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

Utbildningsinformation från den publicerade källan. Utbildningen och dess tidsbundna tillfällen hålls åtskilda.

Utbildningsfakta

Kod: TDA2M

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.

Behörighet

*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.

Utbildningstillfällen

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Källa och uppdatering

Skolverket Susa-navet

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Visa källversion

Publiceringsversion: 8e217193-f5fa-4778-b085-a4521fd03e8d

Kontrollsumma: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Senast ändrad enligt källan: 2026-01-14T13:04:10