MSc Aprendizado de Máquina

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 first grouping of courses describes how machine learning is used to solve problems in application domains such as computer vision, information retrieval, speech and language processing, computational biology and robotics. The second course grouping allows you to take more basic theoretical courses in applied mathematics, statistics, and machine learning. Of particular interest to many will be the chance to learn about and understand in detail the exciting field of deep learning through several state-of-the-art courses.

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.

The final semester is dedicated to a degree project which involves participating in advanced research or design projects in an academic or industrial environment, in Sweden or abroad. With this project, you get to demonstrate your ability to perform independent project work, using the skills obtained from the courses in the programme. In the past, students from the programme have completed projects at companies such as Saab, Elekta, Flir, Eriksson, Tobii, Spotify, Thales, Huawei.

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).

KTH Royal Institute of Technology in Stockholm is one of Europe’s leading technical universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers, and faculty from around the world dedicated to advancing knowledge.

History

KTH is a university with a rich history of pioneering ideas and innovation that dates back to 1827. For nearly 200 years KTH has educated students who have gone on to influence our present and make the technological advances that define modern society. Still today, KTH shapes the talents that will find the solutions for tomorrow’s challenges.

Research

KTH is working with industry and society in the pursuit of sustainable solutions to some of humanity’s most significant challenges: climate change, future energy supply, urbanisation, and quality of life for the rapidly-growing elderly population. We are addressing these with world-leading, high-impact research and education in natural sciences and all branches of engineering, as well as in architecture, industrial management, urban planning, history, and philosophy. Almost two-thirds of the SEK 4 billion turnovers are related to research.

Basic and applied research is performed side-by-side at KTH and interdisciplinary research is conducted in parallel with work in specific fields.

Career

KTH maintains close relationships with an expanding network of international companies and the industrial community in a number of fields, and working and studying here provides access to this network.

The latest career report shows that 94 percent of those who graduated from KTH 2010-2012 have been employed since they finished their degree and a remaining 6 percent have gone on to Ph.D. studies. Of the international student population, 30 percent go on to Ph.D. studies at KTH or other renowned universities. 32 percent of KTH Alumni leave Sweden for work or studies abroad. 13 percent lead others in their work, and 13 percent have already received their first managerial position.