MSc in Machine Learning
KTH Royal Institute of Technology

Brinellvägen 8, 114 28 Stockholm, Sweden
SEK 360,000.00
SEK 90,000.00
SEK 90,000.00
SEK 900.00
2 Years
Course Overview
The Machine Learning program at KTH provides deep learning in the mathematical and statistical methods essential for understanding machine learning. You will learn how to model data and discover patterns from real-world observations. Practical experience will help you apply these techniques to solve diverse problems in various industries. By the end of the program, you will be ready to tackle complex, non-standard learning problems with confidence and efficiency. The program starts with core courses in machine learning and artificial... Read more
The Machine Learning program at KTH provides deep learning in the mathematical and statistical methods essential for understanding machine learning. You will learn how to model data and discover patterns from real-world observations. Practical experience will help you apply these techniques to solve diverse problems in various industries. By the end of the program, you will be ready to tackle complex, non-standard learning problems with confidence and efficiency. The program starts with core courses in machine learning and artificial intelligence, followed by an advanced course in research methodology. As you progress, you will specialize in application domains (e.g., computer vision, robotics, speech processing) or theoretical machine learning. Through cutting-edge courses, you will also explore deep learning and generative AI. In the final semester, you will complete a degree project, gaining hands-on experience in academic or industrial research. Graduates are prepared for work in a vibrant tech environment, including companies like Spotify, Huawei, and Ericsson. This two-year program, taught in English, awards a Master of Science degree and offers up to 30 ECTS credits in electives.
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Career Opportunities
The demand for professionals skilled in Machine Learning, Artificial Intelligence, and Deep Learning is rapidly growing. As more data becomes available, industries need experts who can analyze and model this data. After graduation, you can pursue a career in software development, data science, or machine learning engineering. Graduates from this program work at leading companies like Google, McKinsey, and Logitech across countries like Sweden, Germany, and the US. This master's program also provides a solid foundation for research roles in industry and academia, with opportunities to continue into doctoral studies. As a graduate, you will be equipped to contribute to sustainable development... Read more
The demand for professionals skilled in Machine Learning, Artificial Intelligence, and Deep Learning is rapidly growing. As more data becomes available, industries need experts who can analyze and model this data. After graduation, you can pursue a career in software development, data science, or machine learning engineering. Graduates from this program work at leading companies like Google, McKinsey, and Logitech across countries like Sweden, Germany, and the US. This master's program also provides a solid foundation for research roles in industry and academia, with opportunities to continue into doctoral studies. As a graduate, you will be equipped to contribute to sustainable development by using AI for good, with applications ranging from personalized medicine to efficient farming. Students complete a Degree Project in the final year, often related to key global challenges like healthcare or sustainable cities. Past projects have focused on SDGs such as "Good Health and Well-being" and "Sustainable Cities and Communities," making a real-world impact with Machine Learning and Data Modeling skills.
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Course Summary
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Brinellvägen 8, 114 28 Stockholm, Sweden
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2 Year's Post Graduation (PG)
Program Length -
Available Intakes
Sep
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SEK 360,000.00/Year
Tuition Fees -
Minimum Deposit
SEK 90,000.00 -
Scholarship
SEK 90,000.00 -
SEK 900.00/Year
Application Fees -
SEK 123,768.00/Year
Living Cost
University
Admission Requirements
Academic Requirements
Minimum Level of Education Completed
Bachelor
Minimum Mark (%) OR Minimum CGPA
Mark:60% OR CGPA:2.50