Applied Artificial Intelligence

• Information about semester start for Applied Computer and Information Technology (ACIT) students (student.oslomet.no).
• General information about semester start at OsloMet (student.oslomet.no).

To apply for this programme you must have one of these:

• a bachelor’s degree in Computer Science, Computer Engineering or Informatics
• a bachelor’s degree in Information Technology or other equivalent qualifications, which include at least 80 ECTS within the field of computer science
• a bachelor’s degree in Electrical Engineering, Mathematics or Applied Mathematics with at least 10 ECTS of programming
• a bachelor’s degree in Mechanical Engineering with specialization in mechatronics, with at least 20 ECTS in programming 

You must also have: 

• an average grade of at least C (according to the ECTS grading scale) on your bachelor's degree 
• proof of your English proficiency

Applicants will be ranked on the basis of grade average from their bachelor's degree.

More about admission to master's programmes.

You apply via Søknadsweb, where you fill in your details and upload all the required documents.

There are different application deadlines based on which country you apply from:

• 1 November: Admission for international applicants from countries outside of the European Union / the European Economic Area (EEA) / Switzerland
• 1 March: early admission for applicants from the European Union, the European Economic Area (EEA) and Switzerland, and for non-EU/EEA citizens with a Norwegian national ID number residing in Norway
• 15 April: ordinary admission for applicants from the European Union, the European Economic Area (EEA) and Switzerland, and for non-EU/EEA citizens with a Norwegian national ID number residing in Norway 

For students from the EU/EEA/EFTA the only cost of this programme is the semester fee (student.oslomet.no) of approximately NOK 1,000, which you pay each semester of the programme. For these students there are no tuition fees.

For students from countries outside the EU/EEA/EFTA there are tuition fees in addition to the semester fee (student.oslomet.no).

Advances in artificial intelligence (AI), especially deep learning and generative AI models, have enabled computers, machines or systems to perform many formidable tasks better than humans, even domain-experts.

You can find examples of this in autonomous vehicles, smart chatbots and world-master-level AI game-players. Powerful AI systems for fast and high-precision protein structure prediction contributes to early detection, diagnosis and treatment of complex diseases.

AI is indeed revolutionizing the way we work, cooperate and live.

In this applied AI specialization, you will learn how intelligent systems are designed, analysed and utilized to make autonomous recognition, decisions and control; precisely what is known as AI today.

We adopt a holistic perspective. This means that you will not only learn the theory, but also use and test the theory and knowledge you have learned in practical problem-solving scenarios.

You will have access to various types of AI platforms and tools, for example autonomous mobile robot, and high-performance computing infrastructures, to test the AI and machine learning (ML) models and algorithms you have developed.

This specialization typically requires certain background knowledge/experience in

• engineering mathematics, for example calculus, linear algebra, statistics and probability theory and numeric optimization
• computer programming, mostly in Python, occasionally in Matlab or R
• possibly robotics in some cases

Programme description (student.oslomet.no)

You write a master's thesis of either 30 (short) or 60 (long) credits, where you get the opportunity to immerse yourself in ongoing research at OsloMet, or work on a smaller-scale, concrete project of your own interest and choice.

All courses are taught in English.

The programme focuses on active forms of learning, where you learn advanced theory through the practical use of technology.

You are expected to take responsibility in your studies, because a master's degree must prove your ability to work independently. Therefore, the teaching is more closely organized at the beginning than towards the end, where the choices and responsibility rest to a greater extent on you as a student.

You will have a variety of

• lectures
• seminars
• lab work
• digital learning tools
• group projects
• individual work
• homework assignments

Applied Artificial Intelligence is a specialization in the Master's Degree Programme in Applied computer and Information Technology. You will find the relevant courses for the specialization in the overview.

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You can go on exchange in the third semester.

You can find information about exchange on our student website (student.oslomet.no). 

The specialisation in Applied Artificial Intelligence educates and produces qualified professionals to both public and private sector.

With a specialization in Applied Artificial Intelligence you are particularly well qualified for jobs such as technical consultant, data scientist/engineer, software developer, and other professions in innovation, development and research. 

After a few years of working experience, it is not uncommon for you to get positions such as project manager or team leader.

As a technologist, you are not tied to a particular sector or industry. You could work in healthcare, education, public transportation or entertainment and gaming.

An advantage of studying technology is that you do not have to decide on which sector you want to work in at the beginning of your studies. You can change paths during your career.

The master’s degree qualifies you for further PhD study if you are interested in pursuing more advanced studies after graduation, depending on your specialization and grades.