Applicants must complete the admissions process and demonstrate the academic ability, analytical aptitude and motivation required to succeed in a rigorous computer science program. Each application is reviewed holistically by the Admissions Committee, which evaluates academic performance, analytical skills, intellectual curiosity, motivation and overall fit for the program.

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Admission Process | IE University

Admission to the Bachelor in Computer Science & Artificial Intelligence is selective and competitive. We seek highly motivated students with strong academic potential, analytical thinking skills and intellectual curiosity. Our goal is to bring together talented and ambitious students from around the world who will contribute to a challenging and collaborative learning environment.

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.

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.

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.

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.

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.

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.