Artificial Intelligence
Key information
Industry-oriented
Guest lectures, workshops, and practical projects from the business and industry sectors prepare you for the workforce.Exchange
You can apply for an exchange program in the third semester. Read more at the bottom of the page.Good job opportunities
There are good job opportunities for those who can develop the AI of the future.Important deadlines
The application deadline is April 15th. The documentation deadline for diplomas and certificates is July 1st.Admission requirements
For this study program it is required that you have General University and College Admissions Certification. It is also required to have passing grade in mathematics R1 or S1+S2.Tuition fees
54 200 kr per semester*. Additional information about prices can be found here.
- Bachelor
- Fall 2025
- Full-time
- 180 Points
- Oslo
- 3 years
- English
Learning outcomes
You will develop skills in programming, data analysis, and ethical AI design, as well as gain practical experience in developing and implementing AI systems using modern tools.
The program will equip you with the competencies that will make you a sought-after candidate in an exciting and rapidly growing technology industry.
Artificial intelligence is changing the way we live by automating processes, optimizing resources, and enabling smarter decisions in areas such as healthcare, finance, energy, and technology.
There is high demand for skilled candidates who can develop ethical and sustainable AI solutions to drive innovation and solve societal challenges. This study program provides you with the foundation you need to start an exciting career in the field.
Study model
- INA2000Introduction to Artificial Intelligence
This course is split into three main parts. In the first part, the students will learn about the history of Artificial Intelligence (AI) and ethical considerations. The second part will focus on the main concepts of AI such as different models, architectures, algorithms, etc. In this part, the students will also get some hands-on experience with supervised learning algorithms. The third part of the course will focus on how to determine if an AI system is good or not, both in terms of performance and ethically.
- PGR206Data Structures and Algorithms
The course will provide insight into algorithms and data structures that are central to the work of implementing and designing effective computer systems. Emphasis is placed on asymptotic analysis of worst-case scenarios, as well as central algorithms and data structures related to search and sorting. The course also deals with graph algorithms, optimization algorithms and data-compression algorithms.
- PRO2000Programming
The course aims to give students knowledge of fundamental and advanced programming concepts in the language C++, and to further develop students' programming knowledge to the level necessary to develop efficient and complex systems including embedded systems. In addition to C++, students will also learn to use relevant IDEs and other tools for developing software for embedded systems.
- VAL999-30BValgemner, utveksling eller praksis i bedrift
Du kan lese mer om dine valgmuligheter i dette semesteret her:
- USL2000Unsupervised Learning
The student learns about different unsupervised learning machine learning algorithms. The course provides the student with the basics of unsupervised learning as well as importance and applications. The student learns about the tools of performance evaluation as well as the definition and significance of different evaluation metrics. Students will also learn how to visualize the output of their methods so it can be interpreted and discussed with domain experts.
- PGR307Agile Project
The purpose of the course is to give the student an experience in mastering the whole of a project, with emphasis on applying a flexible method: Scrum. Scrum is a flexible process framework for developing innovative products and services, especially suitable for software development.
Through a process for developing a technical solution, the student will plan and implement a comprehensive project case for a company in a multidisciplinary group, and will receive training in using modern agile techniques and tools along the way.
- DAI2000Deep Learning and Explainable AI
The course provides knowledge of the key concepts, techniques and methods related to deep learning and explainable artificial intelligence methods. The students gain in-depth knowledge of mathematical foundations of deep learning, neural networks and gain advanced skills in applying the appropriate tools, techniques and development of the respective areas. Furthermore, the course provides the students with practical hands-on experience on deep learning using open source deep learning libraries in the Python programming language. After completing the course, the students will be able to apply and use appropriate deep learning techniques and explainable AI within various data science domains.
- PGR306Research Methods
The course aims to introduce research methods with a focus on methods that are especially relevant for the Data Science. The course supports the bachelor's degree project.
- BAO304Bachelorprosjekt
I dette emnet får studentene yrkeserfaring ved å gjennomføre et IT-prosjekt i en bedrift. Studentene skal demonstrere bred kunnskap om sentrale temaer og teorier, samt vise ferdigheter i metode, bruk av verktøy og teknologier innenfor fagområdet. Prosjektet gjennomføres i grupper og resultatet av arbeidet dokumenteres i en prosjektrapport. Prosjektleveransen defineres og utvikles i samråd med bedriften, samt at studentene følges opp av en intern veileder ved skolen. Dette emnet bygger også på tidligere emner i bachelorløpet, i form av blant annet kunnskap om utviklingsmetoder, risikohåndtering, prosjektarbeid og prosjektstyring. Utover dette må også studentene regne med å sette seg inn i ny kunnskap relatert til prosjektet de skal gjennomføre. Det kan være knyttet til bruk av programmeringsspråk, metode eller programvare. Emnet har en sterk arbeidslivsrelevans og studentene får reell og nyttig arbeidserfaring i løpet av prosjektperioden.
Career opportunities
As a graduate, you can look forward to exciting career opportunities with companies that need candidates proficient in machine learning, programming, and innovative solutions.
You will also be qualified for roles in data analysis, big data management, and data development, while also having the opportunity to further specialize through master's and PhD programs.
You can work as:
- Data Analyst
- Artificial Intelligence / Machine Learning Specialist
- Data Scientist
Industries where AI is experiencing strong growth include:
- Healthcare
- Energy
- Finance
- Public Administration
Meet the faculty
How we work
This study program will introduce you to an innovative and academic environment closely connected to research departments specializing in artificial intelligence and computer science.The Bachelor in Artificial Intelligence is anchored in Kristiania's Artificial Intelligence Laboratory (TheAILab) and collaborates with other leading research groups such as AISE (Artificial Intelligence in Software Engineering), SmartSecLab, and MOTEL (Mobile Technology Lab).
These departments provide students with access to a recognized national and international research community with strong ties to the industry, promoting innovation and practical insights throughout the study program.
Study life
As a student at Kristiania, you can look forward to an international environment that promotes collaboration and diverse perspectives. You will participate in group projects, workshops, and guest lectures, and you will also have the opportunity to go on exchange programs and attend industry-related events.An education from Kristiania is practically oriented, and you will often work with real clients. At the end of your studies, you will complete a bachelor project at a company, where you will have the opportunity to apply theoretical and practical knowledge to solve a problem.
This is the application process
Important deadlines
The application deadline is April 15. The deadline for submitting diplomas and certificates is July 1.Read moreProcessing time
For study programs with rolling admissions, you will receive a conditional offer within 1–3 days of submitting the application, if there are available slots for the study program you applied for.Read moreHow to apply
Min Side for søkere is where you accept the offer and upload necessary documentation for your qualifications.Read more
Semester registration
You must register and confirm your individual education plan before you are reported as an active student to the Norwegian State Educational Loan Fund, and to gain access to your subjects in Canvas, the learning platform.Read moreSiO (Oslo) and Sammen (Bergen)
SiO and Sammen offers housing, health services, kindergardens, fitness centers and much more to its members.Read moreLoans and grants
All our study programs are publicly approved and give the right to apply for loans and grants from the Norwegian State Educational Loan Fund (Lånekassen).Read more
Services and adaptations
As a student, you can get guidance, everyday adaptation and follow-up on study-related questions and challenges. We have a duty of confidentiality.Read moreMitt Kristiania
This is where you get an overview of your schedule, syllabus, services and other tools you need as a student.Mitt KristianiaStudent ID card
As a new student, you can have a student card made on all our campuses except the Brenneriveien Campus. Your student card serves as an access card at the college’s campuses, ID for exams, payment card for printers and library card.Read more
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