Inscripciones Abiertas
Official Master's Degree in Data Analysis
Transform data into strategic decisions and lead advanced analytics projects in business and technological environments.
UDIT's Master's Degree in Data Analytics aims to be an advanced Master's Degree that trains professionals capable of converting large volumes of data into actionable knowledge for decision-making. The programme combines the scientific rigour of advanced analytics with the visual creativity, data narrative and technological innovation of the UDIT ecosystem, where design, technology and business converge.
This master's degree deepens professional specialisation, developing skills in data engineering and orchestration, advanced analytics, visualisation, data governance and management of complex analytical projects.
*Degree in the process of verification.
Tres personas en un entorno de oficina analizan datos en una pantalla grande con gráficos y mapas.
The essentials
Key Data
All the essential information you need to know about this Master's Degree.
- CampusTecnología, Innovación y Ciencias Aplicadas
- LanguagesSpanish
- ModalityOn-campus
- CertificationOficial
- Duration9 meses
- Credits60 ECTS
- Starts On01/10/2026
- ScheduleLunes a jueves de 18:30h a 22:00 h
- Seats70
Do you want to know more?
If you want more information you can fill in the following form and we will send you the official brochure with all the information you need.
UDIT STYLE
LEARN TO ANALYSE, EXPLAIN AND DECIDE WITH DATA IN UDIT
What distinguishes this master's degree from other technical proposals is its innovative DNA: at UDIT you will learn to programme and model with leading tools (Python, R, Tableau, Power BI), you will master the art of data visualisation and business storytelling.
Studying this master's degree at UDIT means opting for advanced training oriented towards real impact.
The approach is applied, interdisciplinary and aligned with professional reality, you will be able to lead analytical projects in data-driven organisations.
What is the recommended student profile?
This master's degree is designed for those who want to take a leap in responsibility: to go from executing tasks to designing complete data analysis solutions, with the criteria to choose approaches, measure their performance and sustain conclusions in a professional context.
You are a particularly good fit if you are interested in having a 360-degree vision: well-thought-out questions, the discipline to validate, the patience to debug, and the ability to explain results without simplifying them to the point of rendering them useless.
The entry profile provides direct access from:
- Degree in Data Science (or equivalent).
- Degree in Computer Engineering (or equivalent qualifications).
- Degree in Telecommunications Engineering (or equivalent qualifications).
- Related degrees from previous programmes(Statistics, Mathematics, etc.).
If you come from other disciplines such as business administration, business, marketing, psychology, sociology or communication, this Master's Degree can be of great value to you. You will need to have your application assessed by our academic committee and take some additional training beforehand. Don't worry, the University will provide you with these materials.
What will it bring you?
The master's degree is based on an active and experiential methodology:
- Project Based Learning (PBL): learning through integrative projects.
- Practical and certified workshops with professional tools.
- Collaborative work in multidisciplinary teams.
- Final Capstone Project, where the student develops a complete advanced analytics project applied to a real case.
- Agile data project management: application of Scrum and Kanban, with preparation for professional certifications.
- Innovative approach incorporated into the classroom: MLOps, Generative AI and advanced Data Storytelling practices.
- Flex curriculum (innovation module): space for specialisation or development of creative projects, without altering the official credit structure.
This methodology allows students to acquire key technical, analytical and communicative skills for professional practice.
why UDIT
Only University specialising in Design and Technology
We are the only university specialising in Design and Technology, with a campus in the heart of Madrid full of activities, masterclasses, competitions and events that boost our students' creativity.
Our master's degree allows you to participate in hands-on workshops with state-of-the-art tools, collaborate closely with peers in group projects that simulate real work environments, and receive direct feedback from expert product design professors.
This practical methodology ensures that you acquire not only theoretical knowledge, but also skills that can be applied from day one in your professional career.
85% of the teaching staff is active in the industry, which guarantees a training connected to professional reality.
Master’s Programme Director
Ángel Galán
Ángel Galán is Director of Cloud Data Analytics at BIP Spain and an expert in Data & AI, specialising in driving innovation and digital transformation through advanced analytics and artificial intelligence. He leads strategic cloud data projects and has experience as Chief Data Officer (CDO), combining business vision and technical knowledge in AWS, Azure and Google Cloud environments. His background is focused on designing Big Data, predictive analytics, IoT and machine learning solutions that drive strategic decision making in organisations.
teachers
We have a first class teaching staff.
Professionals with years of experience both in teaching and in companies in the Design, Communication, Advertising and Technology sectors.
Dr. Luis Peña
PhD in Computer Engineering from the Universidad Rey Juan Carlos. Founder of a Technology Startup, awarded by A
WE’RE HERE TO HELP YOU
You might be unsure whether this programme is the right fit for you, or whether another of our degrees might suit you better. Don’t worry — that’s completely normal.
We’re here to help. Book a video call or a campus visit, and we’ll give you clear, no-obligation guidance.
Syllabus
The syllabus of the Master's Degree in Data Analysis is structured in two semesters (60 ECTS), maintaining the official approved structure and updating contents, tools and methodologies.
In addition, the programme incorporates a transversal innovation module (flex curricular), focused on specialisation or creative projects in collaboration with companies, which is articulated through workshops and activities within the subjects without modifying the official distribution of credits.
Documents of Interest
What makes this Master unique
Real interdisciplinarity
It brings together data science, design, visual communication and business strategy.
Practical and professional orientation
Real projects with certified companies and workshops.
Innovative approach
Integrates MLOps, Generative AI and advanced Data Storytelling.
