Machine Learning
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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 real world observations. You will also gain practical experience of how to match, apply and implement relevant techniques from the field to real world problems in a vast range of application domains.The programme starts with compulsory courses in machine learning, artificial intelligence, computer security, an advanced course in machine learning and research methodology which provides an introduction and solid foundation to the field. From the second term the students choose courses from three areas; application domains within machine learning, applied mathematics/statistics, and computer science.The first area describes how machine learning is used to solve problems in particular application domains such as computer vision, information retrieval, speech and language processing, computational biology and robotics. The second area gives the students the chance to take more basic theoretical courses in applied mathematics, statistics, and machine learning.The third area allows the students to deepen their knowledge in theoretical computer science and programming languages.
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Admissions Requirements
Applicants need a bachelor’s degree with a major in Mathematics and Computer Science or equivalent.Applicants from non-anglophone countries should provide proof of English proficiency.The application deadline for non EU applicants is January 15.
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Stockholm
Sweden
114 21
Sweden
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