|Degree:||Master of Science (MSc)|
Data Science & Big Data
|University website:||Data Science and AI|
|Annual tuition (EEA)||0 SEK|
|Annual tuition (non-EEA)||140,000 SEK|
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The digital revolution has seen data science and AI become crucial elements of everyday life. Machine learning, and the technologies and methodologies for processing enormous amounts data are also creating a wealth of new opportunities. Consequently, skilled data scientists and AI engineers are in huge demand in all manner of situations. This programme will offer you a solid foundation in machine learning, resulting in a fantastically wide range of options after graduation.
Data science is a highly cross-disciplinary field, using data to gain deeper understanding and insight to support decision making. Applications are numerous, from the natural sciences and healthcare to business and finance. Relevant computational methods include algorithms for collecting and handling large-scale data, statistical methods such as Bayesian modelling, and machine learning techniques such as deep neural networks.
AI is concerned with designing and building intelligent systems. Recent advances have brought the field to the next level, and it is currently undergoing rapid changes. Machine learning techniques within AI enable computers to perform complex tasks they have not been explicitly programmed to do — successful examples of this include machine translation, computer vision, game playing and self-driving vehicles.
This programme educates engineers to undertake a wide variety of challenges in handling and analysing different kinds of data, using and developing software in complex data-intensive and AI-related applications. An excellent understanding of both theory and practice is required, including the possibilities and limitations of existing and evolving technologies, and how to apply these responsibly.
The programme will provide a solid foundation in machine learning, statistics, and optimisation, with an in-depth understanding of the mathematical modelling techniques needed to extract useful information from vast quantities of complex datasets, and the computational skills and algorithms necessary to work with them. You will also gain familiarity with a range of common problems within data science and AI which can be solved with such techniques.
You will gain an understanding of how and why certain models and algorithms work and be able to identify the opportunities and possibilities they offer, combining new and existing methods to create efficient solutions to real-world problems. You will be able to continuously learn in these rapidly evolving fields, communicating with experts and laypeople alike in specific problem domains. You will also gain the insight necessary to understand and influence the future roles of data science and AI in wider society. This programme will be your ticket to a huge range of opportunities in a dynamic, thrilling and fast-evolving field.
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