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.

Apply now

Online Studies

12 August 2025 More startups

14 October 2025

6 January 2026

10 March 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

11 August 2025

1 year full time

NOK 62.000,- per semester
NOK 1.900,- 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.

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 Helps Develop Mobile 5G Solution for Emergencies

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 buying a computer, you should ensure that it meets the minimum requirements. This ensures sufficient processing power, storage capacity and memory to handle loading datasets and training machine learning models.

  • CPU: Intel i5, AMD Ryzen 5 or better
  • RAM: 16GB
  • Storage: 500GB (1TB is recommended)
  • Operating system:
    • Windows 10, MacOS 11 (Big Sur) or later.
    • Make sure you have full administrator rights to install and manage all aspects of the system.
  • 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 program, you will receive information about the specific software you need to use for each course. In general, however, you should have access to the following:

  • Spreadsheet software, such as Microsoft Excel or Google Sheets.
  • Text software, such as Microsoft Word or Google Docs.

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 151,690) and tuition fees (NOK 77,192).

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

Få studieveiledning på Noroff

Get study guidance

Questions about our programs?
We're happy to help!

Related news

First-year students Rebekka, Ilse, and Malin impressed at the Magnet Summit Capture The Flag competition. Despite having less experience than many of the other participants, they secured a strong placement.

As cybercrime continues to escalate in scale and sophistication, the demand for skilled digital defenders has never been greater. Noroff University College is equipping the next generation to meet this challenge head-on.

For several years, Noroff has maintained a close partnership with Atea, one of Norway’s leading players in IT infrastructure. This collaboration has now led to an exciting new hire: student Marco Høyvang Stormyr has landed a job as a junior consultant.

     

Apply now

Top