Bachelor in Data and Business Analytics (Plan modified for Statistics and Business)
- Grados
- Bachelor's Degrees
- Bachelor in Data and Business Analytics (Plan modified for Statistics and Business)

- Duration
- 4 years (240 ECTS credits)
- Centre
- Language
- Bilingual
- Comments
-
Vice Dean for the Bachelor: Aurea Grané Chavez
Presentation
UC3M is the first Spanish university to offer a Bachelor’s Degree in Data and Business Analytics, a cutting edge and competitive degree leading to very attractive professional opportunities for its graduates. The goal of this program is to form professionals with quantitative skills who can transform data into useful information for the decisions of businesses and institutions in sectors such as finance, banking, insurance and business consulting.
To this end, we have created a degree in statistics with a business orientation and an important applied nature that fosters the learning of computer science while placing special importance on mathematical education. Likewise, it emphasizes teamwork, aspects of computation and information processing with the use of the most advanced software.
Thanks to professional internship programs with companies and institutions in the industry, students have the opportunity to carry out internships that will provide them with greater knowledge of the professional world.
Employability and profesional internships
UC3M has agreements with more than 5,000 companies and institutions to provide internships and access to employment opportunities.
94.8% of degree graduates access the labour market during the first year after graduation.
XXIV Estudio de Inserción Profesional (Professional Placement Study).
International Excellence
Program
- Current Program
- Plan modified in 2025. In 2025/26 will be offered 1st year
- Language requirement: a B2 level of English language must be accredited before finishing the studies. More information.
Year 1 - Semester 1
General subjects Subjects ECTS TYPE Language Linear Algebra 6 BC Calculus I 6 BC Digital skills for data processing. Advanced level 3 C Introduction to Business 3 C Programming I 6 C Data analysis and visualization 6 BC Year 1 - Semester 2
General subjects Subjects ECTS TYPE Language Calculus I 6 BC Accounting 6 C Operational Research 6 BC Uncertainty Modelling 6 BC Programming II 6 C Year 2 - Semester 1
General subjects Subjects ECTS TYPE Language Advanced Mathematics 6 BC Digital skills for information use 3 C Effective language strategies 3 C Basic principles of databases 6 C Probability 6 BC Statistical inference I 6 BC Year 2 - Semester 2
General subjects Subjects ECTS TYPE Language Multivariate Analysis 6 C Management Accounting 3 C Statistical inference II 6 BC Introduction to Finance 6 C Regression Methods 6 C Humanities I 3 C Year 3 - Semester 1
General subjects Subjects ECTS TYPE Language Marketing 6 C Advanced regresion methods 6 C Operations and supply chain 6 C Advanced Optimization 6 C Stochastic Processes 6 C Year 3 - Semester 2
General subjects Subjects ECTS TYPE Language Statistical learning 6 C Bayesian Modeling 6 C Time Series 6 C Resampling Techniques 6 C Soft Skills 3 C Humanities II 3 C Year 4 - Semester 1
General subjects Subjects ECTS TYPE Language Digital Marketing 6 C Data preprocessing and report generation 6 C Electives: Recommended 18 ECTS credits 18 E No data Electives to choose: total 24 ECTS credits Subjects ECTS TYPE Language Functional data analysis 6 E Machine learning in data mining 6 E Non-parametric statistics 6 E Digital Business 6 E Advanced stochastic processes 6 E Regression in high demension 6 E Year 4 - Semester 2
General subjects Subjects ECTS TYPE Language Entrepeneurship and small business management 6 C External academic internships 12 C Bachelor Thesis 6 BT Electives: Recommended 6 ECTS credits 6 E No data Electives to choose: total 24 ECTS credits Subjects ECTS TYPE Language Digital Finance 6 E Technology Management 6 E Graphs and social networks 6 E Analytical methods for business forecasting 6 E Interference methods in Bayesian machine learning 6 E Methods for official statistics 6 E Geospatial modeling 6 E Principles of Economics 6 E Data protection and cybersecurity 6 E TYPES OF SUBJECTS
BC: Basic Core
C: Compulsory
E: Electives
BT: Bachelor Thesis - Previous Program
Study plan for students who started in the academic year 2024/25 or earlier.
- In 2025/26 only 2nd, 3rd and 4th year will be offered
- Language requirement: a B2 level of English language must be accredited before finishing the studies. More information.
