Study programme

CURRENT TRAINING PROGRAMME

The subjects of the Bachelor's Degree in Business Data Analytics have been specifically tailored to this degree, adding those aspects necessary to train future professionals in the field of data science and artificial intelligence in order to respond coherently to real business needs.

Subjects in the degree

Below is a summary of the degree subjects:

Analytical skills

MATHEMATICS AND STATISTICS

You will be able to understand the mathematical and statistical concepts behind artificial intelligence

DATA MANAGEMENT AND GOVERNANCE

Strategic data management and good data governance are key to the correct implementation of artificial intelligence in organisations.

MATHEMATICAL MODELLING

You will learn how to create models to extract value from data. You will be introduced to concepts such as machine learning, deep learning, etc.

DATA VISUALIZATION

You will learn how to display the obtained results using effective visualisation techniques. You will also learn how to apply the key tools used in business intelligence.

Tech skills

PROGRAMMING

You will learn to implement the most widely used programming languages in data science (R, Python, etc.)

DATA BASES

You will learn about different data storage platforms and both relational and non-relational databases, among others.

BIG DATA TECHNOLOGIES

You will learn about the main platforms for analysing large volumes of data, both on-premise and in the cloud (AWS).

Domain skills

ECONOMICS

You will learn the basics of economics (macro and microeconomics) in order to understand the economy from a data-driven perspective.

MARKETING

You will learn the basics of marketing and how to combine data analysis with marketing strategies.

FINANCE

You will gain different perspectives on a company's financial data, providing information to facilitate strategic decision making and actions that will improve the overall performance of the company.

INDUSTRY

You will learn the keys to Industry 4.0 and why data is so crucial for it.

HEALTH

You will acquire basic knowledge regarding this area and how data analysis is becoming a trend in this field.

ETHICS AND LAW

You will be aware of the applicable legislation in the field of artificial intelligence, as well as the ethical aspects to be considered in its application.

Soft skills

PROJECT MANAGEMENT

You will be taught about the most widely used methodologies in companies for project management (Scrum, Kanban, etc.).

COMMUNICATION

You will be able to effectively express yourself orally and in writing.

PERSONAL SKILLS

You will develop the soft skills needed in any business environment in a practical way.

See all subjects

OVERCOMING CHALLENGES

Throughout the degree, through challenge based learning, you will have to solve 12 real problems posed by organisations and institutions from different sectors. To this end, you will work in a team with your classmates and will be tutored by a teacher who will act as project manager. In this way, you will be able to apply the knowledge acquired in the subjects by developing creative and innovative solutions that meet the needs of different organisations.

At the end of the degree, you will have compiled a portfolio of projects that will clearly show the skills and competences acquired during the course.

The learning methodology

The subjects of the curriculum for the Business Data Analytics degree´s program:

1^er Año

	Materia	Tipo	ECTS	Idioma
PDF	Fundamentos de estadística y matemáticas para el análisis de datos I	FB	12	C, I
PDF	Programación para el análisis de datos I	FB	6	C, I
PDF	Fundamentos de bases de datos I	OB	3	C, I
PDF	Métodos cuantitativos para el análisis de datos I	OB	9	C, I
PDF	Gestión y gobierno del dato I	FB	6	C, I
PDF	Visualización de datos I	OB	3	C, I
PDF	Gestión de empresas I	FB	15	C, I
PDF	Habilidades personales y profesionales I	OB	3	C, I
PDF	Casos prácticos I	OB	3	C, I
	Total		60

2º Año

	Materia	Tipo	ECTS	Idioma
PDF	Fundamentos de estadística y matemáticas para el análisis de datos II	FB	12	C, I
PDF	Programación para el análisis de datos II	OB	6	C, I
PDF	Fundamentos de bases de datos II	OB	3	C, I
PDF	Tecnologías para el análisis de datos I	OB	3	C, I
PDF	Métodos cuantitativos para el análisis de datos II	OB	6	C, I
PDF	Análisis de series temporales I	OB	3	C, I
PDF	Técnicas de procesamiento de lenguaje natural	OB	3	C, I
PDF	Gestión y gobierno del dato II	OB	3	C, I
PDF	Visualización de datos II	OB	3	C, I
PDF	Gestión de empresas II	FB	12	C, I
PDF	Habilidades personales y profesionales II	OB	3	C, I
PDF	Casos prácticos II	OB	3	C, I
	Total		60

3^er Año

	Materia	Tipo	ECTS	Idioma
PDF	Tecnologías para el análisis de datos II	OB	9	C, I
PDF	Análisis de series temporales II	OB	3	C, I
PDF	Optimización	OB	3	C, I
PDF	Inteligencia artificial I	OB	6	C, I
PDF	Gestión y gobierno del dato III	OB	6	C, I
PDF	Visualización de datos III	OB	3	C, I
PDF	Analítica de datos aplicada a las finanzas I	OB	6	C, I
PDF	Tendencias en la gestión de los datos I	OB	6	C, I
PDF	Analítica de datos aplicada al marketing I	OB	6	C, I
PDF	Habilidades personales y profesionales III	OB	3	C, I
PDF	Casos prácticos III	OB	3	C, I
PDF	Optativas	OP	6	C, I
	Total		60

4º Año

	Materia	Tipo	ECTS	Idioma
PDF	Programación para el análisis de datos III	OB	3	C, I
PDF	Inteligencia artificial II	OB	6	C, I
PDF	Gestión y gobierno del dato IV	OB	3	C, I
PDF	Visualización de datos IV	OB	3	C, I
PDF	Tendencias en la gestión de los datos II	OB	3	C, I
PDF	Optativas	OP	12	C, I
PDF	Experiencia práctica II	P	21	C, I
PDF	Trabajo Fin de Grado	TFG	9	C, I
	Total		60

Leyenda

FB: Formación Básica
OB: Obligatoria
OP: Optativa
P: Experiencia Práctica
TFG: Trabajo Fin de Grado

C: Castellano
I: Inglés

Plan de Estudio anterior al curso 2025-2026