50業子

Machine Learning develops algorithms to find patterns or make predictions from empirical data and this master’s programme will teach you to master these skills.

Machine Learning is increasingly used by many professions and industries such as manufacturing, retail, medicine, finance, robotics, telecommunications and social media. Graduates from the programme will be experts in the field, qualified for exciting careers in industry or doctoral studies.

Machine Learning at KTH:

In this programme, 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 in matching, applying and implementing 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 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.

The programme starts with mandatory courses in machine learning and artificial intelligence to provide an introduction to the field and a solid foundation. These courses are followed by an advanced course in machine learning and research methodology. From the second semester, you choose courses from two areas: application domains exploiting machine learning and theoretical machine learning. These areas correspond to the core competencies of a machine learning expert.

The programme also has up to 30 ECTS credits of elective courses which you can choose from a wide range of courses to specialise further in your field of interest or extend your knowledge to new areas.

This is a two year programme (120 ECTS credits) given in English. Graduates are awarded the degree of Master of Science. The programme is given mainly at KTH Campus in Stockholm by the School of Electrical Engineering and Computer Science (at KTH).

Career:

The demand for engineers and scientists with knowledge of 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.