Year 1 - Semester 1
General subjects Subjects ECTS TYPE Language Introduction to business administration 6 BC Information Skills 3 BC Writing and communication skills 3 BC Probability I 6 BC Calculus I 6 BC Linear Algebra 6 C Year 1 - Semester 2
General subjects Subjects ECTS TYPE Language Principles of Economics 6 BC Probability II 6 BC Calculus II 6 C Programming I 6 C Skills: Humanities 6 BC Year 2 - Semester 1
General subjects Subjects ECTS TYPE Language Statistical inference methods I 6 BC Stochastic Processes 6 C Accounting 6 BC Advanced Mathematics 6 C Programming II 6 C Year 2 - Semester 2
General subjects Subjects ECTS TYPE Language Statistical inference methods II 6 C Marketing 6 C Operational Research 6 C Operations Management 6 C Advanced knowledge of spreadsheets 3 BC Advanced professional skills II 3 BC Year 3 - Semester 1
General subjects Subjects ECTS TYPE Language Basic principles of databases 6 C Regression Methods 6 C Quality Control 6 C Survey Sampling 6 C Financial Economics 6 C Year 3 - Semester 2
General subjects Subjects ECTS TYPE Language Multivariate Analysis 6 C Markets Research 6 C Advanced regression methods 6 C Financial Management 6 C Digital Marketing 6 C Year 4 - Semester 1
General subjects Subjects ECTS TYPE Language Econometric Methods 6 C Bayesian Methods 6 C Electives: Recommended 18 credits No data No data No data Electives to choose: total 24 ECTS credits Subjects ECTS TYPE Language Machine learning in data mining 6 E Resambling Techniques 6 E Advanced Stochastic Processes 6 E Optimization Techniques 6 E Statistical Learning 6 E Numerical methods for data analysis 6 E Non-parametric estimation 6 E Statistical methods in data mining 6 E Year 4 - Semester 2
General subjects Subjects ECTS TYPE Language Practicum 12 C Bachelor Thesis 6 BT Entrepreneurship and small business management 6 C Electives: Recommended 6 credits No data No data No data Electives to choose: total 24 ECTS credits Subjects ECTS TYPE Language Business finance law 6 E Statistical methods for finance and insurance 6 E Categorial data analysis 6 E Prediction Techniques 6 E Methods for quality control 6 E Asset valuation and selection 6 E Big Data for company 6 E Graphs and Social Media 6 E Any of elective courses could not be offered in a specific year. You can check it in schedules page.
TYPES OF SUBJECTS
BC: Basic Core
C: Compulsory
E: Electives
BT: Bachelor Thesis
Mobility
- Exchange programs
Exchange programs
The Erasmus programme permits UC3M first degree and post graduate students to spend one or several terms at one of the European universities with which UC3M has special agreements or take up an Erasmus Placement, that is a work placement or internship at an EU company. These exchanges are funded with Erasmus Grants which are provided by the EU and the Spanish Ministry of Education.
The non-european mobility program enables UC3M degree students to study one or several terms in one of the international universities with which the university has special agreements. It also has funding from the Banco Santander and the UC3M.
These places are offered in a public competition and are awarded to students with the best academic record and who have passed the language threshold (English, French, German etc..) requested by the university of destination.
- European mobility
European mobility
- Non european mobility
Non european mobility
Profile and career opportunities
- Entry profile
Entry profile
The majority of students who are admitted to undergraduate studies at Spanish universities come from the Spanish Baccalaureate. Therefore, most of the students who are expected to be admitted to the Bachelor's Degree correspond to this pathway, without prejudice to the fact that students may be admitted through other pathways. Specifically, for the main access route to the University, it seems highly recommendable that the student entering this Degree has taken the Bachelor's Degree in Humanities and Social Sciences or in Science and Technology, (or, if applicable, equivalent Baccalaureate or similar modalities in terms of the subjects taken when the student comes from other non-Spanish educational systems).
Therefore, the recommended entry profile is centered on the aforementioned Baccalaureate, where specific training is obtained in these fields, which develops the corresponding knowledge and competencies and better prepares students for access to these studies. In this Baccalaureate, according to Spanish regulations, students must take core subjects such as:
Mathematics, Mathematics applied to the Social Sciences, Enterprise and Business Model Design, History of Spain, History of Philosophy, without prejudice to other subjects indirectly related to the studies but important for the integral formation of the student. These are subjects that, to a large extent, are clearly linked to the curriculum of the Bachelor's Degree, due to the basis they provide to the student interested in accessing it.
Along with students of the Baccalaureate, the other main group of access to the Degrees is that of Vocational Training students. There is no longer a preference for certain training cycles in the access to the degrees according to the branch to which they are attached. Therefore, any student coming from higher level training cycles will be able to access.
- Graduate profile
Graduate profile
Graduates of this degree must have multidisciplinary training, with a good mathematical and computational foundation, which allows them to collect, manage and analyze data to solve the current challenges faced by companies and institutions.
This profile will enable them to join professional activities with a high quantitative content within business management or finance in companies and organizations, such as tasks related to actuarial sciences, insurance management, banking, risk assessment, stock market analysis, investment portfolio management, operations management, financial analysis, market research, optimal pricing policies, etc.
