Advanced Energy Systems and AI (InnoEnergy)
The Master of Science in Advanced Energy Systems and AI (InnoEnergy) at KTH Royal Institute of Technology is a two-year, full-time program that combines the latest advancements in energy systems with artificial intelligence (AI) to develop innovative solutions for sustainable energy production and consumption. The program focuses on integrating AI techniques into energy systems for optimization, predictive analytics, and smart grid management. Students will study renewable energy technologies, energy storage, and AI-driven decision-making systems, preparing them to lead the transformation of the global energy landscape.
Graduates of this program are well-prepared for careers in AI-powered energy optimization, renewable energy integration, and smart grid technology. The strong partnership with InnoEnergy provides students with access to industry networks, cutting-edge research, and real-world projects, positioning them at the forefront of the energy sector’s digital and sustainable future.
Key Facts
Key Facts
- Program Title: Advanced Energy Systems and AI (InnoEnergy)
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 June 2026
- Location: KTH Royal Institute of Technology, Sweden
- Field of Study: Energy Engineering
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Advanced Energy Systems and AI
• Introduction to Advanced Energy Systems
• Artificial Intelligence for Energy Applications
• Energy Management and Optimization
• Research Methods in Energy Systems and AI
Semester 2 – Advanced Energy Systems and AI
• Smart Grids and Energy Storage Technologies
• Machine Learning and Data Analytics in Energy Systems
• Power Electronics for Energy Systems
• Elective Modules in Energy Systems and AI
Semester 3 – Specialized Energy Systems and AI
• AI-based Energy Efficiency and Sustainability
• Renewable Energy Systems and Artificial Intelligence
• Advanced AI in Smart Cities and Energy Networks
• Fieldwork/Research Project in Advanced Energy Systems
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Energy Systems and AI
• Final Presentation & Research Evaluation
Career Opportunities
Graduates of the Master of Science in Advanced Energy Systems and AI (InnoEnergy) program are highly sought after in energy systems, artificial intelligence, and renewable energy sectors. They can pursue roles such as energy systems engineer, AI consultant, renewable energy project manager, and data scientist. The program’s focus on integrating AI with energy systems opens career opportunities in tech companies, energy firms, and research institutions working on AI-driven energy solutions.
Why Choose This Program
The Master of Science in Advanced Energy Systems and AI (InnoEnergy) program combines cutting-edge energy technologies with artificial intelligence. Students learn how to develop AI-based models to optimize energy systems and integrate renewable energy sources. The program’s interdisciplinary approach equips graduates to solve complex challenges in the energy sector, making them well-prepared for leadership roles in energy innovation and AI applications for sustainability.
Contact Information
For further information, please contact the admissions office at:
Phone: +46 8 790 60 00
Email: info@kth.se
Address: KTH Royal Institute of Technology, Brinellvägen 8, 114 28 Stockholm, Sweden
