Data Engineering I, 7.5 credits

Academic year 2021/2022

  • Spring 2022, 50%, Campus

    Start date: 17 January 2022

    End date: 20 March 2022

    Application deadline: 15 October 2021

    Application code: UU-62029 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits in science and engineering (maximum 240 credits)

    Registration: 17 December 2021 – 24 January 2022

Entry requirements: 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. Proficiency in English equivalent to the Swedish upper secondary course 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: SEK 18,125

Tuition fee, total: SEK 18,125

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.

More information


Department of Information Technology

hus 10, Lägerhyddsvägen 1

Box 337, 751 05 UPPSALA


Student Counsellor


Telephone: +46 18 471 31 54