Additionally, their preparation will be very suitable to carry out all types of activities in the area of advice and consulting. The combination of both business and technical training also equips graduates for management and project management tasks within the previous areas.
The tradition of caring for technical training in Statistics at Carlos III University of Madrid, and the quality of their teaching in areas such as Business Administration and Management, guarantees that graduates are perfectly qualified to continue their training either seeking greater professional qualification in fields with strongly quantitative components such as Actuarial and Financial Sciences, or to carry out teaching and research activities in the area of Statistics and Data Science as well as in those common areas of Statistics and Business Administration.
Finally, it is important to note that graduates receive training in communication skills, languages and humanities that should contribute to improving their personal communication skills, knowledge transmission and work in national and international teams, increasing their value and contribution in their professional careeres.
Learning outcomes of the Bachelor’s Degree in Data and Business Analytics
1. Knowledge of Titles
K1 To know the principles and values of democracy and sustainable development, in particular, respect for human rights and fundamental rights, gender equality and non-discrimination, the principles of universal accessibility and climate change.
K2 To know basic humanistic contents, oral and written expression, following ethical principles and completing a multidisciplinary training profile.
K3 Understand the functioning of the company's activity, and know how to identify areas for improvement through the use of Statistics, Data Science and Operations Research.
K4 Know the models and methods of statistical analysis for both static and dynamic data.
K5 Know the mathematical foundations that allow solving problems using stochastic models and Operations Research techniques.
K6 Demonstrate basic programming skills in order to use and develop statistical packages.
K7 Know the methods and tools to design and manage relational and non-relational databases
K8 To know the basic structure, characteristics and functions of a financial system and to understand the role of the main financial intermediaries and existing markets as well as the functioning of international financial capital markets.
K9 Know the existing models in cost management and apply them to any production process and the main instruments of accounting management for decision making, with the aim of obtaining an integrated vision of the operational, organizational and behavioral contexts in which accounting information systems are used for senior management.
K10 To know the fundamental elements of the organizational structure and the factors that influence the design of organizations, understanding and analyzing how the objectives of the organization affect the results, and the definition and planning of the strategies that will guarantee the achievement of these objectives.
K11 Know the methodology that allows to statistically describe a set of data from numerical measures and graphs, both univariate and multivariate, highlighting possible relationships between variables of interest.
K12 Know how to identify or be able to create the statistical or probabilistic model appropriate to the specific problem arising in each business activity (finance, marketing, production planning and control, etc.).
K13 Know Understand the concepts necessary for the development of market research and learn, as well as the main tools to analyze the results of market research
2. Skills of Titles
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 Be able to dedicate themselves to autonomous long-life learning, that enables them to adapt to new situations.
S4 Plan integrated offline and online strategies, through the use of social media communication, display advertising, affiliation marketing, email, remarketing, gamification, Big data.
S5 Manipulate computationally and analytically the established models, taking advantage of the power of statistical methods, optimization, etc., and perform the analysis of the results obtained.
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
S7 Describe, synthesize and graphically represent the information contained in a data set.
S8 Observe the security and protection of information in the use of technological tools in the business environment, based on current legislation.
S9 Use the tools provided by information and communication technology to identify opportunities for the creation of new businesses, particularly technology-based businesses.
S10 Management of computer tools to model financial escenarios, quantify risks, make projections and value assets and derivatives.
S11 Management of computer tools for the development of market research and analysis of results.
S12 Apply knowledge in solving mathematical problems of an economic, financial-accounting nature.
3. Competences of Titles
C1 Develop and master interpersonal skills on initiative, responsibility, conflict resolution and negotiation, which are essential in the professional environment
C2 Ability to efficiently manage the information contained in a company's databases for statistical use, as well as to know how to design the process of acquiring new information (data) useful for the company.
C3 Ability to use financial tools to solve problems such as estimating risk, calculating the cost of capital, valuing assets and/or derivatives, or estimating the movement of interest and/or exchange rates.
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.
C7 Ability to access, analyze and classify large volumes of data of a highly heterogeneous nature (Big Data), as well as to manage and design advanced data analysis and AI tools in social and business applications.
- External internships
External internships
This is a selection where students of this degree can do their internships:
- NTT DATA SPAIN, S.L.U.
- BANCO DE ESPAÑA
- SCOR SUCURSAL EN ESPAÑA
- ORANGE ESPANGNE S.A.U.
- GRUPO GENERALI ESPAÑA, A.I.E.
- MAPFRE, S.A.
- EL CORTE INGLES, S.A.
- CETELEM GESTION, A.I.E.
