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Uppsala University

Master's Programme in Data Science - Machine Learning and Statistics

Companies such as Netflix, Amazon and Spotify collect user data to generate predictions and recommendations. To analyse data produced by large-scale scientific experiments, advanced machine learning algorithms and data engineering platforms are needed. Many of the societal challenges facing us, such as social welfar…

  • Higher education
  • Information unavailable
  • 31 August 2026
  • Information unavailable
  • Information unavailable
  • 100 %

Overview

Companies such as Netflix, Amazon and Spotify collect user data to generate predictions and recommendations. To analyse data produced by large-scale scientific experiments, advanced machine learning algorithms and data engineering platforms are needed. Many of the societal challenges facing us, such as social welfare, climate, health, democracy or security, require the use of data-driven methods and AI. In all these examples, a single profession plays a pivotal role in turning information into insight: the data scientist. The Master's Programme in Data Science has three specialisations. The specialisation in Machine Learning and Statistics will provide you with the knowledge, tools and skills to succeed in a wide range of different positions that involve the analysis of large amounts of data. This specialisation provides the general skills needed by a data scientist, as well as advanced skills in machine learning, reinforcement learning, computer-intensive statistics, and selected mathematical topics in Data Science. Uppsala University offers a rich and vital research environment in data science, with a large number of researchers from several different institutions. The language of instruction is English.

Admission scores

Uppgift saknasVerified data is not connected to this education offering.

Entry requirements

*Academic requirements* A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. Also required is: - 80 credits in computer science and mathematics; - 15 credits in computer science including 10 credits in programming; - 30 credits in mathematics including 5 credits in linear algebra, 5 credits in several variable calculus and 5 credits in statistics and probability. *Language requirements* Proficiency in English equivalent to the Swedish upper secondary course English 6. This requirement can be met either by achieving the required score on an internationally recognised test, or by previous upper secondary or university studies in some countries.

The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.

Source, measure and data quality
Source
Skolverket Susa-navet
Period
2026-08-31
Measure
Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
Population
Education offering e.uoh.uu.tda2m.m1151.20262
Last checked
2026-09-23T10:39:53.117105+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

Uppgift saknasVerified data is not connected to this education offering.

Study structure

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Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

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Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

Uppgift saknasVerified data is not connected to this education offering.

Completion and outcomes

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About the provider

Uppsala University

Provider for the published education offering.

Sources and data quality

Education facts for the selected offering come from Skolverket Susa-navet.

Retrieved . Published . Times are shown in Swedish local time.

Source identity and publication version
Publication version
8e217193-f5fa-4778-b085-a4521fd03e8d
Education identity in the source
i.uoh.uu.tda2m.m1151.20262
Offering identity in the source
e.uoh.uu.tda2m.m1151.20262
Education-form source code
HS
Education code in the source
TDA2M
Change time according to the source
2025-10-13T20:51:49

The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.