Mode: Online, Distance, On-Campus

Duration: 3 years

The Bachelor in Artificial Intelligence (Introductory) at the International Swiss School is a forward-thinking, internationally recognized undergraduate program crafted for the next generation of tech innovators and AI pioneers. Situated in Switzerland—a global hub for research, innovation, and digital transformation—the program provides international students with an intellectually stimulating environment where computer science meets cognitive science, and machine learning meets ethical foresight. This artificial intelligence degree blends rigorous training in computational theory and data science with specialized coursework in machine learning, neural networks, natural language processing, and intelligent systems design. Students gain the foundational tools to develop smart technologies, build autonomous systems, and shape the future of human-computer interaction—preparing them to lead in a world increasingly driven by intelligent machines.

Academic Structure

Throughout their studies in the Bachelor’s in Artificial Intelligence, international students engage with a dynamic curriculum designed to tackle the rapidly evolving challenges and opportunities of intelligent systems in the digital age. The program integrates core principles of computer science with specialized knowledge in machine learning, robotics, cognitive computing, and data-driven decision-making. Students explore vital topics such as neural networks, natural language processing, algorithmic modeling, AI ethics, and intelligent automation. Emphasizing real-world application, the program includes hands-on experiences such as coding labs, AI-driven project development, collaborative hackathons, internships with tech companies, and research in fields like autonomous systems, smart cities, and predictive analytics.

Core Areas of Study

The curriculum is designed to provide both breadth and depth in essential areas of artificial intelligence, machine learning, and intelligent system design. It blends a strong theoretical foundation with hands-on applications, ensuring that students understand not only the algorithms behind AI but also the ethical, technical, and societal impacts of deploying smart technologies. Core areas of study include:

• Machine Learning and Neural Networks – developing systems that can learn from data and improve over time, including deep learning architectures and model optimization techniques;
• Computer Vision and Image Recognition – exploring how machines interpret and process visual data, enabling applications in robotics, autonomous vehicles, and surveillance systems;
• Natural Language Processing (NLP) – studying how AI understands and generates human language, powering chatbots, virtual assistants, translation tools, and sentiment analysis engines;
• Robotics and Autonomous Systems – integrating AI into hardware to build machines that can navigate, interact, and adapt to dynamic environments in real time;
• AI Ethics and Responsible Innovation – examining the philosophical and regulatory dimensions of AI, including bias mitigation, transparency, and the impact of automation on society;
• Data Science and Big Data Analytics – using statistical models and programming tools to extract insight from large datasets, supporting intelligent decision-making across industries.

Industry Practice

Throughout the program, students dive into hands-on learning experiences that mirror the rapidly evolving, high-impact world of Artificial Intelligence. Partnering with innovation labs, AI startups, and academic research teams, students tackle real-world challenges like image recognition, chatbot design, and predictive modeling. These projects cultivate essential skills in data analysis, algorithmic thinking, and problem-solving through intelligent systems. Access to machine learning environments, neural network visualizers, and cloud-based AI tools allows students to build, train, and deploy beginner-level models with real-world applications.

The program delivers foundational training in the core principles, tools, and ethical dimensions of AI. Students explore how machines can “learn” from data, adapt to new inputs, and automate tasks once thought uniquely human. They gain hands-on experience with essential platforms such as Python, TensorFlow, and scikit-learn, while learning to build algorithms that underpin facial recognition, recommendation engines, and smart assistants.

Career Perspectives

Upon completion of the Bachelor in Artificial Intelligence, graduates emerge as innovative, future-ready professionals equipped to navigate the rapidly evolving landscape of intelligent technologies. They possess a deep understanding of machine learning, data science, and autonomous systems—paired with a strong ethical awareness of AI’s societal impact. This prepares them for impactful roles in tech companies, research labs, startups, AI consultancy, robotics firms, and digital innovation hubs across the globe. Whether developing smart algorithms for personalized healthcare, building autonomous systems for transportation, creating intelligent chatbots for customer engagement, or applying AI to climate modeling and social good, graduates are empowered to design responsible, scalable solutions that shape a smarter, more sustainable future.

Tuition fee