Machine Learning, Systems and Control
The Master of Science in Machine Learning, Systems and Control (Artificial Intelligence) is a two-year, full-time on-campus program that focuses on advanced methods for intelligent systems, automation, and data-driven decision-making. The program covers key areas such as machine learning algorithms, control theory, robotics, optimization, and systems modeling. Students develop a strong understanding of how autonomous systems are designed, analyzed, and implemented in real-world applications.
Graduates are well-prepared for careers in machine learning engineering, robotics development, and AI systems design within technology companies, research institutions, and industrial automation sectors. The program emphasizes strong intelligent systems and control engineering, equipping students with the analytical and technical skills needed to develop advanced AI-driven solutions for complex dynamic systems.
Key Facts
Key Facts
- Program Title: Machine Learning, Systems and Control
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2027
- Location: Lund University, Sweden
- Field of Study: Artificial Intelligence
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Machine Learning
• Introduction to Machine Learning
• Linear Algebra for Data Science
• Probability and Statistics
• Research Methods in Machine Learning
Semester 2 – Advanced Machine Learning Techniques
• Neural Networks and Deep Learning
• Reinforcement Learning
• Control Theory and Systems Engineering
• Elective Modules in Machine Learning
Semester 3 – Specialized Systems and Control
• Adaptive Control Systems
• Machine Learning for Robotics
• Predictive Modeling and Control
• Fieldwork/Research Project in Machine Learning
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Systems and Control Techniques
• Final Presentation & Project Evaluation
Career Opportunities
Graduates of the Machine Learning, Systems and Control Master’s program are highly valued in artificial intelligence, systems engineering, and robotics. With expertise in machine learning algorithms, control systems, and automated decision-making, graduates can pursue roles as machine learning engineers, control systems designers, data scientists, or robotics engineers. The rapid growth of AI applications in various industries ensures strong career prospects in tech companies, robotics firms, and research institutions.
Why Choose This Program
Machine Learning, Systems and Control program focuses on machine learning, automated systems, and control theory. Students will gain in-depth knowledge of machine learning algorithms, system modeling, and automation technologies. The program prepares graduates for careers in AI, robotics, and systems control, equipping them with the skills to design and optimize intelligent systems in diverse industries.
Contact Information
For further information, please contact the admissions office at:
Phone: +46 46 222 00 00
Email: info@lu.se
Address: Lund University, Paradisgatan 2, 221 00 Lund, Sweden
