Machine Learning
The Master of Science in Machine Learning at KTH Royal Institute of Technology is a two-year, full-time program that provides students with a deep understanding of the principles and techniques behind machine learning algorithms and their applications across a wide range of fields. The program covers essential topics such as supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning. Students will gain both theoretical insights and hands-on experience in applying machine learning to real-world problems, preparing them to innovate in areas such as data science, AI-driven solutions, and predictive analytics.
Graduates of this program are well-prepared for careers in data science, AI development, and machine learning research. KTH Royal Institute of Technology’s strong emphasis on research, combined with industry collaborations, ensures that students have access to cutting-edge technologies and real-world projects, equipping them to become leaders in the rapidly growing field of machine learning.
Key Facts
Key Facts
- Program Title: Machine Learning
- Degree Type: Master of Science
- Duration: 2 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 January 2027
- Location: KTH Royal Institute of Technology, Sweden
- Field of Study: Machine Learning
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Machine Learning
• Introduction to Machine Learning Algorithms
• Supervised and Unsupervised Learning
• Probability and Statistics for Machine Learning
• Research Methods in Machine Learning
Semester 2 – Advanced Machine Learning
• Deep Learning and Neural Networks
• Reinforcement Learning and AI
• Natural Language Processing and Computer Vision
• Elective Modules in Machine Learning
Semester 3 – Specialized Machine Learning
• AI for Data Science and Predictive Analytics
• Machine Learning for Autonomous Systems
• Ethics and Fairness in AI and Machine Learning
• Fieldwork/Research Project in Machine Learning
Semester 4 – Master’s Thesis & Final Project
• Independent Research / Thesis
• Advanced Topics in Machine Learning
• Final Presentation & Research Evaluation
Career Opportunities
Graduates of the Master of Science in Machine Learning program are highly sought after in AI development, data science, and technology innovation. They can pursue roles such as machine learning engineer, data scientist, AI consultant, and research scientist. The growing application of machine learning across industries like healthcare, finance, and robotics ensures excellent career prospects for graduates in academia, tech companies, and AI-driven industries.
Why Choose This Program
The Master of Science in Machine Learning program focuses on the theory and application of machine learning algorithms. Students learn how to develop predictive models, optimize algorithms, and apply machine learning techniques to solve real-world problems. The program prepares graduates for cutting-edge roles in artificial intelligence, providing them with the knowledge to lead AI-driven innovations in various industries.
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