- PRICEWATERHOUSECOOPERS AUDITORES, S.L
- BANCO BILBAO VIZCAYA ARGENTARIA, S.A.
- LÍNEA DIRECTA ASEGURADORA, S.A. CÍA. DE SEGUROS Y REASEGUROS
- OMNICOM MEDIA GROUP, S.L.
- HAVAS MEDIA GROUP SPAIN S.A.U
- COMPAÑÍA DE DISTRIBUCIÓN INTEGRAL LOGISTA, S.A.U.
- SOCIEDAD ESTATAL DE CORREOS Y TELEGRAFOS, S.A., S.M.E
- INSTITUTO NACIONAL DE ESTADÍSTICA
- GRUPO CATALANA OCCIDENTE, S.A.
- REDSYS SERVICIOS DE PROCESAMIENTO, S.L.
- AXA SEGUROS GENERALES, S.A. DE SEGUROS Y REASEGUROS
- LIBERTY SEGUROS, COMPAÑÍA DE SEGUROS Y REASEGUROS, S.A.
- INTELIENS PARTNERS, S.A.
- EY TRANSFORMA SERVICIOS DE CONSULTORÍA, S.L
- AIR LIQUIDE HEALTHCARE ESPAÑA, S.L
- TECNILÓGICA ECOSISTEMAS, S.A.U.
- IBERIA L.A.E, S.A. OPERADORA
- LABORATORIOS FARMACEUTICOS ROVI, S.A.
- SHELL ESPAÑA, S.A.
- REPSOL, S.A.
- NATURGY IBERIA SA
- GAS NATURAL COMERCIALIZADORA S.A.
- Career opportunities
Career opportunities
1. Business. Professionals trained to assume strategic roles in areas where data is essential for decision making
- Director or analyst in key areas of the company, such as customer intelligence, human resources or account auditing.
- Responsible for data-based products and projects, managing analytical tools to optimize business processes.
- Business data analyst, specialized in interpreting information to generate strategic value.
- Operations researcher, focused on optimizing organizational systems and processes.
2. Consulting and Advice. Specialists who lead digital transformation and the implementation of data-driven strategies.
- Strategic or digitalization consultant, supporting companies in their transition to a data-based model.
- Consultant in data analytics and data management, designing personalized solutions.
- Advisor on data analytics projects or entrepreneur in digital environments, developing new business models based on data.
3. Economy and Finance. Professionals who apply data analysis to optimize financial and economic decisions.
- Expert in actuarial risks and insurance manager, evaluating risks and designing efficient policies.
- Financial or stock market analyst, specialized in portfolio management, risk assessment and pricing policies.
- Specialist in market research and competitive analysis, providing insights for economic strategies.
4. Industry and Services. Experts in optimizing resources and processes in industrial and logistics environments.
- Specialist in process and product improvement, applying analysis techniques to increase efficiency.
- Specialists in logistics and inventory manager, responsible for planning and optimizing resources.
- Energy systems analyst, designing sustainable solutions.
5. Life Sciences. Key roles at the intersection of data and biosciences.
- Analyst in healthcare, public health and pharmaceutical industry, using data for clinical trials and health policies.
- Bioinformatics technician and specialist in environment or animal health, developing data-based solutions for biological and ecological problems.
- Researcher in agriculture and life sciences, optimizing resources in key sectors.
6. Public Administrations. Professionals who use analytical techniques to optimize public services and policies.
- Specialist in statistics institutes, carrying out demographic projections and analysis of social trends.
- Labor market analyst and allocation of public resources, improving the efficiency of government policies.
7. Teaching and Research. Trainers and academics who contribute to the development of knowledge and training in data analysis.
- Teacher in secondary education and continuing education.
- Research technician in statistics and data analysis.
Study in english
This degree is offered in bilingual mode, which means that some subjects are taught in Spanish and others in English. You can consult the programme for the subjects taught in each language.
Please note that:
- In groups taught in English, all work (classes, exercises, practicals, exams, etc.) will be done in English.
- During the first year, a B2 level of English must be accredited by taking a test, providing one of the official certificates accepted, or in the manner determined by the university.
- If at least 50% of the credits enrolled at UC3M are taken and passed in English, the Diploma Supplement will mention that bilingual studies have been completed.
Schedules
Quality
Facts about this bachelor's degree
Year of implementation: 2008
Places offered:
- Getafe Campus: 80
Official Code: 2500027
Bachelor's Degree Quality indicators
Link to publication in Official universities, centres and degrees registry )
Evaluation and monitoring
Verification Report of Bachelor’s Degree in Data and Business Analytics
Report of modifications and accreditations of the Bachelor’s Degree in Data and Business Analytics
System of Internal Quality Assurance
Departments involved in teaching
In the Bachelor's Degree in Data and Business Analytics teach courses the following University departments: