Applied Artificial Intelligence (AI)
Are you excited about building the next generation of intelligent systems? Our Bachelor’s Programme in Data Science – Applied AI gives you hands-on experience in constructing, implementing, and advancing modern AI technologies that can solve societal challenges. The programme is closely connected to several of the UN's global goals for sustainable development and combines perspectives from different subject areas.
Education occasions
About the education
What will you study during the programme?
This programme offers much more than technical expertise: it helps you understand the human, ethical, and societal dimensions of AI. By studying at the intersection of mathematics, computer science, and social responsibility, you will gain the ability to build AI systems that are not only powerful but also trustworthy and sustainable. Our international environment, practical learning approach, and close collaboration with industry partners ensure that you are well-prepared to apply your knowledge to meaningful global challenges. With application areas in business, healthcare, and energy, the programme combines technical depth with domain-specific expertise, preparing you to create AI solutions that are both innovative and impactful in the real world.
Elective courses focusing on the UN 2030 Agenda
During your education, you will broaden your knowledge in the field of sustainable development, in addition to the sustainability focus that already exists within the programme. You will take an elective course worth 7.5 credits based on the UN 2030 Agenda and the global goals for sustainable development. You can choose a course from a range of courses that suits your interests
Innovative environments and teaching methods
At Halmstad University, you will take part in inspiring teaching in modern study environments, together with dedicated teachers and fellow students. You will have the chance to test, try, and experiment in settings that encourage creativity and innovation. We offer small student groups where you are encouraged to share your opinion and discuss topics from different perspectives.
Collaboration opportunities
Halmstad University has well-established collaborations with both the private and public sectors. Education and working life are connected through guest lecturers and real-world assignments — including your final thesis — which you carry out together with companies and organisations partnered with the University.
Study Abroad
The programme offers excellent opportunities to broaden your horisons through exchange studies at one of our partner universities across the globe. Spending a semester abroad allows you to experience new academic cultures, expand your professional network, and enrich your education with perspectives from other leading institutions in AI and data science.
After the education
Degree
The programme leads to a Bachelor’s degree in Data Science.
Career Opportunities
Graduates of this programme are prepared for a wide range of exciting careers in the rapidly growing AI and data science sector. Your chosen specialisation; business, healthcare, or energy —provides you with domain-specific expertise that gives you a unique advantage in the global job market.
Examples of professional roles:
- Data scientist
- Machine learning engineer
- AI consultant
- Data analyst
- Innovation specialist
Further Studies
After completing your bachelor’s degree, you will be well-prepared for advanced studies on master’s and doctoral levels. You will be eligible to apply for master’s programmes in Data Science, Artificial Intelligence, or Machine Learning, including our own international Master’s Programme in Information Technology – Data Science, AI, and Machine Learning. These advanced studies open doors to research, leadership roles, and specialised expertise in cutting-edge AI applications.
Contact
- Questions about entry requirements, selection and admissions: admissions@hh.se
- Questions regarding studies and career opportunities: Study and Career Guidance
- Questions about the content of the education, contact the Programme Director. Contact details can be found in the education occasions box.
