can be concluded in a final synthesis test. This set of evaluable activities must allow to accredit the achievement of the objectives of the subject included in the teaching plan, both in terms of the competences to be acquired and the skills to be developed, as well as in terms of the theoretical or conceptual knowledge of the subject that the student must achieve and that must allow him to solve the activities applied in the practical aspect.The student also has the possibility of taking the single assessment under the conditions set by the regulations of the University of Barcelona. The subjects have a single assessment call. But there is the possibility of re-evaluating a subject when it has not been passed initially (either through the continuous evaluation or through the single evaluation). The calendar of final tests (evaluation and re-evaluation) is approved by the Academic Council and published on the teaching website at the beginning of the academic year.
The syllabus of each subject contains all the information related to the evaluation system of each of the modalities.
Regulations
See the regulations governing the assessment and qualification of learning at the Faculty of Economics and Business at: https://web.ub.edu/en/web/faculty-business-economics/regulation-regulations
Calendar
Schedule
General information
Course start
- New Access Students: 9 September.
- Other students: 16 September.
- In the following link you can check the schedules for the course 2024-25.
Schedules per subject s 2024-2025
In the following link you can consult, for each subject, the schedules of the different groups, the teacher assigned to each of them, the teaching language, the classroom where the classes will take place as well as the dates of the different exam calls.
- Subjects: groups, teachers, classrooms and language.
You will also have access to the course plan and itsVirtual Campus.
Support Tools
Time generator CHRONOS.
From the following app you will be able to generate your own schedules and upload them to the personal agenda of your devices. This application allows you to make a simulation of your schedule, in no case does it imply an enrollment or reservation of place.
Final work
The curriculum of the Bachelor's Degree in Statistics, offered by the Faculty of Economics and Business at the University of Barcelona and the Faculty of Mathematics and Statistics at the Polytechnic University of Catalonia, stipulates that in order to obtain the degree, students must complete a Final Degree Project (FDP) of 18 ECTS credits.
Through the completion of the FDP, it is assessed whether the student has integrated the knowledge acquired during the degree and whether they have achieved the general and specific competencies required for professional development. Additionally, the student will need to apply a significant part of the training acquired during the degree, promoting its multidisciplinary character and a methodological approach to solving complex problems, while emphasizing organized work and the quality of the generated documents.
Mobility
The Faculty of Economics and Business has an International Promotion Area that is responsible for managing the Faculty's international mobility programs, seeking new agreements, and actively contributing to the internationalization of the institution, especially for its students.
In this office, they will guide and assist you with international mobility.
Scholarships and grants
You can consult the scholarship and aid page for undergraduate students to find information on the requirements, procedures, and deadlines for applying for a scholarship or financial aid.
There are scholarships and aids available at any stage of university and of all kinds:
- For research,
- For participating in exchange programs,
- For accessing summer courses,
- For further studies or research abroad,
- For working as a lector,
- For internships in other countries,
- Etc.
All this information is accessible through the scholarship search engine on the student portal.
You can also consult the scholarship calls linked to the Faculty through the electronic office.