24 monthsProgramme duration
185,000 SEKTuition Fee/year
AugStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Master's
Study Mode
On Campus
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.
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.
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.
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.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
Other
Study Level
Master's
Study Mode
On Campus
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.
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.
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.
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.
Admission Requirements
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
International
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