Artificial intelligence now underpins modern digital systems across industries. The Applied Artificial Intelligence programme at Noroff educates students to design, build, and deploy intelligent solutions for real-world use.
AI has rapidly evolved from a specialised academic discipline into a core component of digital infrastructure. Businesses and public sector organisations increasingly rely on machine learning models to analyse data, optimise operations, and support complex decisions. As adoption accelerates, so does the demand for professionals who understand not only how models are trained, but how they are implemented, evaluated, and maintained in real-world environments.
– There is a significant difference between experimenting with machine learning models and deploying systems that operate reliably in production. Our goal is to educate students who can do both, says Bertram Haskins, Program Manager for Applied Artificial Intelligence at Noroff.
The Applied Artificial Intelligence programme combines programming, data science, model development, and cloud-based deployment. Students learn to work through the full AI lifecycle — from problem definition to operational implementation.
Bertram Haskins, program manager for Applied Artificial Intelligence at Noroff.
From problem definition to deployment
Modern AI development requires more than technical intuition. It demands structured problem analysis, high-quality data preparation, careful model evaluation, and secure deployment strategies. Without this holistic approach, even technically sound models may fail to deliver value.
Throughout the programme, students work systematically with:
- Framing and analysing real-world problems
- Collecting, cleaning, and preparing datasets
- Developing and training machine learning models
- Evaluating performance and identifying limitations
- Deploying solutions in cloud-based and production environments
– We emphasise that students must understand what happens “under the hood.” At the same time, they need hands-on experience with the tools and frameworks used in industry today, says Haskins.
This end-to-end methodology reflects how AI systems are developed and maintained in professional settings. Students do not simply build isolated models; they learn how to integrate intelligent solutions into larger technical ecosystems.
AI competence across sectors
Artificial intelligence is no longer confined to technology companies. Financial institutions use AI for fraud detection and risk modelling. Healthcare organisations apply machine learning to diagnostics and resource planning. Retailers optimise logistics and customer experiences through predictive analytics. Public sector agencies increasingly rely on data-driven insights to improve services.
– AI is becoming a foundational competence across industries. Organisations need professionals who can translate data into insight and transform prototypes into operational systems, says Haskins.
The programme prepares students for roles such as Data Scientist, AI/ML Engineer, AI Application Developer, Software Developer, and Machine Learning Technician. These positions require both technical depth and practical understanding of implementation challenges.
A structured pathway with academic depth
The programme is offered as a two-year full-time study or a four-year part-time alternative. The first year corresponds to the one-year Applied Machine Learning programme, providing a strong foundation in machine learning principles and practice. The second year expands into broader artificial intelligence concepts, advanced modelling techniques, and more complex system development.
Delivered as an online study programme and eligible for support from the Norwegian State Educational Loan Fund (Lånekassen), the degree offers flexibility while maintaining academic rigour.
– Artificial intelligence will continue to shape technological and societal development. We aim to educate graduates who not only understand these systems, but who can design and build them responsibly and effectively, says Haskins.
As AI becomes embedded in critical infrastructure, business strategy, and digital services, the need for structured competence will only increase. Applied Artificial Intelligence at Noroff is designed for students who want to develop that competence — and apply it in practice.