Master in Machine Learning
Machine Learning is a scientific discipline focused on the development of algorithms that spot patterns or make predictions from empirical data.
Already such algorithms have allowed computers to answer these questions: "Where are the faces in this photo?" and "Can you recommend a movie for me to watch?" In layman's terms, the relationship between data and predictions/patterns is learnt by examining a large quantity of relevant example information. This idea has become central to the design of search engines, robots and sensor systems which process large data sets.
In this programme you will learn the mathematical and statistical foundations and methods for Machine Learning and become comfortable manipulating them to solve questions. You will also gain practical experience of how to match, apply and implement relevant techniques from the field to real world problems. Therefore, the programme provides the students with both the theoretical tools and practical know- how of machine learning, and this is an excellent basis for either a career within industry or further advanced studies.
The first semester is devoted to compulsory courses and provides an introduction and solid foundation to the field. Afterwards, students can focus on one of two tracks:
- Applied Machine Learning
- Computational Biology
- The final semester is dedicated to a degree project.
The second year of study culminates in a degree project. The purpose of this project is for the student to demonstrate the ability to perform independent project work, using the skills obtained from the courses in the programme.
The demand for engineers and scientists with knowledge in Machine Learning is growing as the amount of data in the world grows. Machine Learning is widely used in applications where sensor data is processed – automatic speech processing, computer vision or radar signal processing – and in areas where information is retrieved from large amounts of data. Internet search is the most obvious of this latter application. But large datasets occur in many domains, such as economics, medicine, meterology, geoscience, and astronomy. The fields of computer vision, speech technology and information retrieval also exploit ideas from Machine Learning and KTH has research groups in these areas.
This Master's programme is a suitable basis for work in a research and development department in industry, as well as for a continued research career in any of these areas.
Last updated May 27, 2016