- Home
- Studies
- Undergraduate Degrees
- Bachelor In Data And Business Analytics
A UNIQUE BACHELOR IN DATA AND BUSINESS ANALYTICS
The Bachelor in Data and Business Analytics at IE University aims to equip ambitious individuals with the advanced technical, analytical and strategic skillset required to address real-world challenges through data.
The study plan for this program has been designed to offer an elevated, academically rigorous learning experience, drawing on our academic faculty’s expert knowledge and research in each area, as well as the strong linkages between the University and the professional world.
Through our hands-on teaching methodology, students will find the ideal balance between the academic concepts studied throughout their degree and the practical projects they tackle based on real-world scenarios. This will enable them to develop adaptable and future-oriented profiles capable of responding to the evolving trends shaping the 21st century.
WANT TO KNOW MORE?
Bachelor in Data and Business Analytics Study Plan
OFFICIAL PROGRAM INFORMATION
Fact Sheet: official ECTS credits and university degree registration
PROGRAM
Bachelor in Data and Business Analytics
DURATION
4 years
LANGUAGE
English
CENTRES OF STUDY AND NUMBER OF PLACES
Centro de Estudios Superiores IE (Madrid) – 60 places
Facultad de Ciencias Humanas, Sociales y de Comunicación (Segovia) – 60 places
CREDITS
Total number of credits: 240 ECTS*
Distribution of credits and subjects**:
Core subjects – 60 ECTS
Mandatory subjects – 138 ECTS
Elective subjects – 30 ECTS
Final Project – 12 ECTS
AREA OF KNOWLEDGE
Economic Sciences, Business Administration, Marketing, Trade, Accounting and Tourism
TEACHING METHODOLOGY
Face-to-face
SPANISH MINISTRY’S REGISTRY OF UNIVERSITIES, CENTRES AND DEGREES
ASSURANCE AGENCY
ACSUCYL*** – Buscador TÃtulos Oficiales
ACCREDITATION RENEWAL RESOLUTION(2024)
REPORT ON THE PROPOSAL TO MODIFY THE OFFICIAL TITLE (2023)
REPORT ON THE PROPOSAL TO MODIFY THE OFFICIAL TITLE (2022)
DEGREE VERIFICATION RESOLUTION (2018)
*European Credit Transfer System
**The character of the subjects is defined by the Spanish legislation
***Quality Assurance Agency for the University System in Castilla y León
Professional Core Competences in Data and Business Analytics
Basic competences
GENERAL COMPETENCES
- Identify, contextualize, analyze and formulate solutions to complex problems in multidisciplinary environments using logical methods.
- Apply systems and processes through their modeling and analysis with the aim of analyzing their dynamics and identifying the keys to their influence and development.
- Transform large volumes of data into information and formulate contextualized solutions from a social and business management point of view.
- Understand innovation as a force for positive change and the methods that render it a tool for the identification and implementation of change.
- Apply the different computer technologies that form the current work ecosystem for the management, analysis and visualization of data.
- Develop communication techniques to become capable of presenting proposals, projects and the results of analyses coherently and effectively.
- Use critical and self-critical thinking effectively during the execution of both individual and group tasks.
PROGRAM-SPECIFIC COMPETENCES
- Critically analyze data and analysis systems identifying the most appropriate storage, processing, modelling and analysis methods according to the study aims.
- Understand the different types of data, including the diversity of sources, formats, quantity, quality and usefulness in terms of being amenable to analysis.
- Apply a variety of techniques related to data mining, algorithm-based machine learning, predictive models and the classification and segmentation of data from different sources and formats.
- Use visualization tools to explore data, reveal patterns and communicate results to others in order to facilitate decision-making.
- Design, perform and analyze experiments and other forms of data-driven applied research as a way to test ideas and hypotheses and draw conclusions.
- Acquire competences in the collection, management, cleaning, structuring, storage and consultation of data both manually and through computer programming.
- Work effectively with data within organizations’ technological ecosystems.
- Methodically design and carry out analytical projects in multidisciplinary environments.
