The study plan for the Bachelor in Data and Business Analytics at IE University has been designed with the prestigious academic experience at its core, our academic faculty’s expert knowledge and research in each area, and the linkages between the University and the professional world.
The Bachelor in Data and Business Analytics aims to teach young ambitious individuals to build the proper skill set to become professionals capable of facing real-world challenges.
Through our hands-on teaching methodology, students from the Bachelor in Data and Business Analytics will find the perfect ideal balance between what is studied throughout their degree and the projects that are applied based on real-world scenarios.
This will aid them to develop profiles that are able to adapt to new trends happening now in the 21st century.
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. During this first year you’ll also study the fundamentals of business, statistics, technology and programming that you’ll need to become a successful data scientist.
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 statistics and mathematics knowledge you’ll need to interpret and analyze data. Finally, you’ll participate in workshops and boot camps that will help you develop teamwork and other soft skills to build a strong professional profile.
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. In this year you’ll also participate in a datathon: an intensive competition where you’ll have to apply all that you’ve learned up to this point in order to solve a real business problem by using, crunching and analyzing data.
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 will help you on your own path toward your favored area or industry. During this year you’ll also take the most advanced courses on software development, business analytics and data privacy. Then you’ll deliver a final project (capstone) in which you’ll integrate everything you’ve learned throughout the program in order to solve a problem or challenge of your choice, with the help of a tutor.
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 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.
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.
advanced knowledge in legal elements, data and how to utilize Artificial Intelligence tools in this rapidly evolving field.
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.
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.
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.
Success in global business depends on our ability to communicate. With this in mind, our programs seek to immerse students in the real-world conditions of the international business markets. This bachelor's degree is taught entirely in English in order to prepare students for future careers in top organizations. For students looking to improve their English skills, we offer a special Language Proficiency Track (LPT) in year one to help students progressively adapt to studying in English.
Studying at IE University means that once you graduate you will get immersed in an international environment and you will have to face challenges at a global scale. In order to prepare you for the real world and avoid language constraints, our Bachelors are fully delivered in English. For those who need to improve their language skills in order to study in their natural and international language and graduate with a proficiency level of the language, we offer a special track during the first year.
The Language Proficiency Track (LPT) has been designed for those students who wish to progressively adapt to studying fully in English at IE University.
Develop a multidisciplinary profile and specialize in two distinct, yet connected fields, by combining another bachelor degree with your studies in Data and Business Analytics.
This dual degree integrates business administration and data analytics seamlessly into one comprehensive program. This bachelor is aimed at individuals who are ready to drive performance within businesses, reach the smartest management decisions and make a positive impact in the corporate world.
This program encourages students to understand social environments and make data-driven decisions to impact societies and organizations. Students will gain strong analytical skills by experimenting with the latest data technologies and tools applied to the philosophical, political, legal, and economic fields.
It can be challenging, as it requires a strong foundation in mathematics, statistics, and computer science. However, with dedication and effort, it is achievable.
It can be challenging, as it requires a strong The path to becoming a business analyst can vary depending on the individual's education and experience. Typically, a bachelor's degree in a related field such as business analytics, data science, or computer science is required. In addition, gaining relevant work experience can help prepare for a career as a business analyst. in mathematics, statistics, and computer science. However, with dedication and effort, it is achievable.
Data analytics can be challenging, as it requires a solid understanding of mathematics, statistics, and computer science concepts. However, with dedication and hard work, it is achievable.
Data analytics can be challenging, as it requires a solid Yes, business analytics requires a strong foundation in mathematics, particularly in areas such as calculus, linear algebra, and statistics. These mathematical concepts are used to analyze data and inform business decisions. of mathematics, statistics, and computer science concepts. However, with dedication and hard work, it is achievable.
Yes, data analytics involves a significant amount of mathematics and statistics, as these concepts are used to analyze and interpret data. However, it also involves programming and data visualization skills, as well as business acumen to effectively communicate insights and recommendations to stakeholders.