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 Course

	Materia	Tipo	ECTS	Idioma
PDF	Fundamentals of Mathematics and Statistics I	FB	12	C, I
PDF	Programming and Databases I	FB	9	C, I
PDF	Data Science I	OB	9	C, I
PDF	Data Mining I	OB	5	C, I
PDF	Data Visualization I	OB	3	C, I
PDF	Economics and Business Management I	FB	16	C, I
PDF	Personal skills I	OB	3	C, I
PDF	Case studies I	OB	3	C, I
	Total		60

2 Course

	Materia	Tipo	ECTS	Idioma
PDF	Fundamentals of Mathematics and Statistics II	FB	12	C, I
PDF	Programming and Databases II	OB	4	C, I
PDF	Big Data and Digital Ecosystem I	OB	6	C, I
PDF	Data Science II	OB	6	C, I
PDF	Data Mining II	OB	5	C, I
PDF	Data Visualization II	OB	3	C, I
PDF	Economics and Business Management II	FB	6	C, I
PDF	Management tools I	FB	6	C, I
PDF	Digital Customer I	FB	6	C, I
PDF	Personal skills II	OB	3	C, I
PDF	Case studies II	OB	3	C, I
	Total		60

3 Course

	Materia	Tipo	ECTS	Idioma
PDF	Big Data and Digital Ecosystem II	OB	8	C, I
PDF	Data Science III	OB	8	C, I
PDF	Data Mining III	OB	9	C, I
PDF	Data Visualization III	OB	3	C, I
PDF	Economics and Business Management III	OB	4	C, I
PDF	Digital Customer II	OB	6	C, I
PDF	Management Tools II	OB	4	C, I
PDF	Personal skills III	OB	3	C, I
PDF	Data in the financial services industry I	OP	3	C, I
PDF	Digital industry I	OP	3	C, I
PDF	Data in the healthcare industry I	OP	3	C, I
PDF	Data management trends I	OP	3	C, I
PDF	Case Studies III	OP	3	C, I
	Total		60

4 Course

	Materia	Tipo	ECTS	Idioma
PDF	Programming and Databases III	OB	3	C, I
PDF	Big data y digital ecosystem III	OB	3	C, I
PDF	Data Mining IV	OB	3	C, I
PDF	Data Visualization IV	OP	3	C, I
PDF	Data in the financial sector II	OP	3	C, I
PDF	Digital industry II	OP	3	C, I
PDF	Data management trends	OP	3	C, I
PDF	Data-driven business models	OP	3	C, I
PDF	Personal skills IV	OB	3	C, I
PDF	Internship	OB	30	C, I
PDF	Final Degree Project	OB	9	C, I
	Total		60

Leyenda

FB: Formación Básica - 67 ECTS
OB: Obligatoria - 146 ECTS
OP: Optativa - 12 ECTS
TFG: Trabajo Fin de Grado

C: Castellano
I: Inglés