Checking date: 21/05/2025 10:49:56


Course: 2025/2026

Bachelor Thesis
(13725)
Bachelor in data and business analytics (Plan: 560 - Estudio: 203)


Coordinating teacher: GRANE CHAVEZ, AUREA

Department assigned to the subject: Statistics Department

Type: Bachelor Thesis
ECTS Credits: 6.0 ECTS

Course:
Semester:




Requirements (Subjects that are assumed to be known)
Only those students who enroll in all the pending courses to finish their studies can register for the Bachelor's Thesis.
Objectives
Integration of multidisciplinary knowledge acquired along all degree studies. 1. Capacity for analysis and synthesis. 2. Modelling and problem solving. 3. Oral and written communication.
Learning Outcomes
K2: Know basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile. K5: Mathematically model and Know the mathematical foundations that allow solving problems using stochastic models and Operations Research techniques C1: Develop and master interpersonal skills on initiative, responsibility, conflict resolution and negotiation, which are essential in the professional environment. C4: Ability to develop and validate statistical models that help to address and solve problems relevant to today's society. C5: Ability to analyze, formulate and defend individually a problem and its solution in the disciplinary field of Statistics and Data Science, applying the knowledge, skills, tools and strategies acquired or developed in the degree. C6: Ability to interpret the results of quantitative analysis, prepare clear reports and communicate conclusions effectively, using advanced data analysis tools. S1: To plan and organize team work making the right decisions based on available information and gathering data in digital environments. S2: To use information interpreting relevant data avoiding plagiarism, and in accordance with the academic and professional conventions of the area of study, being able to assess the reliability and quality of such information. S3: e able to dedicate themselves to autonomous long-life learning, that enables them to adapt to new situations S6: Communicate the results, the conclusions of the models and the proposed solutions in a way that is intelligible to the rest of the company, so that they are accepted and implemented by the decision-makers
Description of contents: programme
The Bachelor Thesis is the realization of a work in which the student applies the techniques and skills acquired during the Bachelor Degree either through a specific problem proposed by the supervisor of the Bachelor Thesis or through a problem/project proposed by a Company with which an agreement is signed in advance. Also, the adequacy of the Company's project to the objectives of the Degree should be evaluated. There are two Bachelor's Thesis modalities between which the students can choose. In either case, a supervisor will be assigned from whom students will receive advice. a) GENERAL Bachelor Thesis: They are small groups of students (from 10 to 15) with the same specialized supervisor in the area of Statistics and Data Science who will guide students in the choice and development of work. Each student will carry out an individual work, although works within the same group may deal with a common theme. There will be group orientation and supervision activities for the common points, and individual supervision for the specific aspects of each thesis. The number of groups offered and their themes will be announced at an informative meeting, before the enrolment period (November). These groups are administratively organized analogously to any other undergraduate course, and managed by each supervisor. The supervisor will provide materials (bbdd, software, texts, etc.) to carry out the thesis. It is the preferred modality in the School of Law and Social Sciences. b) SPECIFIC Bachelor Thesis: It is a work on a specific subject to be carried out by a single student under the supervision of a UC3M professor. In order to carry out a specific Bachelor Thesis, the students who wish, should contact to a professor to act as supervisor beforehand. In this case, they must present the specific Bachelor Thesis request at the Student Office or Virtual Secreteriat, conveniently signed by the supervisor who has accepted the Bachelor Thesis supervision. The request will be forwarded to the Vice-Dean for consideration and approval. The specific modality is intended for research-oriented thesis, highly specialized topics, thesis with supervisors from companies or institutions outside UC3M. Each student with a specific bachelor thesis will be enrolled in a single group in Sigma that will be managed by their supervisor.
Learning activities and methodology
Individual work (6 ECTS ) . The Bachelor Thesis consists of at least two group tutoring sessions of one hour and a half each. In addition, each student may consult with the supervisor any doubts that will arise in carrying out its work through individual tutoring sessions.
Assessment System
The evaluation will be done in two phases: - The tutor will make a first evaluation that will have a weight of 30%. - A committee of two (or three) evaluators will assess the thesis and its oral defense by the student with a grade that will have a weight of 70%. The University uses the Turnitin Feedback Studio program for the delivery of student work. This program compares the originality of the work delivered by each student with millions of electronic resources and detects those parts of the text that are copied and pasted. If the student has correctly made the appointment and the bibliographic reference of the documents he/she uses as a source, Turnitin will not mark it as plagiarism. The tutor will analyze the percentage of coincidences detected by the plagiarism control systems applied. If the existence of plagiarism is concluded, it will be stated in the report and it will be brought to the attention of the coordinator of the School and/or Vice-Dean of the degree, who will be able to determine the grade of zero-fail in the call, ending at that moment the process of evaluation. In addition, the appropriate disciplinary measures may be implemented (vid.art. 20.3 Regulations for the organization of the subject Final Bachelor Degree Thesis of the School of Law and Social Sciences of the Carlos III University of Madrid, September 25th, 2020) .
Additional information

The course syllabus may change due academic events or other reasons.


More information: https://www.uc3m.es/grado/estadistica-empresa