Master in Business Intelligence & Data Analytics
- ONLINE
- 60 ECTS
- 8500€
- OPEN CALL
- 12 MONTHS
- ENGLISH
The Master in Business Intelligence & Data Analytics provides the foundations for effectively extracting and evaluating the data needed for decision-making in organisations. The programme offers a unique and rigorous approach that enables students to distinguish themselves in the field of business intelligence, developing critical skills in the area.
All students who successfully complete the Master, optionally, can take the bootcamp in Advanced Generative AI for Data Analytics. key formation for the area of operations and analytics.
Our Master in Business Intelligence & Data Analytics is also available in Spanish:
Find out more
Master in Business Intelligence & Data Analytics
Universitat de Barcelona
Get a double degree from our academic partner, the reference university in Catalonia and Spain with more than 560 years of history behind it.
QS Stars Rating System
We are the first 100% online Business School in the world to receive the QS Stars rating, obtaining the highest distinction, five QS Stars, in the Online Learning category.
Ranking Eduniversal
The Master in Business Intelligence and Data Analytics in the TOP 2 in Spanish in the Business Intelligence and Strategy category of Eduniversal's 2023 Ranking.
Objectives
OBJECTIVE 1
BI and BA TOOLS
Know and differentiate between the different existing tools for data analysis, so that you are able to select the most suitable one according to the existing needs of a given company.
OBJECTIVE 2
PRACTICAL VISION
Acquire a practical vision of data analysis through the development of practical cases and the transversal use of technological tools throughout the programme.
OBJECTIVE 3
STRATEGIC VISION
Gain a strategic vision of the entire process of obtaining, processing and analysing data and making decisions based on the results obtained.
OBJECTIVE 4
PROJECT MANAGEMENT
Identify the key phases of the process linked to project management to apply it within the area of Business Intelligence, favouring time management, as well as improving the use of data.
Master's in Business Intelligence and Data Analytics Syllabus
Our programme is structured in 3 blocks and culminates with the Master's Thesis. In addition, during the programme there will be three voluntary bootcamps and different additional activities.
Block 1. Introduction to Data
Block 2. Advanced Business Intelligence
Block 3. Specialization
Final Master’s Thesis
Bootcamp and additional activities
1. Introduction to Data
This module enables students to visualize all the elements of a Business Intelligence (BI) architecture within an organization to help them approach and benefit from the subsequent modules of the program.
Topics:
- Aspects related to Data Warehouses (DWH) as a core component of BI architecture.
- The Extraction, Transformation, and Load (ETL & ELT) processes.
- Understanding multidimensional and relational data models.
Professor: Shobana Sridaran, Principal Technical Architech Data & IA Salesforce.
VIEW LINKEDIN
Digital strategy and planning are the key drivers of business success and growth in the 21st century. In this module, students will develop the strategic vision required to add value to organizations through data.
Topics:
- Digital transformation within a strategic vision.
- Key elements of a strategic plan.
- The relationship between data and corporate strategy.
Professor: Diana Folch, Marketing Manager at Indra Avitech
VIEW LINKEDIN
In this module, students will be introduced to the fascinating world of data analysis and the identification of business-relevant information, with a particular focus on structured data and descriptive approaches.
Topics:
- The process of data analysis.
- The relationship between statistics and data analysis.
- Types of data analysis.
Professor: Ana Catarina Mateus, Business Analyts in CRU.
VIEW LINKEDIN
2. Advanced Business Intelligence
This module provides students with the opportunity to engage directly and tangibly with concepts introduced throughout the Master’s program, maintaining both a business and technical perspective.
Topics:
- The use of Data Discovery for business applications.
- The role of dashboards in decision-making.
- Business cases implemented with Power BI and Qlik technologies.
Professor: Ana Di Nezio Pérez, Power BI Consultant.
VIEW LINKEDIN
Information presentation is a key factor in decision-making and in shaping managerial perspectives; in this subject, students will learn about effective data visualization with Power BI.
Topics:
- The art of data visualization.
- Operational, managerial, and strategic reporting.
- Types of charts and their functions
Professor: Harsahal Biranwar, Senior BI Engineer.
VIEW LINKEDIN
Organizations are increasingly oriented toward the project-based economy and management by objectives. In this module, students will learn the fundamentals of Project Management, including methodologies, best practices, and management principles.
Topics:
- Key aspects of BI & Analytics Project Management.
- Project management processes aligned with best practices recommended by the Project Management Institute (PMI).
- Knowledge areas required for project managers.
