Data Engineering I

Education facts

Code: 1TD169

This course gives an introduction to the challenges involved in the 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 transforming and computing 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 the practical use of cloud computing resources.

Entry requirements

120 credits in science/engineering including 50 credits in computer science and mathematics, of which at least 20 credits in computer science and 20 credits in mathematics. Computer science is to include at least 10 credits programming and participation in Database Design I. Mathematics is to include linear algebra and probability and statistics. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Data Engineering I

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 21 March 2027

  Pace of study: 33 %