Master in Business Intelligence and Analytics
The Master in Business Intelligence and Analytics, with a Master's degree in lifelong learning, 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 exam to obtain the aCAP® (Associate Certified Analytics Professional) or CAP® (Certified Analytics Professional) certifications, key accreditations for the area of operations and analytics.
- 12 months
- 60 ECTS
- OCTOBER 2024
- Online
- SPANISH
- 7700 €
Get a double degree from our academic partner, the reference university in Catalonia and Spain with more than 560 years of history behind it.
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.
The Master in Business Intelligence and Analytics in the TOP 2 in Spanish in the Business Intelligence and Strategy category of Eduniversal's Ranking.
Objectives
OBJECTIVE 1
BI and BA TOOLSKnow 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 VISIONAcquire 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 VISIONGain a strategic vision of the entire process of obtaining, processing and analysing data and making decisions based on the results obtained.
OBJECTIVE 4
PROJECT MANAGEMENTIdentify 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 Degree in Business Intelligence and 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. Deepening BI
Block 3. Tools and decision making
Master's Final Project
Bootcamps and additional activities
1. Introduction to data
This module will allow the student to visualise all the elements of a BI architecture within an organisation. The course aims to provide the student with a 360-degree view of the components of a Business Intelligence Architecture, thus preparing them to face and take better advantage of the future modules of the Master, covering technical and functional aspects of the business in a current field related to these technologies.
Professor: Matthew Alexander, Manager & Tech Enablement at PwC.
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Digital strategy, its planning and management is one of the keys to business success and growth in our century. In this subject the student will develop the strategic vision necessary to add value to the business through data and its associated technologies. The digital transformation of companies is achieved strategically, and this will be the essence of this course.
Professor: Gema Caballero Muñoz, Business Analyst and Innovation at ENGIE.
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In this module you will work on the different types of information that we may have in the company, identifying the customer as the most relevant master data for the organisation. This module will introduce you to Data Analysis, so you will carry out practices related to the subject; and you will see PowerBI.
Professor: Layla Scheli, Head of technical secretariat area at iosper.
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2. Delving deeper into BI
This subject offers you the possibility to establish a direct and tangible contact with concepts seen throughout the Master, maintaining at all times a business and technical approach. Qlik is currently one of the best known and most widely used tools in Business Intelligence, included in the "Gartner: Magic Quadrant for Business Intelligence and Analytics Platforms".
Professor: Jesús Cristobal Asorey, Director, Qlik Expert and Qlik Elite Partner at SAND.
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The presentation of information is a key factor for decision making and for the managerial vision of the business. Data visualisation is an art that covers aspects such as: identifying what information to show, what type of graph to use, where to place it in the report, how to interpret it, how to build a management dashboard, colours, shapes, etc. This data visualisation makes a difference in decision making, information analysis, sales, etc. In this module you will learn how to build reports and how to present them, you will see the different types of graphs and you will understand the art of visualising data.
Professor: Miguel Molina, Data Engineer at SAND.
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During the development of this subject, we will analyse the 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. We are interested in understanding both the processing possibilities and the benefits that Cloud Computing provides for data management and processing.
Professor: Efrain Ruh Sosa, Product Specialist at Digitate.
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In this sense, in this module the student will learn about everything related to Project Management: methodologies, best practices, management principles, etc., especially oriented to the implementation of solutions related to Business Intelligence and Analytics. This module focuses on gaining an insight into project management with an emphasis on BI project management. The module is the starting point for the elaboration of the final project of the master's degree.
Professor: Sajid Abad Garcia, Managing Director at Praiker.
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3. Tools and decision making
This subject provides you with the fundamental concepts and tools necessary to understand the new role of business analytics in organisations. It also focuses on how to apply basic business analytics tools in a competitive environment and how to communicate with analytics professionals to effectively use and interpret analytical models and their results to make better business decisions.
Professor: Raquel Jorge Hernando, Analytical Model Controller at Climbea.
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Data Mining is considered as one of the central aspects of Data Management for the generation of business value, therefore, the understanding of the concepts, algorithms, functions, etc., of Data Mining will be very important for all CDO and in general for data management professionals. In this module you will learn about the most relevant aspects of data mining, some of the aspects you will see are data mining as a process, the most relevant algorithms and the role of Data Scientis, among others.
Professor: Ernesto Lores Garrido, Project Manager at Aquiles Solutions.
