Bachelor in Computer Science and Artificial Intelligence
Bachelor in Computer Science and Artificial Intelligence
Create AI technologies to reshape industries
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BACHELOR IN COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE STUDENTS PROJECTS
Student projects showcase how theory is translated into practice throughout the program. Through IE University's project-based, tech-studio methodology, students apply concepts from machine learning, robotics, computer vision, data science and software engineering to design, develop and test real-world systems. Working in cutting-edge facilities such as the Robotics & AI Lab and the Electronics Lab, they gain hands-on experience with the technologies shaping the future of computing.
Students can further expand their project experience beyond the classroom through research initiatives, laboratory work and technology competitions. As part of CyPhy Life, a research group based in the Robotics & AI Lab, students have the opportunity to work alongside faculty and researchers on research projects projects at the intersection of robotics, artificial intelligence and cyber-physical systems. They can also develop projects through initiatives such as the Datathon and the Tech Venture Bootcamp, applying their technical expertise to develop innovative solutions and collaborate in highly competitive environments.
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Frequently Asked Questions
What kinds of projects do students work on?
Students work on a wide variety of technical projects throughout the program, ranging from software development and machine learning applications to robotics, computer vision, data science and human-computer interaction. Projects are designed to help students apply concepts learned in the classroom while developing practical experience in building, testing and evaluating real-world systems.
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Do students build AI and machine learning applications?
Yes. Students have opportunities to work on projects involving machine learning, computer vision, natural language processing, recommendation systems, robotics and other AI-related technologies. These projects allow them to apply AI techniques to real-world challenges while building on strong foundations in computer science and software development.
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Can students participate in research projects?
Students can engage in research opportunities throughout the program through research groups such as CyPhy Life, projects developed within IEX Labs, or by collaborating directly with faculty on ongoing research initiatives. These experiences provide exposure to the research process while allowing students to contribute to projects in areas such as artificial intelligence, robotics and other emerging fields of computing.
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What technologies do students use throughout the program?
Students work with a variety of technologies depending on the project and area of study. These may include machine learning frameworks, robotics platforms, cloud computing technologies, data analysis tools and software development environments. Through laboratories, projects and research activities, students gain experience using technologies commonly applied across modern computing disciplines.
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Are projects completed individually or in teams?
Students experience both individual and team-based projects throughout the program. While some projects focus on developing independent technical skills, many involve collaboration with classmates, providing opportunities to learn from diverse perspectives, exchange ideas, tackle complex challenges collectively and develop the teamwork and communication skills that are increasingly important in today's technology landscape.
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Can students publish research or present their work?
Students involved in research initiatives such as CyPhy Life may have opportunities to contribute to research projects, present their work at conferences and, in some cases, co-author publications with faculty and researchers. Through the Robotics & AI Lab and other research activities, students can gain first-hand experience participating in the research process and communicating their work to academic and professional audiences.
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