Applied Machine Learning - Anvendt maskinlæring på Noroff

Professional Degree

Applied Machine Learning

Online Study Programme

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.

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Online Studies

6 January 2026 More startups

10 March 2026

11 August 2026

13 October 2026

1 year full time | 2 years part time

Full time: NOK 45.000,- per semester
Part time: NOK 22.500,- per semester

State Educational Loan Fund (Lånekassen)

Oslo, Bergen

10 August 2026

1 year full time

NOK 62.000,- per semester
NOK 1.900,- registration fee

Accept within 31 Jan 2026:
NOK 0,- registration fee

State Educational Loan Fund (Lånekassen)

AI in the study programme

How is AI used in the Applied Machine Learning programme?

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.

How is AI used in the workplace as a Machine Learning Practitioner?

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.

Why Study Applied Machine learning?

Artificial Intelligence (AI) is a revolutionary technology that is shaping the future of business, healthcare, transportation and society. Machine learning, the core of AI, enables systems to learn and improve over time without manual programming, driving innovation through automation, personalisation, and data-driven decision-making.

This programme provides you with a strong foundation in machine learning and AI, combined with practical skills in Python programming. 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.

💰 Program developers in Norway have an average salary of about 850,000 NOK, according to data from SSB.

Two-year programme also available

After this one-year programme, many are ready for employment. For those who wish to continue their training in IT security, there is a seamless transition to the second year of the Applied Artificial Intelligence programme.

Career Opportunities

After completing Applied Machine Learning, you can pursue careers such as:

  • AI engineer
  • Data Analyst
  • Machine Learning Engineer
  • Software developer
  • Consultant in artificial intelligence and data mining
Jørgen Skogmo

Jørgen develops AI that finds missing people.

Programme information

Learning outcomes

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 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.

Read more about the study program in our course catalog.

Course structure

Subjects in Applied Machine Learning:

  • Problem Based Learning
  • Introduction to Programming
  • Introduction to Data Mining
  • Data Pre-Processing
  • Programming for Machine Learning
  • Computational Intelligence
  • Data Visualisation
  • Exam Project

Extended programme information

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

Hardware and software

When purchasing a computer, ensure it meets the minimum requirements. This ensures sufficient processing power, storage capacity and memory to handle all required activities, tasks and projects.

Operating system

  • Windows 10/11, macOS 14 (Sonoma) or later.

Ensure that you have full administrator rights to install and manage all aspects of the system.

CPU

  • For Windows: Intel i5, AMD Ryzen 5 or better
  • For macOS: M2 or newer

RAM

  • Windows minimum: 8GB
  • macOS minimum: 16GB
  • Overall recommended: 16GB

If you are using macOS, some software may require virtualisation, as it may not be available for macOS or may have 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.

Storage

  • Minimum: 500GB
  • Recommended: 1TB

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).

Admission requirements

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 program, you must have general study competence or vocational education with a professional certificate. It is also possible to apply based on recognized 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.

You can read more about admission requirements here.

Financing

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.

You can read more about payment, loans, and grants here. 

Student interviews

Julie Jansen
It would be cool to work for companies like OpenAI. Julie Jansen
Håkon Engfeldt
I saw that the expertise could be applied in various industries. Håkon Engfeldt

Our academic staff

Leon Grobbelaar
Machine Learning is crucial in driving the Fourth Industrial Revolution, arming students with dynamic skills akin to our rapidly evolving digital world. Leon Grobbelaar
Bertram Haskins
Our focus is on tangible skills that you can immediately apply, ensuring you are industry-ready upon graduation. Bertram Haskins

Watch livestream recording

Livestream recording June 2025 - Machine Learning and Data Analyst at Noroff
Få studieveiledning på Noroff

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Related news

From his living room in Stockholm, Andreas Christersson has found the freedom to shape his own everyday life. Through online studies in IT, networking and security, he has not only built new competence, but also discovered the joy of mastery and balance.

After nearly twelve years in the workforce, Kjell Morten decided to start over. Today, he works in cyber security at Siemens Energy, a job he landed right after earning his bachelor’s degree from Noroff University College.

PST warns of increasing hybrid threats and digital influence operations. Data analysis is crucial in the fight against cyberattacks and disinformation, and Noroff’s programs provide students with the necessary skills.

     

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