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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 MAISTR

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 offered by Halmstad University 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 the complete list of courses offered are also described on a seperate website: www.maistr.se External link, opens in new window.

Course track: machine learning

Spring 2023

Fundamentals of Computer Vision with Deep Learning, 5 credits (late application)

In this course, the student learns about concepts regarding computer vision, both from a theoretical and practical perspective.

Read more about the course Fundamentals of Computer Vision with Deep Learning

Data-driven Healthcare, 4 credits (late application)

In this course, the student learns about understanding and preparing healthcare data.

Read more about the course Data-driven Healthcare

Machine Learning, 5 credits (late application)

In this course, the student learns about the basics of machine learning.

Read more about the course Machine Learning

Autumn 2023

This course aims to provide a broad introduction to Bayesian statistics and its use in machine learning.

Smart healthcare with applications External link., 4 credits (application not open)

The goal of the course is for the student to be introduced to artificial intelligence and machine learning, as well as a number of user cases in information-driven healthcare.

Applied deep learning with PyTorch External link., 5 credits (application not open)

The main content of the course deals with techniques for analysing, creating and implementing models for deep learning.

Course track: human-centered design

Spring 2023

Introduction to Human-centered Design for AI, 5 credits (late application)

The course introduces a human-centered design perspective where different AI technologies affect the user experience and organisation.

Read more about the course Introduction to Human-centered Design for AI

User Experience Design for AI, 3 credits (late application)

The course introduces the many challenges and possibilities that appear when designing user experiences.

Read more about the course User Experience Design for AI

Service Design Based on Data Analytics, 3 credits (late application)

The goal of the course is to create an understanding for how data and algorithms can affect business strategies and service design.

Read more about the course Service Design Based on Data Analytics

Autumn 2023

Design for extended realities External link., 3 credits (application not open)

The course introduces the challenges and opportunities that extended reality, mixed reality and virtual reality (collectively called extended reality) bring to the design of services and experiences.

The aim of the course is to introduce critical and ethical issues concerning data and society in order to educate the student to problematise and reason about artificial intelligence (AI).

Course track: innovation management

Spring 2023

AI and Business Development, 4 credits (late application)

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

AI and Innovation Management, 3 credits (late application)

The course helps the student develop their knowledge and ability to discuss how AI can be connected to innovation in business situations.

Read more about the course AI and Innovation Management

AI and Data Strategy, 5 credits (late application)

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

Read more about the course AI and Data Strategy

Autumn 2023

AI Implementation External link., 3 credits (application not open)

The aim of the course is to develop the student’s knowledge of planning, implementation and adaptation of AI, as well as the challenges and barriers that organisations usually face when implementing and adapting AI to their operations.

The goal of the course is for the student to develop their knowledge and ability in practical skills and theoretical competence in how and why artificial intelligence (AI) affects companies
business models and the design of ecosystems in relation to innovation and industrial change.

Contact MAISTR

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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