Bachelor in Computer Science and Artificial Intelligence
Bachelor in Computer Science and Artificial Intelligence
Create AI technologies to reshape industries
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WHY STUDY THE BACHELOR IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE
In the age of artificial intelligence, organizations increasingly need professionals with strong computer science foundations who can think critically and solve complex problems. The Bachelor in Computer Science & Artificial Intelligence at IE University prepares graduates with exactly that combination of skills through a rigorous, engineering-focused education combining computer science with advanced expertise in artificial intelligence and machine learning.
The program integrates core disciplines such as programming, algorithms, software engineering, data structures, systems architecture and applied mathematics with hands-on experience in AI, robotics and data-driven technologies. By approaching AI as a technical discipline grounded in computation, statistics and real-world systems design, the curriculum enables students to understand not only how intelligent technologies work, but also how to design, build and scale the systems that power them.
Through IE University's project-based, tech-studio learning methodology, students engage in research-informed learning, industry collaboration and technical experimentation from their first year, preparing them to develop next-generation software, AI-powered technologies and intelligent systems in an increasingly complex digital world. As a premier AI university in Madrid, IE University connects computer science theory with Europe's fastest-growing technology hub.
The Bachelor in Computer Science & Artificial Intelligence is fully compliant with the Bologna Process and accredited by the Spanish government and the European Higher Education Area (EHEA).
WANT TO KNOW MORE?
Get an inside look at what makes this program truly exceptional
In this exclusive overview, Rafif Srour, Executive Vice Dean of IE School of Science & Technology , walks you through the core elements that shape the program’s vision, structure, and impact.
ANY DOUBTS ABOUT THE PROGRAM?
ANY DOUBTS ABOUT THE PROGRAM?
If you’d like to discuss your questions one-on-one, you can book a call with our program specialist, who can guide you through the details.
Aleix Catalan - Program Specialist
WHO IS THIS PROGRAM FOR
IS FOR INDIVIDUALS WHO ARE…
students with strong mathematical and analytical aptitude who want to build a deep foundation in computer science while developing the critical thinking and technical expertise to create the intelligent systems shaping the future.
They are curious about how software, machine learning, robotics and computational systems work at scale, and are motivated by solving complex technical problems through engineering and innovation.
LOOKING FOR…
a rigorous Computer Science program that combines programming, algorithms, software engineering, AI, machine learning and robotics with project-based learning, preparing them to design, build and scale modern software and computing systems.
TO BECOME...
High-demand technology experts such as:
- Software Engineer
- Machine Learning Engineer
- Cloud and DevOps Engineer
- Cybersecurity Engineer
- Site Reliability Engineer
- Systems Architect
- AI Engineer
- Forward Deployed Engineer
- Technical Product Manager
- Research Scientist
Where You’ll StudyÂ
Where You’ll StudyÂ
The Bachelor in Computer Science & Artificial Intelligence at IE University is delivered in Segovia or Madrid, depending on the study pathway. Students can begin in Segovia, where a close academic environment helps build strong technical foundations, and continue in Madrid, engaging with a dynamic ecosystem of technology and innovation. Alternatively, students may complete the full program in Madrid.
Explore Our Campuses & Learning Environments in Spain
Segovia Campus
A historic campus in a UNESCO World Heritage city, where tradition meets innovation through a close-knit community and spaces designed for collaboration and creativity.
Madrid CampusÂ
A vertical campus in the heart of Madrid with a contemporary academic environment, an international community, innovative spaces, and direct access to industry and entrepreneurship.
Laboratories
Technology- and science-focused spaces equipped with state-of-the-art equipment, including specialized tools, hardware, and industry-standard technologies, where students apply concepts from computer science, robotics, physics, and engineering through hands-on experimentation, prototyping, and project development.
6 reasons to study Computer Science and AI at IE University
6 reasons to study Computer Science and AI at IE University
The Growing Importance of Computer Science in the Age of AI
As AI reshapes industries and transforms the way technology is developed and used, a strong foundation in Computer Science has never been more valuable. While AI is becoming increasingly capable of writing and optimizing code, Computer Science extends far beyond programming alone. Understanding how software systems, algorithms, data and computing infrastructure work is essential to designing and developing the intelligent technologies shaping the future. This program prepares students to think critically, design robust systems and build the technologies that make AI possible.
Core pillars of our Bachelor in Computer Science & Artificial Intelligence
Rigorous Computer Science Foundations
Students develop a deep understanding of the core principles that underpin modern computing, including programming, algorithms, software engineering, data structures and mathematics. These foundations provide the knowledge required to understand complex systems, adapt to emerging technologies and tackle increasingly sophisticated technical challenges.