Data project management
It includes agile methodologies (Scrum, Kanban) and related professional certifications.
Flex curricular
Innovation module where students can specialise or develop creative projects.
Capstone Project final
You will develop a complete advanced analytics project applied to a real case.
CONNECTION WITH COMPANIES
BOOSTING YOUR CAREER
A Master's degree is not just about learning: it is about accelerating your career with real experience and industry contacts.
We collaborate with companies to transform and positively impact society through knowledge, creativity and technology.
We are a community of thinkers and doers and we share our vision with companies and institutions through the following areas: Talent & Careers, In-Company Training and Research.
Career opportunities
Organisations demand profiles capable of understanding the problem, working with real data, building reliable analysis and models, and communicating conclusions that drive decisions.
The programme promotes employability through:
- Applied learning on real cases and data sets representative of the professional environment.
- Evidence-based assessment: internships, projects and presentations.
- A Master's Final Project that functions as an integrating project and the centrepiece of the portfolio.
- Development of transversal skills that are highly valued by the market: communication, teamwork, methodological criteria and responsible use of data.
The university complements the academic itinerary with career guidance actions, including professional profile optimisation, interview preparation, networking activities and connection with the business ecosystem.
- Data Analyst
- Data Scientist (Data Scientist)
- Data Engineer
- Specialist in interactive data visualisation
- Artificial intelligence or business intelligence consultant
- Head of advanced analytics or data governance
winners
UDIT Recognised in international rankings
Our University has been awardednationally and internationally with more than 300 awards, including the National Design Award, presented in 2020 by Their Majesties the King and Queen of Spain or theEducation and Training Award, granted by the Community of Madrid in 2025, in the Madrid Open Cities Awards or the highest score in the international QS Ranking in teaching quality and employability.
The largest Technology and Applied Sciences campus in Madrid
Our university campus brings together technological and professional equipment, the same that you will find in leading studios and companies. You will enjoy 21,000 m2 in three buildings with cutting-edge spaces, designed for learning by doing and practising at a professional level.
Admission Process
Just follow these simple steps
Request for information
Fill in the following form, call us on 91 555 25 28 or write to us at orientacion.universitaria@udit.es and solveall your doubts about the qualifications you are most interested in.
Come and visit us
Through in-person and online Open Days or private visits by writing to orientacion.universitaria@udit.es.
Admission process
Admission requires you to meet the corresponding academic profile according to your previous degree and knowledge of the area. In addition, you will have a personal interview with the master's degree management, in which your background, motivation and professional goals will be assessed.
We want to meet you
Once the interview has taken place and you have been informed of your admission to UDIT, make a registration reservation to guarantee your place for the next course. Places are allocated on a first come, first served basis.
Internal Quality Assurance System (IQAS)
Number of places on the Official Master's Degree in Data Analysis: 70
NEWSLETTER
Be part of the creative network that is transforming design, technology and education.
Get news, events, launches and opportunities from the UDIT universe before anyone else. For inquiring minds looking to go one step further.
Frequently Asked Questions
We live in an environment where data are not "an extra": they condition strategic and operational decisions in all types of organisations. This Master's degree was created as an academic response to this reality and is situated at the intersection between data science, artificial intelligence and advanced information visualisation.
It is also based on an applied approach: learning to manage, process, analyse and interpret data to turn it into useful knowledge in real professional contexts.It is aimed at profiles with a background in data and/or engineering who want to specialise in advanced analytics, modelling, visualisation and mass processing technologies. If you are interested in working with technical rigour, but also in translating results into decisions and clear communication, you fit the type of profile for which it has been designed.
The aim is to train versatile professionals who are able to move with ease between the technical, the strategic and the ethical when data is at the centre.Students have direct access to the degree from:
- Degree in Data Science (or equivalent).
- Degree in Computer Engineering (or equivalent qualifications).
- Degree in Telecommunications Engineering (or equivalent qualifications).
- Related degrees from previous programmes.
Check with the admissions department if you have another type of Bachelor's degree to assess your admission.
The application is submitted to the Admissions Department. If applicable, the candidate is called for the corresponding tests and the documentation, together with the results, is submitted for academic review. With this assessment, the applications are ordered and the result is communicated to the interested party.
In the event that demand exceeds supply, prioritisation is carried out with a weighting of the academic record and an Academic Performance Skills Test (focused on transversal skills such as reading comprehension, logical reasoning, analysis, problem solving and decision-making).The syllabus consists of 60 ECTS and is taught in one academic year, organised in two semesters. It includes 48 ECTS of compulsory subjects and 12 ECTS of Master's Thesis. It does not include electives or external internships as part of the programme.
The programme covers key areas such as databases for Big Data environments, analysis and interpretation, statistical modelling and prediction, artificial intelligence, visualisation and advanced visualisation tools, data governance and mass processing.The degree is oriented towards highly demanded profiles in the market linked to data, artificial intelligence and digital transformation. Among the professional opportunities it is aimed at, the following stand out:
- Data Analyst (Data Analyst)
- Data Scientist (Data Scientist)
- Data Engineer
- Artificial intelligence or business intelligence consultant
- Specialist in interactive data visualisation
- Advanced analytics or data governance manager
Recognition of credits for work and professional experience is not foreseen. In the case of credits taken in the degree programmes, recognition is governed by the applicable regulations and requires academic and training coherence with the subjects of the plan, within the limits established by the regulations in force.
If your mother tongue is not Spanish, you must accredit level B2 according to the CEFR (or take a specific test if you do not present accreditation).