Professor: Kerry Hargreaves, Value Creation Project Management Lead. Business Analysis - ECBA, CCBA, CBAP endorsed, Information Technology Project Management.
VIEW LINKEDIN
In this module, we will analyze different strategies for the efficient management of Big Data. After a brief introduction to Cloud Computing, we will review the main modern technologies and architectures for data processing in the cloud.
Topics:
- Big Data management: strategies and key solutions.
- Cloud Computing: public cloud solutions for data management.
- Concepts of Data Lakes and Data Hubs.
Professor: Efrain Ruh Sosa, Field CTO Continental Europe in Digitate.
VIEW LINKEDIN
3. Specialization
This module provides students with the fundamental concepts and tools needed to understand the evolving role of data analytics..
Topics:
- Fundamentals of business analytics.
- Descriptive analysis: objectives, statistical measures, models, etc.
- Predictive analysis models such as regression analysis, forecasting techniques, etc.
- Optimization models and applications of prescriptive analytics.
Professor: Raquel Jorge Hernando, Artificial Intelligence and BI Manager in Vass.
VIEW LINKEIDN
In this module, students will explore the most relevant aspects of Data Mining. As one of the core elements in decision-making and value creation for businesses, understanding the concepts and functions of Data Mining is essential.
Topics:
- Data Mining as a process for addressing business needs.
- The role of the Data Scientist.
- Hands-on practices with datasets using specialized software such as R and Knime.
Professor: Alfonso Fernandez, Data Manager in Bidatia.
VIEW LINKEDIN
Once students have acquired knowledge in Data Analytics and Data Mining, it is time to deepen their understanding of advanced techniques in these areas. This module focuses on the application of advanced predictive algorithms through programming languages such as R.
Topics:
- Differences between programming languages.
- Application of predictive models, including decision trees, classification, and clustering.
- Statistical methods for evaluating model performance.
- Introduction to time series analysis.
- Predictive modeling with R Studio.
Professor: Alexandru Gherega, Senior Software Engineer – Computer Scientist.
VIEW LINKEDIN
TFM y Actividades adicionales
This programme is designed to complement the content of the thematic blocks with the necessary training to achieve their internalisation. The training is conceived from a threefold perspective: technical assistance, personal support, and the individual and group challenges that are necessary to achieve the objectives set.
Levelling course | Basics for Business Intelligence and Analytics
OBS Business School offers students a levelling course that will allow them to acquire the necessary knowledge and skills to be able to adequately follow the programme. This workshop is self-directed and voluntary. However, it is highly recommended for those students who come from fields other than technical engineering. Through the development of this course, students will be able to identify those areas that need to be reinforced.
Pre-Masters Bootcamps
The student will have the opportunity to take 3 Pre-Master Bootcamps that will be opened progressively and can be taken at any time. Once the course has been completed and passed, a certificate of completion will be awarded.
- Building Your Professional Brand for Employability and Career Success
- Finance Fundamentals
- Organizational Well-Being
Introductory workshop | Campus Training
Before the start of the academic year, students will have the opportunity to attend an introductory workshop on the Campus where they will be provided with the tools and knowledge necessary for the correct use of the platform during the academic year.
Professional Development Programme (PDP)
Two weeks before the start of the academic year, students will be able to participate in a professional development programme where they will work hand in hand with a teacher to develop different skills such as time management, productivity and stress management and emotional intelligence. Upon completion of the workshop, and provided that the relevant activities have been carried out, a certificate of completion can be obtained.
The main objective of the Master's Final Project is to allow students to work on a project that allows them to put into practice all the knowledge acquired throughout the Master's Degree. Beyond an academic or learning activity, it is an opportunity to link training to economic and business reality.
Tutoring Team
The Master in Digital Marketing, eCommerce and Artificial Intelligence
is complemented by lectures, bootcamps and seminars that are given in each of the blocks. These additional activities are carried out by renowned professionals in business management who, through videoconferences, present their experiences and case studies.
Bootcamp: Programming with R
Programming plays a crucial role in modern data analytics. Although automated tools provide comprehensive functionalities for descriptive and predictive analysis, it is often necessary to complement these capabilities or even develop custom algorithms to address specific cases.
In this context, this bootcamp represents a key component of the Master’s program, focusing on R, one of the most widely used languages in Analytics. R is particularly well-suited for learning Advanced Analytics, making it an ideal choice for students to strengthen their programming skills and apply advanced analytical techniques in real-world scenarios.
Professor: Daniel Fernández, Data & AI Cloud Solution Architect en Microsoft.
