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Lund University

Master's Programme in Machine Learning, Systems and Control

<p>The amount of available data in the world is rapidly expanding. This programme prepares you for a flexible, future-proof career in a field where advanced algorithms are used to analyse large datasets across a wide range of applications.</p><p>In this master’s programme you get to explore how data-driven methods c…

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

Overview

<p>The amount of available data in the world is rapidly expanding. This programme prepares you for a flexible, future-proof career in a field where advanced algorithms are used to analyse large datasets across a wide range of applications.</p><p>In this master’s programme you get to explore how data-driven methods can be applied in a variety of fields such as self-driving cars, healthcare, energy optimisation, and manufacturing. You will learn how to combine techniques from statistical analysis, mathematics, signal processing, image analysis, and control theory to extract insights from large and complex datasets. </p><p>The programme is offered by LTH, Lunds Tekniska Högskola (The Faculty of Engineering at Lund University). It is a collaboration between the departments of Mathematics, Automatic Control, Computer Science and Electrical and Information Technology. Research and education are closely linked, and the four departments have a long tradition of successful cooperation. </p><p>Next to the faculty is Ideon Science Park, a lively environment with a long tradition of innovation in software, internet of things, telecommunication, energy and new materials.</p><p> </p><p> </p>

Admission scores

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Entry requirements

A Bachelor's degree in science, technology, engineering, mathematics (STEM) or equivalent. Completed courses in mathematics (linear algebra, calculus in one and several variables, transforms and linear filtering) of at least 30 credits/ECTS as well as one completed course in mathematical statistics, one in computer programming or computer science and one in control engineering. English 6.

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.lu.tamsr.18935.20262
Last checked
2026-09-23T10:38:33.477975+00:00
Limitation
Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.

Programme content

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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

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Completion and outcomes

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About the provider

Lund 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.lu.tamsr.18935.20262
Offering identity in the source
e.uoh.lu.tamsr.18935.20262
Education-form source code
HS
Education code in the source
TAMSR
Change time according to the source
2026-02-10T09:10:00

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.