Artificial Intelligence and Modern Computing at its core
Students benefit from a modern curriculum that integrates artificial intelligence with the broader technologies shaping the future of computing. Through topics such as machine learning, robotics, distributed systems and cybersecurity, students gain insight into how intelligent and large-scale systems are designed, developed and deployed across different domains.
Project-Based Learning and Technical Experimentation
Learning extends beyond lectures through a project-based, tech-studio methodology that emphasizes application, iteration and discovery. Students engage in software development, laboratory work, prototyping and collaborative projects, transforming theoretical concepts into practical solutions while strengthening their teamwork skills and ability to solve real-world technical problems.
Faculty Research and Industry Integration
Students learn from professors whose research advances computer science and artificial intelligence, gaining exposure to cutting-edge developments while collaborating with industry and faculty through applied projects and technical challenges. Faculty members also bring valuable industry experience into the classroom, helping students understand how these technologies are applied across sectors and at scale.
The program from a student perspective
Student Stories
At IE University, more than 75% of our student body comes from outside Spain, representing an average of 130 nationalities on campus each year. We take great pride in these numbers—and in the individuals behind them.Â
Our students are natural go-getters with a global outlook and a dream of a better future. Regardless of their degrees or passions, they strive every day to unleash their innovative potential and reach their goals. Driving this shared vision are people from a variety of cultures, backgrounds and life experiences. They are both united and entirely unique. These are our students. Discover their stories.
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 this program.
UNSURE IF THIS IS THE RIGHT PROGRAM TO HELP YOU ON YOUR PROFESSIONAL JOURNEY?
Discover the Bachelor in Computer Science and Artificial Intelligence related programs:
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Frequently Asked Questions
With AI becoming increasingly capable of writing code, is studying computer science still worth it?
Computer science is far more than writing code. AI is transforming how software is built, but it is not replacing the need for computer scientists, it is increasing it. While AI can generate code, it cannot fully understand complex systems, design robust architectures, ensure security, optimize performance, or solve novel problems without human expertise. The most impactful professionals in the AI era will be those who understand both the foundations of Computer Science and how to leverage AI effectively.
The Bachelor in Computer Science and AI at IE University provides the critical thinking, mathematical rigor, and technical depth needed to build, evaluate, and innovate with AI technologies in a rapidly evolving technological landscape.
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How does computer science relate to AI?
Computer Science provides the foundation for AI. AI is a specialized field within Computer Science that focuses on creating systems capable of learning, reasoning, and making decisions. Fundamental computer science concepts such as algorithms, programming, data structures, and computing systems are essential for developing and advancing AI technologies.
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Why study a degree that combines Computer Science and AI?
Computer Science provides the foundations needed to understand how software, algorithms, and computing systems work, while AI focuses on building intelligent systems that can learn, reason, and make decisions. Studying both disciplines together gives students a broader and more comprehensive skill set. They learn not only how to use AI tools, but also how to understand, evaluate, and develop the technologies behind them. This combination prepares graduates to tackle complex technological challenges and create innovative solutions across industries where AI is transforming the way we live and work.
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Does the program focus more on computer science or artificial intelligence?
The program is built on strong computer science foundations while offering advanced study in artificial intelligence and machine learning. Students develop expertise in programming, algorithms, software engineering, data structures, systems and mathematics before applying these foundations to areas such as machine learning, robotics and intelligent systems. This approach ensures graduates understand not only how to use AI, but how to design, build and improve the technologies that make it possible.
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What makes this Bachelor in Computer Science & Artificial Intelligence different from other programs?
The program combines rigorous computer science foundations with advanced study in artificial intelligence, machine learning and robotics. Through a project-based, tech-studio methodology, students apply theory through software development, technical experimentation, laboratory work and research opportunities. Combined with access to specialized facilities, industry engagement and a highly international student community, the program offers a distinctive balance of technical depth and practical experience.
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What skills will I develop during the program?
Students develop a broad range of technical, analytical and problem-solving skills. These include areas such as programming, software engineering, algorithm design, data analysis, machine learning, cloud computing and computational problem-solving. Through projects, laboratory experiences and research opportunities, students also gain experience applying these skills to real-world technological challenges.
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Who is this program designed for?
The program is designed for highly motivated students with strong analytical and quantitative aptitude who are interested in understanding how technology works and how it can be applied to solve complex problems. It is particularly suited to students who enjoy mathematics, logical reasoning, programming and exploring emerging areas of computing such as artificial intelligence and robotics.
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Do I need previous programming experience?
No. Previous programming experience is not required. Students begin by developing the fundamental programming and computational thinking skills needed to succeed in the program. However, curiosity about technology, strong analytical abilities and a willingness to engage with challenging technical concepts are important foundations for success.
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