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6 Machine Learning Degree Programs in Sweden
Promoted
Blekinge Institute of Technology
Master’s Programme in Machine Learning, Sensors and Systems (120 credits)
- Karlskrona, Sweden
Master degree
Full time
2 years
On-Campus
English
The Master’s programme in Machine Learning, Sensors and Systems equips you with advanced technical expertise, focusing on intelligent systems. The programme combines subjects from electrical engineering and computer science – a combination that is becoming increasingly important as technology grows more complex and integrated.
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Linköping University
MSc in Statistics and Machine Learning
- Linköping, Sweden
MSc
Full time
4 semesters
On-Campus
English
Unleash the power of data and statistics to make the right decisions happen. We integrate statistical modeling and analysis with machine learning, data mining, and data management to give you unique skills.
KTH Royal Institute of Technology
MSc Machine Learning
- Stockholm, Sweden
MSc
Full time
2 years
On-Campus
English
The MSc Machine Learning develops algorithms to find patterns or make predictions from empirical data, and this master’s programme will teach you to master these skills. Graduates from the programme will be experts in the field, qualified for exciting careers in industry or doctoral studies.
KTH Royal Institute of Technology
MSc Machine Design
- Stockholm, Sweden
MSc
Full time
2 years
On-Campus
English
The MSc Machine Design puts you at the forefront of shaping machines and technologies that drive our world forward. From concepts to real-world applications, you will explore the latest methods in mechanical systems design, learning to innovate, analyse, design, and optimise everything.
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Blekinge Institute of Technology
Master’s Programme in AI and Machine Learning (120 credits)
- Karlskrona, Sweden
Master degree
Full time
2 years
On-Campus
English
The Master's Programme in AI and Machine Learning is a two-year programme that provides you with in-depth knowledge in data science and intelligent systems. You will learn about the technologies and methods behind today’s – and tomorrow’s – smart systems. The programme combines theory with practice, giving you both a strong academic foundation and the ability to develop technical solutions that meet the challenges of the future.
Lund University
MSc in Machine Learning, Systems and Control
- Lund, Sweden
MSc
Full time
2 years
On-Campus
English
The amount of available data in the world is exploding and advanced algorithms are used to extract information for use in applications such as self-driving cars, optimised manufacturing, improved healthcare and more energy-efficient systems. With world-leading researchers and multi-institutional collaboration, students can focus on several subject areas, including machine learning, control systems, image analysis, artificial intelligence and robotics. Demand for experts with knowledge in advanced algorithms who can analyse large datasets in a wide range of applications, combining methods of statistical analysis, mathematics, signal processing, image analysis and control theory is growing, meaning an optimistic job market for graduates.
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Learn more about Machine Learning degree programs in Sweden
Machine Learning degree programs delve into the powerful intersection of data and algorithms, preparing you to tackle complex problems across various sectors. These programs in Sweden encourage a hands-on approach, emphasizing practical applications that drive innovation.
Through courses focused on neural networks, natural language processing, and data mining, you’ll gain the expertise to design and implement machine learning models. Students build confidence as they engage with real-world datasets and collaborate on projects that simulate industry challenges. Expect to develop proficiency in statistical analysis techniques and programming for machine learning applications.
In Sweden, the tech industry's emphasis on sustainability and innovation opens doors to globally relevant career paths. Graduates often pursue positions in data science, AI development, or research, where they apply their skills in diverse environments. The study environment fosters independence and encourages curiosity, ensuring that you not only learn but also apply your knowledge creatively in the field.