Master's Programme in Information Technology - Data Science, AI and Machine Learning
As an information technologist, you can help solve many of society’s future challenges in, for example, autonomous vehicles and health care. This master’s programme develops your knowledge of information technology with a special focus on data science, machine learning, and artificial intelligence.
Education occasions
Application open
About the education
Innovative environments, methods and tools
The education at Halmstad University is characterised by our profiling as a university that drives innovation. This program is strongly linked to the University's research in AI and machine learning. The focus is on the development of digital services based on knowledge extracted from data.
Part of the programme is carried out together with master’s students in informatics. This gives you an interdisciplinary perspective and the opportunity to develop technical solutions that match existing needs in society.
Courses and competencies in focus
In the Master’s programme in Information Technology, you develop theoretical and practical skills for research, development and implementation of computer technology. The basis of the programme is a technical, software-based perspective on information technology in close collaboration with industry. As such, you will require good programming skills.
You obtain in-depth knowledge of computer science for the subject areas data science, machine learning, artificial intelligence, edge computing and internet of things, image analysis, big data parallel programming, data mining, digital service innovation, and deep learning. At the same time, you gain experience of project work linked to research and service development, all in an international environment.
The programme is conducted in English.
Collaboration opportunities
The programme is carried out in collaboration with industry and the public sector.
Programme content
The courses listed below are included in the programme starting autumn 2024.
* included in the programme main area Computer Science and Engineering.
Year 1
- Perspectives on Data Science, 7.5 credits*
- Python – a Gateway to Machine Learning, 7.5 credits*
- Artificial Intelligence, 7.5 credits*
- Engineering Mathematics, 7.5 credits
- Learning Systems, 7.5 credits *
- Edge Computing and Internet of Things, 7.5 credits *
- Image Analysis, 7.5 credits *
- Big Data Parallel Programming, 7.5 credits *
Year 2
- Data Mining, 7.5 credits *
- Digital Service Innovation, 7.5 credits *
- Deep Learning, 7.5 credits *
- Thesis, 30 credits *
Elective courses:
- Computer Vision in 3D, 7.5 credits *
- Artificial Intelligence for Health, 7.5 credits *
- Intelligent Vehicles, 7.5 credits *
After the education
Degree
The programme leads to a Degree of Master of Science (120 credits) with a major in Computer Science and Engineering.
Career
The Master's programme in Information Technology prepares you for an advanced development role within the industry.
Potential positions after graduation:
- AI Engineer
- Data Analyst/Engineer/Scientist
- IT Team Leader/Program Manager
- Software Engineer/Developer/Programmer/Consultant
Opportunities for further studies
After the programme, you are qualified to apply for doctoral or PhD studies, for example in the University's third cycle courses in information technology.
Contact
- Questions about entry requirements, selection and admissions – Contact the Student Affairs Department
- Questions about the content of the education – Contact the Programme Director: Contact details can be found in the education information box.
- Questions regarding studies and career opportunities – Contact Study and Career Guidance