- Understand and apply programmatic and algorithmic thinking for the execution of the different phases of business analytics, including knowledge of the main tools used.
- Incorporate statistical models into technological tools and smart machines dedicated to data analysis.
- Apply the knowledge and methods of data analytics to functional areas and business sectors in order to improve their performance, identify opportunities and respond to existing and/or emerging problems.
- Understand the nature of business, its internal structure and its scope of action from a social (society) and individual (consumer, interest groups, etc.) point of view.
- Know the principles that govern the behavior of individuals and groups as well as the fundamentals of social activity in the business field.
TRANSVERSAL COMPETENCES
- Identify the main cultural identity traits that characterize today’s world by understanding the main contemporary ideological trends.
- Behave professionally in accordance with the core principles and ethics of the profession. Manage unforeseen situations by being able to adapt to organizational changes.
- Use knowledge of the discipline to analyze and evaluate current situations.
- Form a part of interdisciplinary and multicultural teams to achieve shared goals in a diverse environment.
- Work actively in an international context.
Learn More about our Bachelor in Data and Business Analytics
YEAR 1
During your first year, you’ll go through an introductory phase focused on the foundations of data science. You’ll learn about research methods and how they can be applied to solve technology-related problems through data. You’ll also study the fundamentals of business, statistics, technology and programming, developing the essential foundation needed to become a successful data scientist.
YEAR 2
In your second year, you’ll study the latest technologies and tools available in the market that can be used to exploit the power of data. You’ll learn about programming, database modeling, machine learning, forecasting time series and big data technology. You’ll also gain the in-depth statistical and mathematical knowledge required to analyze and interpret complex datasets. Finally, you’ll participate in workshops and bootcamps designed to strengthen teamwork, leadership and other soft skills necessary for a strong professional profile.
YEAR 3
During your third year, you’ll dive into the data analytics technologies needed to harness the power of data. You’ll take hands-on classes in which you’ll learn by applying recommendation engines, advanced machine learning, cloud computing, semantic analysis, artificial intelligence and parallel computing technologies to real-world challenges. This year, you’ll also participate in a datathon: an intensive competition where you’ll apply all you've learned up to this point to solve a real business problem by using, crunching and analyzing data.
YEAR 4
In your last year, you’ll be exposed to the professional world through tracks oriented toward Artificial Intelligence and Healthcare or Artificial Intelligence and Data Engineering. You’ll be able to choose from a range of electives and courses, selecting those that best align with your academic interests and long-term professional goals. During this year, you’ll also take advanced courses on software development, business analytics and data privacy. Then, you’ll deliver a final capstone project in which you’ll integrate everything you’ve learned throughout the program to solve a data-driven problem or challenge of your choice, with the guidance of a tutor.
BACHELOR IN DATA AND BUSINESS ANALYTICS TRACKS
The Bachelor in Data and Business Analytics takes customization one step further with its unique elective tracks. With your success as our focus, you can select one of our two tracks designed to prepare you for the realities of the workplace in today’s fast-paced world. Focused on artificial intelligence in the sector, you can choose between Artificial Intelligence and Healthcare and Artificial Intelligence and Data Engineering.
Led by experts in the field, each track gives you the opportunity to utilize data sets and gain relevant firsthand experience in the field you select.
Artificial Intelligence and Healthcare
Artificial intelligence is revolutionizing the healthcare sector, and it’s important for you to stay ahead of the changes. With this track, you will gain firsthand insights into the industry, covering topics ranging from patient management and the most advanced techniques in machine learning to mastering the legal and ethical implications of using sensitive data.
IS FOR STUDENTS WHO ARE…
ready to enter the healthcare field as data experts and Artificial Intelligence practitioners. This track is designed for students who have previous experience in coding and machine learning and are ready to apply them to the world of work. They also have strong mathematics, computer science and problem-solving skills.
LOOKING FOR…
advanced knowledge in legal elements, data and how to utilize Artificial Intelligence tools in this rapidly evolving field.