VIEW LINKEDIN
Bootcamp: Python for data analytics
In addition to R, Python is perhaps the most referenced programming language today in the world of technology and data. For this reason, our Master’s program includes a bootcamp on Python focused on Analytics, designed to strengthen students’ skills in this area of study.
The objective of this bootcamp is to provide a practical overview of Python’s capabilities and applications in Analytics. It does not aim to turn students into professional programmers of this powerful language, but rather to equip them with the necessary knowledge to leverage Python effectively in data analysis contexts.
Professor: Alfonso Fernández Ramos, Data Manager in Bidatia.
VIEW LINKEDIN
Bootcamp: Advanced generative AI for data analytics
This bootcamp helps Master’s students advance their skills in Generative AI, introducing tools like LangChain, RAG, and autonomous agents. Participants learn to apply these technologies in data analytics to improve insights, automate processes, and build innovative solutions.
Through a hands-on approach, students explore advanced language models (e.g., GPT, DeepSeek, Llama), augmented search techniques, and integration with traditional analytics tools. By the end, they can develop applications such as analytical chatbots, automated reports, intelligent query systems, and autonomous agents.
Professor: Alexandru Gherega, Senior Software Engineer, Computer Scientist.
VIEW LINKEDIN
The Lifelong Learning Master’s Degree in Business Intelligence & Data Analytics includes preparing students for the following certifications:
• Scrum Master & Product Owner.
• Value Stream Management.
• Registered Gen AI Practitioner.
*The certifications and tuition fees are not included in the LLMD price and will be conducted in Spanish.
All students at OBS Business School will have access to training resources from Nex·ia, the Centre for Applied Artificial Intelligence at Planeta Formación y Universidades, developed in collaboration with Google Cloud and Deloitte. In addition, students will be able to obtain:
- A certificate issued by Nex·ia, Planeta Formación y Universidades and Google for Education.
-
Knime
An open-source data analytics platform that allows you to create visual workflows to integrate, process, analyse and visualise data without the need for coding, making it ideal for data science and machine learning. -
Power Bi
A cloud-based business analytics solution that enables you to combine different data sources, analyse them, and present the results through reports and dashboards. -
A data analysis and visualisation platform that transforms complex information into interactive charts and intuitive dashboards to support decision-making. -
Ollama
A platform that allows you to run and manage language models locally on your computer.
Methodology
OBS has an online methodology where the core is the student. Always backed by active and internationally renowned lecturers, who share their knowledge to enhance the professional development of students through a flexible, collaborative method with personalised monitoring. The aim is to create a unique educational experience that allows the assimilation of knowledge in a practical way.
Student ON's fundamental pillar is the student and, for this reason, throughout the course students have their Accademic Advisor, an academic figure who accompanies them in a personalised way.
Diploma
After successfully finishing the Master's degree, and having completed the relevant procedures, you will receive the Master's degree from OBS Business School. In addition, and provided that you meet the established academic and administrative requirements, you will obtain a Lifelong learning Master's degree from the Universitat de Barcelona (UB).
In order to obtain it, you must have a university degree. In the exceptional case of not having this degree and having passed the Master's evaluations, you will obtain a Higher University Diploma from the Universitat de Barcelona (UB).
At OBS Business School we are committed to having our own degree, which allows us to quickly update and adapt the programmes in each edition to be at the forefront of the educational level demanded by companies today. Our programmes are designed for professionals who want to strenghten their management skills and learn through an international experience.
Admission Process
The fundamental aim of our admissions process is to ensure the suitability of candidates. All participants should get the most out of this learning experience, through a context in which it is possible to develop long-term relationships with classmates, faculty and alumni.
After completing the application form for one of our programmes, you will receive an e-mail with information about the School and a member of the Admissions Department will contact you to start the admission process.
Once you have successfully passed the personal interview, you must submit all the required documentation to continue the admission process and certify that you meet the requirements of the student profile. After the Admissions Committee, if it is positive, you will be able to register and enrol in the programme you have applied for.
Student Profile
The students of our Master's Degree in Business Intelligence & Data Analytics come from different backgrounds and industries. However, they all have a common goal: to enhance their management skills in order to boost their professional careers.
Career Opportunities for the Master's Degree in Business Intelligence and Data Analytics
The Master in Business Intelligence and Data Analytics will allow you to access positions such as:
- Data Analyst
- Data Scientist
- Data Engineer
- BI Architecture Manager
- Consultant
- Business Intelligence Expert