Bachelor in Data and Business Analytics
- Home
- Studies
- Undergraduate Degrees
- Bachelor In Data And Business Analytics
A UNIQUE BACHELOR IN DATA AND BUSINESS ANALYTICS
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.
Bachelor in Data and Business Analytics Study Plan
Quality
BACHELOR IN DATA AND BUSINESS ANALYTICS IN A NUTSHELL
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. 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.
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 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.
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. 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.
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 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.
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
WATCH THIS PROBABILITY & MATH MASTERCLASS
Join Rafif Srour's masterclass to explore numbers, logic, and randomness. Learn outcome prediction and real-world applications in mathematics. Unlock the mysteries of numbers!
Learning a new language can open up a world of new opportunities
IE University considers multiple language acquisition to be a key element of its educational model, leading to success in both work and study.
The Language Center at IEU is proud to offer students the possibility to study a wide range of languages, including French, German, Portuguese, Chinese, Arabic, Spanish, and English. With such a large variety of options, our students are able to personalize their academic path to meet their future career plans and objectives.
The Language Center at IEU
The Language Center helps students develop their multilingual communicative skills to help them flourish in the international labor market.
THE DUAL DEGREES OF 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.
DUAL DEGREE IN BUSINESS ADMINISTRATION + DATA & 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.
Undergraduate Degrees | English | five yearsDUAL DEGREE IN PHILOSOPHY, POLITICS, LAW & ECONOMICS + DATA & BUSINESS ANALYTICS
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.
Undergraduate Degrees | English | five years
COMPETENCES
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.
APPLICABLE REGULATIONS OF THE PROGRAM
FREQUENTLY ASKED QUESTIONS
Is Bachelor of business analytics hard?
It can be challenging, as it requires a strong foundation in mathematics, statistics, and computer science. However, with dedication and effort, it is achievable.
How long does it take to be a business analyst?
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.
Is data analytics a hard degree?
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.
Does business analytics require math?
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.
Is data analytics math heavy?
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.