Higher education credits in science and engineering (maximum 240 credits)
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120 credits in science/engineering including 80 credits in computer science and mathematics, of which at least 20 credits in computer science and 30 credits in mathematics. Computer science is to include at least 10 credits programming, 5 credits scientific computing (or numerical methods/numerical analysis) and Database Design I. Mathematics is to include linear algebra and probability and statistics. English language proficiency that corresponds to English studies at upper secondary (high school) level in Sweden ("English 6").
If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.
Application fee: SEK 900
Tuition fee, first semester:
Tuition fee, total:
About the course
This course gives an introduction to the challenges involved in analysis of datasets that are so large that it is no longer possible to handle them using traditional databases and traditional software. Such datasets can for example be generated from experiments and simulations in science or the social sciences. A common problem in large-scale machine learning is to transform and compute features from massive datasets as preprocessing to model training.
The course covers how modern systems are designed to scale well with respect or performance, robustness and economy. It also gives a hands-on introduction to commonly used frameworks. The focus is on batch analysis and on practical use of cloud computing resources.