KTH Royal Institute of Technology
Overview
OverviewIn this Machine Learning programme at KTH Royal Institute of Technology, you will learn the mathematical and statistical foundations and methods for machine learning with the goal of modelling and discovering patterns from observations. You will also gain practical experience of how to match, apply and implement relevant machine learning techniques to solve real-world problems in a broad range of application domains. Upon graduation from the programme, you will have gained the confidence and experience to propose tractable solutions to potentially non-standard learning problems which you can implement efficiently and robustly. Stockholm has both a vibrant start-up community and large established companies integrating AI and Machine Learning into their technological development. This gives you the potential for relevant and exciting industrial work within the field during and after your studies. To provide an introduction to the field and a solid foundation the programme starts with compulsory courses in machine learning and artificial intelligence. These courses are followed by an advanced course in machine learning and research methodology. From the second semester, students choose courses from within two areas: application domains exploiting machine learning and theoretical machine learning. These areas correspond to the core competencies of a machine learning expert.CareerThe demand for engineers and scientists with knowledge in Machine Learning is growing as the amount of data in the world increases. After graduation, you can pursue a career in industry, at a start-up or in a traditional well-established company. Possible titles are software developer, deep learning engineer, computer vision engineer, data analyst, software engineer, quantitative analyst, data scientist, and systems engineer in companies such as Dice, Logitech, Google, and McKinsey in, for example, Sweden, Switzerland, Germany, China, India, and the US.This master's programme is also a suitable basis for work in a research and development department in industry, as well as for a continued research career, and doctoral studies. I want to find another Master Course
About this programme
Overview
The Machine Learning program at KTH Royal Institute of Technology equips students with the mathematical and statistical principles necessary for effective machine learning. This course emphasizes modeling and identifying patterns from data, while also providing hands-on experience in selecting and applying relevant machine learning techniques to address real-world challenges across various sectors.
Graduates will emerge with the expertise to devise practical solutions to complex learning issues, ensuring their implementations are both efficient and reliable. With Stockholm's thriving start-up ecosystem and established companies actively integrating AI and machine learning into their operations, students have ample opportunities for engaging industry work during and after their studies.
What you'll study
The program begins with essential courses in machine learning and artificial intelligence, establishing a robust foundation in the field. Students then progress to advanced coursework and research methodologies in machine learning. From the second semester onward, participants can choose from specialized courses in application domains that leverage machine learning or delve deeper into theoretical aspects, aligning with the core competencies of a machine learning specialist.
Entry requirements
Applicants are expected to meet specific academic criteria, demonstrating a strong background in mathematics and programming. Proficiency in English is also necessary to ensure successful communication and understanding throughout the course.
Career prospects
The demand for professionals skilled in machine learning continues to rise in response to the exponential growth of data globally. Graduates can pursue diverse career paths in various industries, including roles such as software developer, deep learning engineer, computer vision engineer, data analyst, and data scientist. Opportunities abound in companies across the globe, providing a platform for innovation and practical application of machine learning skills.
This master's program also serves as an excellent foundation for those interested in research and development positions or pursuing further studies at the doctoral level.
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