Guide in PDF format

Bachelor's Degree Final Project

Code: 103166
Credits: 12

2026/2027

Degree programme	Type	Course
Applied Statistics	TFE	4

Contact lecturer

Name :: David Moriña Soler
Email :: david.morina@uab.cat

Group languages

You can consult this information at the end of the document.

Prerequisites

The rules of permanence establish a minimum of 160 ECTS of the degree passed to be able to enroll in the Final Project.

Objectives

The Bachelor's Thesis (TFG) is a 12-credit (300-hour) course taken in the fourth year. It is the only mandatory course of the year, and all students are required to complete an academically oriented project. The learning activities of the TFG include the development of a written report and the preparation of its public defense. It is not required for the TFG to contain original results. The work will include a literature review and an experimental component in the broadest sense (calculations, fieldwork, data collection, market research, or other activities). The main objective of the Bachelor's Thesis is for students to demonstrate that they have achieved sufficient maturity in all the competencies of the degree program.

Learning outcomes

CM21 (Use computer software for numerical calculation, symbolic calculation, graphic visualisation, optimisation and statistical analysis necessary to apply, complement or exemplify the statistical analyses considered in the Bachelor's Degree final Project (TFG).) Use computer software for numerical calculation, symbolic calculation, graphic visualisation, optimisation and statistical analysis necessary to apply, complement or exemplify the statistical analyses considered in the Bachelor's Degree final Project (TFG).
CM22 (Plan a professional or academic work in fields related to statistics.) Plan a professional or academic work in fields related to statistics.
KM20 (Identify mathematical tools and statistical models or techniques suitable for use when writing the Bachelor's Degree Final Project (TFG).) Identify mathematical tools and statistical models or techniques suitable for use when writing the Bachelor's Degree Final Project (TFG).
SM24 (Select suitable sources and data acquisition and management techniques to carry out the objectives set out in the Bachelor's Degree Final Project (TFG).) Select suitable sources and data acquisition and management techniques to carry out the objectives set out in the Bachelor's Degree Final Project (TFG).
SM25 (Draw relevant conclusions to interpret the results of the TFG in the context of the objectives set out in same.) Draw relevant conclusions to interpret the results of the TFG in the context of the objectives set out in same.
SM26 (Actively demonstrate a high level of concern about the quality of their arguments when making the conclusions of their work public.) Actively demonstrate a high level of concern about the quality of their arguments when making the conclusions of their work public.
SM27 (Effectively use a bibliography and electronic resources to obtain information.) Effectively use a bibliography and electronic resources to obtain information.
SM28 (Communicate their results orally and in writing to an expert audience and an audience related to the area in which the TFG is being developed.) Communicate their results orally and in writing to an expert audience and an audience related to the area in which the TFG is being developed.

Bachelor’s Theses (TFGs) may have a more theoretical focus (on a topic related to statistics that is not covered in any of the degree courses) or a more practical focus (an in-depth study of a specific problem and/or dataset). In the first case, the work must include examples of practical application of the results studied. In the second case, it must include an adequate theoretical foundation for the results used.

The student and the supervisor will define the content of the TFG at the beginning of the course. The project can be chosen from those proposed by the degree teaching staff or can be proposed by the student, as long as it aligns with a line of interest offered by faculty members from the Departments of Mathematics or Sociology. In both cases, the project must be approved by the degree coordinator.

The length of the TFG may vary, but it is recommended to be between fifteen and thirty pages. The thesis may be written in Catalan, Spanish, or English. The first page must include the title, the author and the supervisor, and the place and dates in which the project was carried out. This should be followed by an abstract written in the same language as the main text, along with its English version. Non-original content must be clearly referenced in the bibliography, which should appear at the end of the document.