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Once the student knows about Business Analytics and Data Mining, it is time to go deeper into the advanced techniques of these areas of knowledge. In this subject we will move on to the application of the most advanced predictive algorithms through the application of programming languages like R.
Professor: Ernesto Lores Garrido, Project Manager at Aquiles Solutions.
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Master's Final Project and Additional Activities
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.
Training complements
Prior to the start of the programme, students will have access to two classrooms where they will find training resources that will enable them to acquire the knowledge and develop the skills necessary to follow the course correctly. These courses will be monitored by a teacher until the actual start of the programme. These complements are:
- Introduction to programming: Python.
- IT infrastructures.
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.
- Bootcamp 1. Personal Branding
- Bootcamp 2. Data Storytelling
- Bootcamp 3. Creative thinking and innovation
In addition, students will also have the opportunity to take these pre-master courses; however, these are available in English only:
- Building Your Professional Brand for Employability and Career Success
- Finance Fundamentals
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 final project is a fundamental element in the development of the Master's degree. In its preparation, participants must consider all aspects related to the development and management of a Business Intelligence and/or Analytics project, defining the strategic position of the company in the area and designing the implementation of those measures and business policies that they consider most appropriate to achieve the objectives related to the area of Business Intelligence, both in the short and medium and long term.
Fundamentally, it consists of drawing up a proposal for the implementation of a technological solution based on the content of the Master's degree within a real business environment, i.e. this proposal must be framed within the topics and knowledge acquired throughout the Master's degree.
Professor: Sajid Abad Garcia, General Manager at Praiker.
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The Master in Business Intelligence and Analytics is complemented by workshops, conferences and seminars 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 in R
Nowadays, programming plays an important role in data analytics. Although automated tools offer very complete functionalities for descriptive and predictive data analysis, it is often necessary to complement these functionalities and even develop algorithms to solve special cases. In this sense, this bootcamp plays a key role in the development of the Master. On the other hand, the workshop will be focused on R, one of the most widely used programming languages in Analytics, which is also ideal for learning Advanced Analytics.
Professor: Rosana Ferrero, Academic Director of the Department of Applied Statistics and Data Science at Máxima Formación, SL.
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Bootcamp: Python Analytics
In addition to R, Python is perhaps the most referenced programming language currently in the world of data and technology, therefore, our Master has included this bootcamp on analytics-oriented Python in order to give more strengths to the student within the subject of study.
The aim of this bootcamp is to provide a practical overview of Python's capabilities and usage within Analytics, therefore, the bootcamp is not intended to train the student to become a programmer of this powerful programming language.
Professor: Alfonso Fernández Ramos, Data Analytics Head atHispatec, Agrointeligencia.
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Bootcamp: Preparation for CAP/aCAP certification
During two weeks, you will have the opportunity to participate in a seminar where you will be provided with all the information regarding the CAP (for students with more than 3 years of professional experience in analytics) / aCAP (for students with less than 3 years of professional experience in analytics) certifications, as well as additional materials to prepare for it. The workshop will be divided into three blocks: 1. Introduction to the key concepts; 2.
*The cost of the certifications and the preparatory course is not included in the price of the programme.
Professor: Raquel Jorge Hernando, Analytical Model Controller at Climbea.
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Company visits
During the programme, students will have the opportunity to attend synchronous videoconferences with professional experts in the programme area. They will share their experience and provide best practices in the sector.
Case studies: Case method
The practical component of the programme is essential and complements the theoretical training. To this end, during the course there will be debates on current topics of interest in each of the subjects, simulations for decision-making applied to real situations or case studies where the problems posed and the solutions proposed will be analysed from an academic point of view, as well as the criteria considered to carry them out.
Webinars
Most of the training is done asynchronously, that is, the exchange of knowledge is done through a platform that allows sharing written texts without the need for people to be connected at the same time. Additionally, in each of the modules, synchronous sessions or 'webinars' are organised, where all participants are connected at the same time through an application, which allows the exchange of knowledge in 'real time'.
Students taking the Master's Degree in Business Intelligence and Analytics will be able to prepare for the Informs CAP/ aCAP certifications*.
In addition, they will have the opportunity to train for the following certifications:
- ICN Business IT Certification*
- Scrum Certification (Product Owner & Scrum Master) *
*The cost of the certifications and the preparatory course is not included in the price of the programme.
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 Programme Manager, 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 Master in Business Intelligence and Analytics is aimed at professionals who want to work as Business Intelligence managers or consultants.
