Artificial Intelligence

Become a future-shaping AI expert with Satakunta University of Applied Sciences’ innovative Bachelor of Engineering in Artificial Intelligence. This four-year, full-time program equips you with the technical expertise and practical skills to design, develop, and implement intelligent systems that are transforming our world.

Develop a Strong Foundation in AI: Gain a comprehensive understanding of core AI concepts like machine learning, deep learning, computer vision, natural language processing, and robotics. Learn the mathematical and algorithmic principles underlying these technologies.

Master Programming Skills: Develop proficiency in programming languages like Python and R, essential for building and manipulating AI models. Gain experience with industry-standard AI frameworks and libraries like TensorFlow and PyTorch.

Focus on Practical Applications: The program emphasizes a hands-on learning approach. You’ll work on real-world AI projects throughout your studies, applying your knowledge to solve problems in various domains like healthcare, manufacturing, finance, and more.

Project-Based Learning: Develop your problem-solving and teamwork skills through collaborative AI projects. Work on real-world case studies with industry partners, gaining valuable experience in applying AI solutions to practical challenges.

Interdisciplinary Approach: Explore the ethical considerations and societal implications of AI. The program integrates insights from fields like computer science, mathematics, data science, and engineering, preparing you for the complex world of AI development.

Professional Preparation: Gain the knowledge and skills necessary to launch your career in the booming field of AI. Learn about career opportunities, resume writing, and interview techniques. Develop strong communication and collaboration skills to effectively work in an AI development team.

Graduates emerge as versatile AI engineers prepared for diverse careers in various fields, including:

• Machine learning engineer
• Deep learning engineer
• Computer vision engineer
• Natural language processing engineer
• Robotics engineer
• AI research and development
• Data science roles with a focus on AI
• Working within AI-driven startups or established companies in various sectors