Learning activities and methodology

Title	Hours	ECTS	Learning outcomes
autonomous learning	59	2.36	CM22, KM20, SM24, SM27
work completion	225	9	CM21, SM25, SM26, SM28
Bibliographic inquiry	15	0.6	CM22

Each student produces three materials, which we refer to as: Project, Dissertation and Presentation. All these materials must be submitted via the Virtual Campus with the approval of the supervisor within the established deadlines, which will be announced in due course.

Project

When the student reaches an agreement with a supervisor —regardless of how the agreement was initiated—, they must prepare an agreed Project proposal, with the supervisor’s approval, including the following, in a total length of one or two pages:

Title of the Dissertation, written in lowercase letters, not in capital letters, with a maximum of 80 characters.

Names of the student and the supervisor.

Objectives and approach of the Dissertation, including bibliography.

This document, in PDF format, must be submitted via the Virtual Campus within the scheduled deadline. Failure to submit the Project on time will result in an automatic change of examination period; if the student is enrolled in the February examination period, they will automatically be moved to the September examination period.

Furthermore, students may request a change to a later examination period by giving prior notice, and only once. If the students concerned are enrolled in the February examination period, the change must be communicated no later than 18 December 2026. If they wish to move from the June to the September examination period, this must be communicated no later than 21 May 2027.

Finally, students enrolled in the September examination period who do not submit the Project within the established deadline will receive a grade of “not submitted”.

Dissertation

The Dissertation is the final document, also referred to as the report, which the student submits at the end of the whole process. The first page must include: the Title, the Author, the Supervisor, the Date and the Place where the work was carried out. This must be followed by an Abstract in the same language as the text and its English version.

The Introduction/Presentation must explain the objectives and approach of the work, the methodology and the sources or materials used, the prior state of the issue, the results obtained and the conclusions reached.

Non-original content must be clearly cited, and the corresponding references must be included in the bibliography at the end of the text.

Presentation

The Presentation is the material that the student will prepare in order to give a 15-minute oral presentation on the Dissertation. It must be submitted via the Virtual Campus a few days after the Dissertation has been submitted.

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text correction or translations. The student must clearly identify which parts have been generated using this technology, specify the tools used and include a critical reflection on how these tools have influenced the process and the final outcome of the activity. Lack of transparency regarding the use of AI in this assessed activity will be considered a breach of academic honesty and may result in a partial or total penalty in the grade for the activity, or more severe sanctions in serious cases.

Any irregularity in an assessment activity —academic fraud, plagiarism or improper use of AI, unless such use is expressly authorised in the course guide— that may lead to a significant variation in the grade will result in that assessment activity being graded as 0. If the course guide states that obtaining a minimum grade in this assessment activity is an essential requirement for passing the course, or if several irregularities occur in the assessment activities of the same course, the final grade for the course will be 0. In addition, disciplinary proceedings may be initiated against any student who commits any of these irregularities.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title	Weight	Hours	ECTS	Learning outcomes
Debate	10%	0.25	0.01	SM26, SM28
Contents	70%	0.5	0.02	CM21, CM22, KM20, SM24, SM25, SM27, SM28
Presentation	20%	0.25	0.01	SM26, SM28

The evaluation of the Bachelor's Thesis (TFG) takes place in two phases. First, the supervisor evaluates the Thesis with a maximum score of 4 points. Secondly, the student gives a public Presentation before a panel composed of two faculty members, who assess both the Thesis and the Presentation. The panel awards a maximum of 3 points for the Thesis and a maximum of 3 points for the Presentation. The final grade for the TFG is the sum of these two scores plus the supervisor's score.

Bibliography

Paul R. Halmos. Com cal escriure en matemàtiques. Butlletí de la Societat Catalana de Matemàtiques. Vol. 21, núm. 1, 2006. Pàg. 53–79.
https://raco.cat/index.php/ButlletiSCM/article/view/221239

Software

The software required for the TFG.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching	Group	Language	Semester	Shift
(TFG) Treball de fi de grau	1	Unknown	Undefined	morning-mixed