TO BECOME…
- a data scientist
- a healthcare Artificial Intelligence specialist
- a machine learning engineer
Artificial Intelligence and Data Engineering
Data engineers use artificial intelligence to build simplified, streamlined processes. Today’s data-driven world calls for leaders who can set up advanced, near-real-time data pipelines and utilize the power of Artificial Intelligence to process data efficiently and effectively. Aimed at professionals who want to take their engineering skills to the next level, this track gives you the know-how to navigate MLOps and data streaming tools confidently, as well as the skills to create enriching customer experiences.
IS FOR STUDENTS WHO ARE…
data-driven and want to upskill their engineering tool kit. This track is designed for students who are passionate about coding and managing near-real-time data. They also have a strong interest in the more technical side of data.
LOOKING FOR…
an updated skill set that allows them to develop real-time pipelines that offer recommendation systems and fraud detection, among other types of real-time data processing.
TO BECOME…
- a data engineer
- an Artificial Intelligence expert working with data-in-motion
- a machine learning expert
DATA AND BUSINESS ANALYTICS IN ACTION
Watch this session to discover what studying Data and Business Analytics at IE University is really like. You'll hear key insights from the Academic Director and see what students actually do in the program through a real project presented by a current student: an AI-powered solution that automates order processing for distributors while leveraging data and predictive analytics to anticipate customer needs and improve business decision-making. The session concludes with a Q&A where the student answers questions about her experience in the program.
Watch full session
Get the key takeaways
Data and Business Analytics Program according to our students
Data and Business Analytics Program according to our students
Faculty Stories
Our world-class faculty of 500 strong guides students to unleash their potential day in, day out. Their influence across all five Schools can't be overstated, inspiring talented and intellectually curious minds as they define their personal and professional trajectories.
But what kind of person does it take to create such impact? The individuals who make up the IE University faculty are exceptional. Coming from diverse, global backgrounds, they each bring distinct perspectives, real-world expertise and innovative ideas that embody what makes IE University stand out. Their stories are personal and unique, but don't take our word for it. Read their stories to see for yourself.
FACULTY RESEARCH
FACULTY RESEARCH
What sets our faculty apart is their deep integration into the fields they teach. Not only are they active practitioners, bringing firsthand knowledge and insights to the classroom, but they are also involved in pioneering research that pushes the boundaries of their disciplines.
Our professors ensure they stay at the forefront of the latest developments in science and technology by actively contributing to advanced academic and industry research. They blend these insights directly into the learning experience, equipping students with the tools, knowledge and mindset needed to succeed in today's rapidly advancing scientific and technological landscape.
Read our blog
FREQUENTLY ASKED QUESTIONS
How long is a data & business analytics degree?
IE University’s Bachelor in Data & Business Analytics is a full-time, four-year program delivered in-person in Madrid, with the option to start the program in Segovia.
Is this information helpful?
Is a Bachelor in Data and Business Analytics Hard?
The Bachelor in Data and Business Analytics is academically rigorous, as it combines quantitative methods, data analysis, programming and business applications. Students are expected to develop strong analytical and problem-solving skills throughout the program. While the degree requires dedication and consistent effort, it is designed to support students as they progressively build their knowledge and confidence. With curiosity, commitment and a willingness to learn, students can succeed and thrive in the program.
Is this information helpful?
Does the Bachelor in Data and Business Analytics Require Math?
Yes, mathematics is an important foundation of the Bachelor in Data and Business Analytics. Students work with concepts such as calculus, linear algebra, statistics and probability, which underpin many of the analytical methods used throughout the program. However, success is not determined by prior expertise alone. The curriculum is designed to help students progressively develop their quantitative, analytical and technical skills. With effort, engagement and a growth mindset, students can build the mathematical confidence needed to succeed in the degree and apply data-driven thinking to real-world business challenges.
Is this information helpful?
What specialized tracks can business analytics students choose?
The program offers an opportunity to gain deeper expertise in a competitive area through two specializations, including the Artificial Intelligence & Healthcare track and the Artificial Intelligence & Data Engineering track. Led by experts, each track allows you to practice with real datasets and gain practical experience in your selected field. Note that the availability of these specializations is subject to demand.
Is this information helpful?