Select your language
Select your language
There are few aspects of our digital lives that are untouched by machine learning. With this programme, you'll teach systems to learn from data. You'll be highly qualified for jobs in AI and can start working straight after graduation.
|
|
Online Studies |
|
13 October 2026 More startups 12 January 2027 16 March 2027 10 August 2027 |
|
|
1 year full-time | 2 years part-time |
|
|
Full-time: NOK 47.000,- per semester |
|
|
Eligible for Norwegian student funding (Lånekassen) |
The Applied Machine Learning programme teaches you to use AI-based tools to streamline tasks such as data analysis, model development and automation. These tools serve as valuable tools that improve workflows, but the programme also emphasises critical evaluation. You will learn how to evaluate AI-generated results, identify errors and adapt solutions to ensure accurate analysis and robust models. This combination of practical application and critical thinking will enable you to use AI as a powerful complement to your professional expertise.
AI is a key tool for automating time-consuming tasks such as data pre-processing, model optimisation and predictive analysis. This allows you to focus on more complex challenges and strategic problem solving. At the same time, your expertise is essential for evaluating and improving AI solutions, as the results are not always flawless.
With the right skills, you can use AI to create precise, customised solutions that improve efficiency and accuracy across industries.
Artificial Intelligence (AI) is a revolutionary technology that is reshaping the future of a great many industries, including, among others, software development, healthcare and finance. Machine learning (ML) is the fundamental component that helps build AI models. ML provides the means by which AI-based systems learn how to make decisions and automate processes, based on training data.
This programme provides you with a strong foundation in machine learning and the fundamentals of AI, reinforced by practical Python programming skills. You will learn to analyse data, build models and interpret results - skills that will position you as a key player in a rapidly growing industry.
After this one-year programme, many are ready for employment. For those who wish to continue their training in Artificial Intelligence, there is a seamless transition to the second year of the Applied Artificial Intelligence programme.
After completing Applied Machine Learning, you can pursue careers such as:
The programme teaches you to deal with data quality challenges and gives you skills in preparing and organising data in an orderly way using statistical techniques. You will also be introduced to programming for machine learning. You will learn how to write code, format and manage data, test programs and solve problems in code. You will learn how to improve the accuracy of machine learning models and optimise applications. Throughout the programme, you will gain knowledge of the strengths and weaknesses of big data visualisation concepts and techniques, as well as tools and techniques for processing and analysing different types of data.
The academic year ends with an exam project in which you can demonstrate the skills you have acquired during the programme. You are encouraged to find a real-world project to gain practical experience in constructing the machine learning pipeline, from dataset identification right through to model construction and visualisation.
Read more about the study programme in our course catalogue.
Subjects in Applied Machine Learning:
| School: | Noroff Higher Vocational College (Noroff Fagskole) |
| Application deadline: | Continuous admission. Applications are processed in the order they are submitted. |
| Language of instruction: | English online. Norwegian/English on campus |
| Accreditations: | Approved for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen). Accredited by NOKUT. |
| Degree: | Professional Degree |
| Credits: | 60 Credits |
When buying a computer, make sure it meets the minimum requirements. This ensures sufficient processing power, storage capacity, and memory to handle datasets, virtualisation, and training/using AI models.
Note (macOS): Some software may require virtualisation, as it may not be available for macOS or has limited features compared to the Windows version. In such cases, a Windows virtual machine would need to be run inside macOS, or an online service providing Windows hosting would be used. External hosting services are not provided as part of the course fees.
Other options are to perform training in the cloud, using services such as Azure (possibly free) or Weights and Biases (has a free tier, but might not have enough resources to run large models).
Webcam and microphone: Students are expected to communicate with staff and fellow students via video and voice calls. It is recommended to use a good quality headset (headphones + microphone).
When you start the programme, you will receive information about the specific software you need to use for each course.
If you are considering the possibility of continuing with the second year, but you're not sure yet and still need to purchase hardware, please review the increased hardware requirements for the second year in the Applied Artificial Intelligence programme.
Noroff has ongoing admissions, and applications are processed in the order they are received. The earlier you apply, the earlier you can secure a study place.
To qualify for the programme, you must have general study competence or vocational education with a professional certificate. It is also possible to apply based on recognised prior learning.
For international students, depending upon which country you have received your education from, the requirements will differ. Please use this website where you can find the specific requirements for your country at the bottom of the page.
All our study programs are approved for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen). You can apply to the Loan Fund for basic support (loan and grant; NOK 166.859) and tuition fees (NOK 79,432).
As an adult student, you can receive loans and grants from the State Educational Loan Fund. This also applies if you work while studying.
As a main rule, you must be a Norwegian citizen to receive support from the Norwegian State Educational Fund. However, foreign citizens may also be entitled to financial support. Check here to see if you are eligible.
