Fakta
Informasjon er oppdatert av UiT Norges arktiske universitet
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Om studiet
Turn your passion for technology into impact with the Master’s in Computer Science. This program empowers you to solve real-world problems through innovative, cross-disciplinary collaboration. Whether you're into science, healthcare, or engineering, you'll develop smart, efficient solutions that benefit society and industry. Perfect for those who love programming, systems, and creating technology that matters.
The program builds on skills in basic programming and database systems acquired through a bachelor’s degree (see admission requirements). It will provide you with a deeper and more detailed understanding on computer systems, software architecture and programming. Your master thesis towards the end of the program will allow you to develop a broader skillset within your chosen area of specialization.
This master’s program in Computer Science is unique in its very experimental approach with a lot of practical programming exercises and laboratory work. The computer science courses are taught by active researchers and professors and are directly connected to the on-going research projects carried out by the academic staff at the department.
Undervisningsopplegg
Opptaksinformasjon
Bachelor’s degree (180 ECTS) or equivalent qualification, with a major in Computer Science of minimum 80 ECTS.
Applicants must have a minimum grade average comparable to a Norwegian C (2,5) in the ECTS scale, see the UiT webpage for International admissions for more information on how the point average is calculated.
Applicants with education from non-Nordic countries must document English language proficiency. You will find more information on English language requirements on the UiT webpage for International admissions.
Admission capacity:
20 places
Applicants from Norway or Nordic countries:
Her finner du all informasjon knyttet til søking og opptak.
Applicants within EU/EEA/Switzerland (except the Nordic countries):
You will find more information about international admission here.
The program is not available to applicants from outside the Nordic countries and the EU / EEA / Switzerland (Non EU / EEA applicants).
Læringsutbytte
Knowledge
The candidate has…
- a broad solid foundation in computer science
- considerable depth of understanding of a selected area of specialization
- a deep understanding on state of the art distributed and parallel software architectures
- a solid knowledge about risks and threats in computer systems and their related security measures
- a solid understanding of system and application development relevant to the chosen specialty
Skills
The candidate can…
- work independently on a significant non-trivial scientific problem
- analyze a problem and plan how to work towards a solution
- plan, organize and execute the work required to solve the problem.
- adapt to changes and limitations when solving the problem
- demonstrate the feasibility of the solution by implementing key parts
- collect and analyze relevant metrics characterizing the problem and the solution
- write a well-structured and clearly formulated report describing the thesis work and reflecting on its results
General competence
The candidate …
- can contribute to the continued development of computer science as a dynamic field under the influences of advances in the discipline, changes in technology, and in application areas, business models, and businesses.
- can communicate effectively, orally and in writing, within the field, and with the public as well as experts in other fields
- can pursue life-long learning and development
- understands relevant social and ethical issues and can apply this awareness to their professional conduct
- can contribute to new thinking and sustainable innovation processes
Karrieremuligheter
Here’s a list of popular career paths in computer science:
- Software Developer – Build apps, websites, and systems.
- Data Scientist – Analyze data to find trends and make predictions.
- Cybersecurity Analyst – Protect systems from digital threats.
- Machine Learning Engineer – Create AI models that learn from data.
- Game Developer – Design and code video games.
- DevOps Engineer – Automate and streamline software deployment.
- Product Manager – Lead tech product development and strategy.
Utveksling
There are several possibilities for exchanges abroad. The exchange period depends on your individual study plan, and should be planned in collaboration with the student advisor and the student’s supervisor.