AI is transforming the way we work, learn, and innovate. The need for experts who can apply artificial intelligence in practice has never been greater. Noroff is now launching a new programme in Applied Artificial Intelligence, opening the door to exciting careers in AI and technology.
Artificial intelligence is no longer a niche field; almost every industry now requires AI expertise, whether in products, services, or internal processes. Yet companies struggle to find people who both understand AI concepts and can build, implement, and use solutions in a responsible way.
- A dedicated programme in Applied Artificial Intelligence gives students technical knowledge, practical skills, and a problem-solving mindset so they can contribute to real projects from day one, says Bertram Haskins, Program Manager for the Applied Artificial Intelligence programme at Noroff.
A rapidly growing market
Following the breakthrough of generative AI, the demand for competence has exploded and changed in character. Previously, AI roles were largely academic or research-oriented. Today, industries need engineers and professionals who can operationalise models, build workflows, version data, deploy APIs, and monitor systems in production.
- The demand for AI competence is higher than ever and continues to grow. We see that practical application of AI is becoming just as important as theoretical knowledge, says Vanita Kalaichelvan, Senior Data Scientist at Simula Research Laboratory, who has also contributed actively to the development of the programme.
Vanita Kalaichelvan, David Arango and Bertram Haskins.
Key skills for future AI engineers
David Lara Arango, Chief Data Scientist at Atea, highlights three areas that are essential for succeeding with AI.
First is technical depth, programming in Python, data processing, and statistical understanding form the foundation for building functional AI solutions. Next comes problem formulation and business understanding, the ability to translate vague customer challenges into concrete machine learning tasks is often what separates the strongest candidates from the rest.
Finally, he emphasises communication and visualisation. A model that no one understands has little value.
- We see many who can solve a defined problem, but very few who can define the problem in the first place. This programme trains that skill, Arango says.
The AI programme also provides insight into how machine learning can be used for intelligent automation, predictive maintenance, decision support, and improved user or customer experience, all integrated into digital workflows.
Who is the programme suited for?
Applied AI is suitable for curious students who enjoy experimenting, thinking critically, and solving problems. It is relevant both for those with a technical background and those who want to understand how AI affects organisations and society.
- Students should be eager to learn, work hands-on with code and data, and be able to adapt quickly in a field that changes monthly, Haskins says.
Practical and industry-oriented education
The programme is a two-year online study starting on 11 August 2026. It is structured to reflect how the industry works, with project-based learning from problem definition to solution. Students learn to collect and prepare data, build and test models, and present results in a clear and understandable way for decision-makers.
Industry partners such as Simula Research Laboratory and Atea have contributed actively to the development of the programme, ensuring that the teaching is closely connected to real industry needs.
- The programme balances technical skills, project management, and communication, preparing students to become valuable resources in organisations, Kalaichelvan says.
The AI competence of the future
Applied Artificial Intelligence gives students the confidence to build and apply AI solutions, understand generative models, deep learning, NLP, data visualisation, and ethical considerations. The programme also teaches students how to learn new technologies, manage complexity, and adapt to continuous development in the field.
- The goal is for students to graduate with both technical skills and an understanding of how AI affects people and society. They will be ready to contribute in the workplace from day one, Haskins concludes.
Programme facts
- Start date: 11 August 2026
- Duration: Two years full-time
- Credits: 60 ECTS per year
- Study model: 100% online, with fixed assessment points
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