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Data Analytics and Service Innovation based on Artificial Intelligence (MAISTR)

The MAISTR programme is directed towards professionals for continued education in AI (specifically Machine Learning), and business and service design based on AI.

About the programme

All MAISTR courses are given online and in English. As a participant, you can choose to study the entire programme or individual courses. There are three course tracks within MAISTR: machine learning, human-centered design and innovation management.

MAISTR

MAISTR (Data Analytics and Service Innovation based on Artificial Intelligence) is an educational programme on advanced level. The programme will include a total of 26 courses where each course is 3, 4 or 5 credits. The first courses will be given in the spring of 2022 and the rest of the courses will be developed gradually. You can choose to study the entire programme or individual courses. The programme is flexible and can be carried out at the same time as an ongoing professional career. MAISTR has unique aspects by combining courses on AI, human-centered design and innovation management.

Created in collaboration with the industry

Halmstad University, University of Skövde, Blekinge Institute of Technology (BTH) and RISE are known for performing high quality AI research in collaboration with industry, as well as delivering campus-based education in the fields of AI, Design and Innovation management. Coming from this background, the universities decided to develop the educational programme MAISTR. The programme consists of 26 courses on advanced level in the fields of AI, design and innovation management with a flexible format that is suited for professionals. MAISTR is a so called ”Expert competence programme” financed by the Swedish Knowledge foundation. The initiative is supported and co-developed by about a dozen Swedish industrial partners.

Apply at antagning.se

All courses within MAISTR are listed here on Halmstad University webb. The courses require application at antagning.se and course registration, follow the link on each course page. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se.

The MAISTR programme and courses are also described on a seperate website: www.maistr.se External link, opens in new window.

Course track: machine learning

Autumn 2022

Smart Healthcare with Applications, 4 credits

The course gives a general introduction to information-driven care, challenges, applications, and opportunities.

Read more about the course Smart Healthcare with Application

Bayesian Statistics for Machine Learning, 3 credits

In this course the student will learn the basic Bayesian concepts and Bayesian deep neural network.

Read more about the course Bayesian Statistics for Machine Learning

Applied Deep Learning with PyTorch, 5 credits

In this course the student will learn about the analysis, design, and programming of deep learning algorithms.

Read more about the course Applied Deep Learning with PyTorch

Course track: human-centered design

Autumn 2022

Critical design: Practical ethics for AI, 3 credits

The course introduces the student to critical and ethical issues surrounding data and society, to train the student to problematize and reason about artificial intelligence (AI).

Read more about the course Critical design: Practical ethics for AI

Designing for extended realities, 3 credits

The course introduces and explores the design of augmented realities from different perspectives within XR (extended reality).

Read more about the course Designing for extended realities

Course track: innovation management

AI and Business Development, 4 credits

Track within MAISTR: innovation management

The course introduces how AI affects the company's business and how innovative processes, industries and value chains are organised.

Read more about the course AI and Business Development

Institutions, Data Access and Use, 5 credits

Track within MAISTR: innovation management

The course introduces institutional, industrial, and organizational factors that are relevant for AI data access and coordination.

Read more about the course Institutions, Data Access and Use

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What does a participant have to say?

Kvinna tittar in i kameran och ler. Foto.

Britta Duve Hansen

Britta Duve Hansen is a mathematician and works as a solutions architect at the municipality of Lund. She attended the MAISTR programme at Halmstad University during the spring of 2019:

”I use the concepts that we talk about during the programme in my daily work, but I have no education in the subject. Therefore, I wanted to get the academy's and research's view on how to design for AI and machine learning. At Lund municipality we have a team with UX and service designers. It is important that we, who work with IT architecture, also have knowledge in the area so that we can use the same vocabulary. During the MAISTR programme, we meet one day a month in Halmstad, which is a good arrangement that can easily be integrated with working life.”

”AI is a transforming technology, and industries in many sectors need to step up their competence in this area to maintain competitiveness. This does not mean just the technology side of AI, which traditionally has been the focus of education in Sweden, but also for how services are built on AI.”

Stefan Byttner, project leader of MAISTR

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